ISSN 1451 - 9372(Print) ISSN 2217 - 7434(Online) JANUARY-MARCH 2016 Vol.22, Number 1, 1-126 www.ache.org.rs/ciceq Journal of the Association of Chemical Engineers of Serbia, Belgrade, Serbia Vol. 22 Belgrade, January-March 2016 Chemical Industry & Chemical Engineering Quarterly (ISSN 1451-9372) is published quarterly by the Association of Chemical Engineers of Serbia, Kneza Miloša 9/I, 11000 Belgrade, Serbia Editor: Vlada B. 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Box 3503, 11120 Belgrade, Serbia Abstracting/Indexing: Articles published in this Journal are indexed in Thompson Reuters products: Science Citation TM Index - Expanded - access via Web of ® SM Science , part of ISI Web of Knowledge No. 1 CONTENTS Shenghua Zhu, Yonghui Bai, Lunjing Yan, Qiaoling Hao Fan Li, Characteristics and synergistic effects of copyrolysis of Yining coal and poplar sawdust .......................... 1 Jasmina Gubić, Jelena Tomić, Aleksandra Torbica, Mirela Iličić, Tatjana Tasić, Ljubiša Šarić, Sanja Popović, Characterization of several milk proteins in domestic balkan donkey breed during lactation, using lab-on-a-chip capillary electrophoresis ................................................ 9 Seyed Ali Alavi Fazel, Goharshad Hosseyni, Experimental investigation on partial pool boiling heat transfer in pure liquids ........................................................................... 17 Marija Ilić, Franz-Hubert Haegel, Vesna Pavelkić, Dragan Zlatanović, Snežana Nikolić-Mandić, Aleksandar Lolić, Zoran Nedić, The Influence of alkyl polyglucosides (and highly ethoxylated alcohol boosters) on the phase behavior of a water/toluene/technical alkyl polyethoxylate microemulsion system ........................................ 27 V. Sangeetha, V. Sivakumar, biogas production from synthetic sago wastewater by anaerobic digestion: optimization and treatment ................................................... 33 Muhammad Imran Ahmad, Muhammad Sajjad, Irfan Ahmed Khan, Amina Durrani, Ali Ahmed Durrani, Saeed Gul, Asmat Ullah, Sustainable production of blended cement in Pakistan through addition of natural pozzolana ............................................................................. 41 Yuehao Luo, Robert Smith, Lork Green, Exploring instantaneous micro-imprinting technology on semi-cured epoxy resin coating based on relationship between forming precision and curing degree .................................... 47 Zorana Boltić, Mića Jovanović, Slobodan Petrović, Vojislav Božanić, Marina Mihajlović, Continuous improvement concepts as a link between quality assurance and implementation of cleaner production – Case study in the generic pharmaceutical industry .................................... 55 Aleksandar Golubović, Ivana Veljković, Maja Šćepanović, Mirjana Grujić-Brojčin, Nataša Tomić, Dušan Mijin, Biljana Babić, Influence of some sol-gel synthesis parameters of mesoporous TiO2 on photocatalytic degradation of pollutants ....................................................... 65 Mehdi Asadollahzadeh, Shahrokh Shahhosseini, Meisam Torab-Mostaedi, Ahad Ghaemi, The effects of operating parameters on stage efficiency in an oldshuerushton column ..................................................................... 75 CONTENTS Continued Xiaolei Li, Chunying Zhu, Gas–liquid mass transfer with instantaneous chemical reaction in a slurry bubble column containing fine reactant particles ............................. 85 Jelena Popović, Goran Radenković, Jovanka Gašić, Slavoljub Živković, Aleksandar Mitić, Marija Nikolić, Radomir Barac, The examination of sensitivity to corrosion of nickel-titanium and stainless steel endodontic instruments in tooth root canal irrigating solutions ............... 95 O.S. Glavaški, S.D. Petrović, V.N. Rajaković-Ognjanović, T.M. Zeremski, A.M. Dugandžić, D.Ž. Mijin, Photodegradation of dimethenamid-P in deionised and ground water ...................................................................................... 101 Sonja V. Smiljanić, Snežana R. Grujić, Mihajlo B. Tošić, Vladimir D. Živanović, Srđan D. Matijašević, Jelena D. Nikolić, Vladimir S. Topalović, Effect of La2O3 on the structure and the properties of strontium borate glasses ............................................................................... 111 Marija Šljivić-Ivanović, Aleksandra Milenković, Mihajlo Jović, Slavko Dimović, Ana Mraković, Ivana Smičiklas, NI(II) immobilization by bio-apatite materials: Appraisal of chemical, thermal and combined treatments ..................... 117 Activities of the Association of Chemical Engineers of Serbia are supported by: - Ministry of Education, Science and Technological Development, Republic of Serbia - Hemofarm Koncern AD, Vršac, Serbia - Faculty of Technology and Metallurgy, University of Belgrade, Belgrade, Serbia - Faculty of Technology, University of Novi Sad, Novi Sad, Serbia - Faculty of Technology, University of Niš, Leskovac, Serbia - Institute of Chemistry, Technology and Metallurgy, University of Belgrade, Belgrade, Serbia Available on line at Association of the Chemical Engineers of Serbia AChE www.ache.org.rs/CICEQ Chemical Industry & Chemical Engineering Quarterly Chem. Ind. Chem. Eng. Q. 22 (1) 1−8 (2016) SHENGHUA ZHU YONGHUI BAI LUNJING YAN QIAOLING HAO FAN LI State Key Laboratory Breeding Base of Coal Science and Technology Co-founded by Shanxi Province and the Ministry of Science and Technology, Taiyuan University of Technology, Taiyuan, China SCIENTIFIC PAPER UDC 66.092-977-922(510):622.33 DOI 10.2298/CICEQ141125012Z CI&CEQ CHARACTERISTICS AND SYNERGISTIC EFFECTS OF CO-PYROLYSIS OF YINING COAL AND POPLAR SAWDUST Article Highlights • Co-pyrolysis characteristics of a Chinese coal and poplar sawdust were studied • Gas product yields of co-pyrolysis shows notable increase than that of separate pyrolysis • The synergistic effect is contributed mainly by the ash in the poplar sawdust Abstract Co-processing of biomass and coal is perceived as a way to enhance the energy utilization by virtue of the integrated and interactive effects between different types of carbonaceous fuels. The purpose of this study was to investigate the co-pyrolysis characteristics of Yining coal and poplar sawdust, and to determine whether there is any synergistic effect in pyrolytic product yields. The coal was blended with sawdust at mass ratios of 9:1, 7:3, 5:5, 3:7 and 1:9. The change of char yields, maximum weight loss rate and the corresponding temperature of different coal/sawdust blends during pyrolysis were compared by thermogravimetric analysis (TG). The total tar yields during pyrolysis of separate coal and sawdust, as well as their blends, were acquired from the low temperature aluminum retort distillation test. From the comparison of experimental and theoretical values of the char yields from TG and tar yields from carbonization test, it was observed that co-pyrolysis of coal/sawdust blends produced less char and tar than the total amount produced by separate coal and sawdust pyrolysis. The different product distribution suggested that there was synergy effect in gas product yields. The co-pyrolysis of demineralized and devolatilized sawdust with coal indicated that the ash in the sawdust was the main contributor to the synergistic effect. Keywords: co-pyrolysis, poplar sawdust, aluminum retort carbonization, synergies. To face the severe situation of fossil fuel supply shortage and environmental pollution, biomass energy has become a global interest and seen wide application in partly replacing coal in gasification process. As a renewable energy source, rational utilization of biomass can effectively solve the problem of energy shortage [1-5]. Co-pyrolysis, as the preliminary process of co-gasification, plays a crucial role in determining gas product distributions and char structure, Correspondence: F. Li, State Key Laboratory Breeding Base of Coal Science and Technology Co-founded by Shanxi Province and the Ministry of Science and Technology, Taiyuan University of Technology, Taiyuan 030024, China. E-mail: lifan66@hotmail.com Paper received: 25 November, 2014 Paper revised: 27 April, 2015 Paper accepted: 29 April, 2015 which is of vital importance to gasification reactivity. Therefore, it is necessary to understand the interactions between coal and biomass, the change in pyrolysis characteristic and possible synergistic effects of coal–biomass blending [6-10]. Although co-processing has become a widely accepted practice all over the world, the research results published about synergies still do not have agreeable conclusions. Some research results showed that the synergistic effect is dependent on the extent of contact between fuel particles, and the synergy is more likely to happen when pyrolysis is carried out on a fixed-bed reactor than on a fluidized-bed or drop tube reactor [11,12], while other scholars [13] revealed the lack of synergistic effects on pyrolytic products yields as well 1 S. ZHU et al.: CHARACTERISTICS AND SYNERGISTIC EFFECTS OF… as gas composition from pyrolysis of coal/sawdust blends under both low heating rate in a fixed-bed reactor and high heating rate in a drop-tube reactor. Kastanaki et al. also confirmed that the co-pyrolysis of coal/biomass blends did not have substantial interaction in the solid phase [14]. Masnadi et al. performed switch-grass and coal co-pyrolysis in a thermogravimetric analysis and no significant interaction between coal and biomass were observed during co-pyrolysis [4]. On the contrary, some researchers [15-18] found an obvious synergy on the overall weight loss yield and characteristics of pyrolysis products during the co-pyrolysis of coal and other feedstock, including oil residue and biomass. Krerkkaiwan et al. researched co-pyrolysis of coal and biomass using a drop tube fixed reactor. The results showed that the biomass has a significant influence not only on the magnitude of the synergetic effect during the co-pyrolysis but also on the reactivity of the resultant chars [19]. However, the authors did not consider the interactions between the volatile and coal char, so the results they got has important dependency on the volatile. Previous study shows that the volatile-char interactions can affect almost every aspect of low-rank fuel gasification and pyrolysis [20]. Therefore, the synergies in co-pyrolysis of biomass and coal are still not clear. Further and more detailed researches are needed. Considering that the type of blending fuels was a major factor that triggers the synergy [21], a typical Chinese coal and biomass, which have striking difference in volatile content and ash content, were selected as the experimental sample. In this study, the pyrolysis characteristics and the char yields of the coal, sawdust and their mixtures were investigated using TG analyzer, and low temperature aluminum retort distillation test were carried out to compare the tar yields of coal, sawdust and their mixture. The synergy during co-pyrolysis was examined by comparing the theoretical and experimental data. To further understand the conditions that lead to synergy, demineralized sawdust (DASA) and devolatilized sawdust (DVSA) were prepared, and then added to coal to appraisal whether one of them in biomass is the main contributor to the synergy. EXPERIMENTAL Preparation of raw materials Chinese bituminous coal from Yining (YN) and poplar sawdust (SA) were used in this study. The YN was drawn and manually crushed using a pestle and a mortar, while the SA was crushed using a grinder. 2 Chem. Ind. Chem. Eng. Q. 22 (1) 1−8 (2016) Crushed samples were sieved and only particles between the sizes of 0.074–0.154 mm were used to run the TG and aluminum retort carbonization test. The specific particle diameter is consistent with those produced in practical milling systems used in pulverization units [22]. In our previous study [23], the particle size less than 0.125 mm was found to be able to eliminate the effects of mass and heat transfer limitations. The mixture of YN and SA (SA-YN) was made by mechanically blending them together in different proportions, aSA-bYN means that the mass ratio of SA to YN is a:b. The addition of biomass to coal has important influence on the pyrolysis product distribution. In order to comprehensively investigate copyrolysis characteristics, five blending rates ranging from pure coal to pure biomass in 20 wt.% increments were chosen in this study. Moreover, the blending rates are similar to those typically used in industryscale co-firing trails. The ultimate and proximate analyses of the samples were shown in Table 1. The ultimate analysis of the coal was determined following the Chinese National Standard GB/T 476-2008 for carbon, hydrogen and nitrogen, and GB/T 214-2007 for sulfur [24,25]. The proximate analysis of the coal was measured following the Chinese National Standard GB/T 212-2008 for moisture (Mad), ash (Ad) and volatile matter (Vdaf) [26]. It can be seen that the SA had high content of volatile and low content of ash, while YN had a relatively low content of volatile and high content of ash. Table 1. Ultimate and proximate analysis data of YN and SA (wt.%); ad: air-dried basis; daf: dry and ash-free basis; *: by difference Sample Ultimate analysis Cad Had O*ad Nad Proximate analysis St,ad Mad Vdaf Ad YN 58.99 3.28 18.37 0.96 0.36 12.61 33.80 6.21 SA 49.01 2.69 40.50 0.72 0.01 0.41 6.69 82.94 Preparation of DASA and DVSA First, the pretreatment of raw sawdust in acid was conducted by the ratio of 1 g:20 mL of HCl solution (37 wt.% HCl was diluted in 1:1 proportion), soaking for 24 h at room temperature and stirring continuously using a magnetic stirrer. Then, the HCl-washed sample was blended with hydrofluoric acid (HF) at a ratio of 1 g to 12.5 mL to prepare the demineralized sawdust sample, soaking for 24 h at room temperature and stirring continuously using a magnetic stirrer. Finally, the demineralized sawdust sample was obtained after oven drying to constant weight at 60 °C for 14 h. As to the preparation of DVSA, the S. ZHU et al.: CHARACTERISTICS AND SYNERGISTIC EFFECTS OF… sawdust was first pyrolyzed in a high-temperature silicon carbide furnace from room temperature to 800 °C with a heating rate of 10 °C/min in argon atmosphere and had a residence time of 20 min, then the sample was cooled to room temperature in Ar atmosphere, the residual solid was the DVSA. Pyrolysis experiments in TG The TG experiments were performed in the thermogravimetric analyzer (NETZSCH STA449F3), the maximum temperature error of the measurement is ±1 °C and the mass precision is 1 μg. Approximately 10 mg initial sample was fed into the Al2O3 plate and heated from room temperature to 1000 °C at a constant heating rate of 10 °C/min under argon atmosphere at a constant flow rate of 50 mL/min. At least 3 repetitions were conducted to ensure the reproducibility of the experiments and accuracy of the data. The maximum mass loss standard deviation was 3%. Test of low temperature distillation by aluminum retort To obtain the tar yields of coal, sawdust and their mixture during pyrolysis, tests of low temperature distillation by aluminum retort were performed according to China Standard GB/T 480-2010, “Test of low temperature distillation of coal by aluminum retort” [27]. First, 20 g coal sample was packed in aluminum retort. Then, in the temperature range of 260–510 °C, it was heated with a heating rate of 5 °C/min and it was held at the final temperature for 20 min. After the distillation experiment, the tar, pyrolysis water, char and gas yields were measured. All the experiments were replicated at least three times to make sure that the results were reproducible; the maximum standard deviation in tar yield was 5%. Chem. Ind. Chem. Eng. Q. 22 (1) 1−8 (2016) Data processing methods Theoretical calculation of co-pyrolysis yields of tar and char In order to investigate whether interactions existed between the coal and sawdust, the theoretical and experimental value of pyrolysis products were compared. The theoretical value was given by the following equation: MT = xMSA + (1-x)MYN (1) where MSA is the tar or char yield during single sawdust pyrolysis or aluminum retort carbonization test, MYN is the tar or char yield during single coal pyrolysis or aluminum retort carbonization test, MT is the theoretical value of char yield during co-pyrolysis or tar yield during aluminum retort carbonization test, and x is the mass fraction of sawdust in solid feed mixture. RESULTS AND DISCUSSION TG analysis of the pyrolysis of coal, sawdust and coal/sawdust blends Figure 1 shows the weight and the derivative weight change profiles for coal and sawdust as a function of temperature. TG/DTG curves of them at a heating rate of 10 °C/min suggest that both the thermal decomposition and mass loss of poplar sawdust and Yining coal have three steps during pyrolysis, but the temperature of the maximum degradation rate (Tmax) of each step are rather different. The first stage of YN pyrolysis occurs between 33 and 250 °C, while sawdust pyrolysis occurs between 33 and 185 °C. A minor mass decay was observed, this is due to the release of H2O and some 100 0 80 -2 TG / % SA 40 -4 YN 20 DTG / %/min 60 -6 0 0 200 400 600 800 -8 1000 Temperature / oC Figure 1. TG/DTG curves of SA and YN at a heating rate of 10 °C/min. 3 S. ZHU et al.: CHARACTERISTICS AND SYNERGISTIC EFFECTS OF… from 0.96 to 7.22%/min with increasing SA content in the SA-YN, which means the SA-YN has higher pyrolysis reactivity and the addition of SA could promote the overall evolution rate of volatile matters. Char and tar yields Figure 3 shows the theoretical and experimental value of char yields of five different mixtures with the YN:SA rates spanning from 9:1 to 1:9 in 20 wt.% increments during co-pyrolysis. With increasing SA addition from 10 to 90%, the experimental and predicted char yields all had a remarkable decrease, the former was from 32.58 to 5.73% and the latter was from 45.87 to 8.96%, which was caused by the increase in the absolute amount of high volatile SA (82.49, daf). Moreover, it is obvious that the experimental char yield of any kind YN-SA is always lower than the predicted value, the maximum and minimum differences are 13.28 and 3.23%, respectively, and the addition of SA have inhibiting effect on pyrolysis Maximum weight loss rate Tmax 6 420 400 5 380 Tmax, oC Maximum weight loss rate, %/min absorbing gases such as CH4, CO2 and N2. The greatest fraction of mass loss of sawdust occurs in the second step, in the temperature range of 250445 °C, which is attributed to the drastic thermal decomposition of SA, the maximum devolatilization rate is 7.22%/min and the Tmax is 378 °C. The third stage covers a wide temperature range from 445 °C to the final temperature and a slight weight loss was observed, which was associated with the degradation of heavier chemical structures in the SA matrix [28]. Figure 1 shows that the profile trend of YN is similar to that of SA, but different in some pyrolysis characteristic parameters, especially the Tmax and the maximum mass loss rate. A more detailed analysis of the parameters (see Figure 2) suggests that the Tmax and the maximum mass loss rates of SA-YN with different ratio, YN and SA varied from each other. The Tmax for SA-YN was lower than either of the two pure samples and the maximum weight loss rate shifted 7 Chem. Ind. Chem. Eng. Q. 22 (1) 1−8 (2016) 4 3 360 2 340 1 320 YN 9:1 7:3 5:5 3:7 SA Proportion of coal to poplar sawdust in the blending sample Figure 2. Pyrolysis characteristic parameters of different coal/sawdust blending. 100 Difference Theoretical value of char yield Experimental value of char yield Char yields(%) 80 60 40 20 0 9:1 7:3 5:5 3:7 1:9 Proportion of coal to poplar sawdust in the blending sample Figure 3. Theoretical and experimental value for char yields of different coal/sawdust blending during co-pyrolysis. 4 S. ZHU et al.: CHARACTERISTICS AND SYNERGISTIC EFFECTS OF… char yield and promotion effect on gas product formation. As is known, the gas yield was the summation of un-condensed light gases and condensed volatile matter (coal tar) at room temperature and pressure. Therefore, to have a more detailed analysis of SA addition on tar yields, low temperature aluminum retort distillation tests of YN, SA, and YN-SA were conducted respectively. Figure 4 shows 7YN-3SA and 9YN-1SA as examples for interpretation of the difference of experimental and predicted values of tar yields during distillation test. The tar yield of SA alone pyrolysis is much higher than that of YN pyrolysis, the experimental values of tar during 7YN-3SA and 9YN-1SA distillation are 6.41 and 3.26%, and 0.43 and 1.38% lower than the predicted values, which means that SA has an inhibiting effect on tar yields during copyrolysis, i.e., co-pyrolysis of SA and YN could have synergistic effects on gas product yields. Chem. Ind. Chem. Eng. Q. 22 (1) 1−8 (2016) Synergy analysis Pyrolysis behavior of SA, DASA and DVSA Considering co-pyrolysis of SA and YN could have synergistic effects on gas product yields, the contribution of ash and volatile in the SA on synergistic effect was investigated. The pyrolysis behavior of DASA and DVSA were analyzed first. Figure 5 shows the comparison of the TG and DTG curves of SA, DASA and DVSA. It suggests that the DVSA did not have an obvious mass loss until the pyrolysis temperature surpassed 750 °C. The final mass decay accounts for 39% of DVSA, far below the final value of SA (92%). It reveals the differences of pyrolysis behavior of SA and DASA, the onset and final volatile evolution temperature of DASA was shifted to the higher and lower temperature, respectively, the volatile release rate of DASA was much higher than that of SA, and the release time of volatile was shortened. 14 Tar yields / % 12 10 8 6 4 2 0 0 YN 2 SA M 7:3 M 9:1 4 T 7:3 6 T9:1 Figure 4. Theoretical and experimental value for tar yields of different samples during low temperature aluminum retort distillation (where T7:3 and M7:3 are the experimental and theoretical value of 7YN-3SA). 100 TG/% 80 60 DASATG 40 DVSATG SATG 20 0 0 DTG/%/min -4 DASADTG SADTG -8 DVSADTG -12 -16 0 200 400 600 800 1000 o Temperature/ C Figure 5. TG and DTG profiles comparisons between SA, DVSA and DASA. 5 S. ZHU et al.: CHARACTERISTICS AND SYNERGISTIC EFFECTS OF… It may suggest that the DASA has a larger surface area and more active sites, which could accelerate the releasing of volatile. In addition, the alkali/alkaline earth metals in the SA have important influence on the pyrolysis reactivity, which could make the pyrolysis reaction happen at lower temperature [28,29]. As shown in Figure 5, the maximum volatile release rate of DASA was 16%/min, while the max volatile release rate of SA was 7%/min. Co-pyrolysis behavior of YN, DASA and DVSA Figure 6 gives the comparison of co-pyrolysis behaviors of YN, DASA and DVSA. The whole pyrolysis process could be divided into three stages, the first stage occurred between 26 and 200 °C, a faster H2O release rate and larger amount of 3SA-7YN was observed than that of 3DASA-7YN due to that DASA was dried for 24 h after it was prepared. The second stage was in the temperature range of 200–400 °C and the strongest weight loss observed was attributed to the active thermal decomposition of the raw feeds, the maximum mass loss rate of 3DASA-7YN was 2.68%/min higher than that of 3SA-7YN. It may be that the ash in the SA had obvious effects on the synergy. The third stage appeared between 400–1000 °C. As it was also shown in Figure 1, the temperature range of 400–600 °C was the most drastic mass loss interval of YN, but the DTG curve of 3SA-7YN in this temperature range only had slight difference compared with that of 3DASA-7YN. Compared to the co-pyrolysis curves of 3SA7YN and 3DVSA-7YN, it is clear that the pyrolysis behaviors of them are quite different. The DTG profile of 3DVSA-7YN had a remarkable mass loss peak when the pyrolysis temperature was higher than 680 Chem. Ind. Chem. Eng. Q. 22 (1) 1−8 (2016) °C, which, however, was not observed in the DTG curve of 3SA-7YN. Table 2 illustrates the experimental and predicted values of the final mass loss fraction of 3SA-7YN, 3DVSA-7YN and 3DASA-7YN at terminal pyrolysis temperature of 1000 °C. Since the experimental values are higher than the respective theoretical ones, it may be concluded that the synergy effect between YN and SA on gas product yields was observed. Compared with 3DVSA-7YN and 3DASA-7YN, it is obvious that the ash in the SA could widen the difference between experimental and theoretical value, suggesting that the ash in the SA was the main contributor to the synergy between SA and YN. The demineralized coal and coal-containing fuel blends along with the demineralized and devolatilized biomass components will be tested in the future. Table 2. Experimental and predicted values (%) of the final mass loss fraction of 3SA-7YN, 3DVSA-7YN and 3DASA-7YN under terminal pyrolysis temperature of 1000 °C Value 3SA-7YN 3DVSA-7YN 3DASA-7YN Experimental 41.2 56.8 40.1 Predicted 26.1 40.4 33.8 CONCLUSIONS In this research, experiments were conducted by TGA and low temperature aluminum retort distillation to study the changes in pyrolysis characteristic parameters and possible synergistic effects of coal– biomass blending during pyrolysis. The following conclusions can be drawn from the results: The degradation of poplar sawdust and Yining coal had three stages in pyrolysis temperature ranging from room temperature to 1000 °C and the tem- 100 TG/% 80 60 3SA-7YNTG 3DASA-7YNTG 40 3DVSA-7YNTG 20 0 DTG/%/min 0 -2 3SA-7YNDTG 3DASA-7YNDTG -4 3DVSA-7YNDTG -6 0 200 400 600 800 1000 o Temperature/ C Figure 6. Co-pyrolysis behavior of 3SA-7YN, 3DASA-7YN and 3DVSA-7YN. 6 S. ZHU et al.: CHARACTERISTICS AND SYNERGISTIC EFFECTS OF… peratures of the maximum weight loss rate of each stage were rather different. The Tmax for SA-YN was lower than either of the two pure samples and the maximum weight loss rate shifted from 0.96 to 7.22%/min with the increase of the SA content in the SA-YN. It indicated that the SA-YN had higher pyrolysis reactivity and the addition of SA could promote the overall evolution rate of the volatile matters. The addition of SA had inhibiting effect on char and tar yields during pyrolysis and supportive effect on gas product formation. Co-pyrolysis of SA and YN had synergistic effects on gas product yields. The volatile matter during SA pyrolysis only had slight influence on synergy, while the ash in the SA was the critical factor that led to the synergistic effects on gas product yields. 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ZHU et al.: CHARACTERISTICS AND SYNERGISTIC EFFECTS OF… SHENGHUA ZHU YONGHUI BAI LUNJING YAN QIAOLING HAO FAN LI State Key Laboratory Breeding Base of Coal Science and Technology Co-founded by Shanxi Province and the Ministry of Science and Technology, Taiyuan University of Technology, Taiyuan, China NAUČNI RAD Chem. Ind. Chem. Eng. Q. 22 (1) 1−8 (2016) KARAKTERISTIKE I SINERGIJSKI EFEKAT PIROLIZE UGLJA YINING I PILJEVINE TOPOLE Procesiranje biomase i uglja predstavlja način za poboljšanje korišćenja energije na osnovu integrisanih i interaktivnih efekata između različitih vrsta ugljeničnih goriva. Cilj ovog istraživanja je analiza pirolitičkih karakteristika uglja iz Jininga (Yining, Kina) i piljevine topole, kao i da se utvrdi postojanje sinergiijskog efekta u prinosima pirolitičkih proizvoda. Ugalj je pomešan sa piljevinom u masenim odnosima 9:1, 7:3, 5:5, 3:7 i 1:9. Promena prinosa čađi, maksimalna brzina gubitka mase i odgovarajuća temperatura različitih mešavina ugalj/piljevina tokom pirolize su upoređeni termogravimetrijskom analizom (TG). Destilacijom u aluminijumskoj retorti na niskoj temperaturi određen isu ukupni prinosi katrana za vreme pirolize uglja, piljevine i njihovih mešavina. Poređenjem eksperimentalnih i teorijskih vrednosti prinosa čađi iz TG analize i prinosa katrana iz ispitivanja karbonizacije uočeno je da ko-piroliza mešavine ugalj/piljevina proizvodi manje čađi i katrana od ukupnih količina proizvedeni u odvojenim procesima pirolize uglja i piljevine. Različita distribucija proizvoda ukazuje na sinergistički efekat u prinosu gasovitih proizvoda. Piroliza demineralizovane i devolatilizovane piljevine sa ugljem pokazuje da pepeo iz piljevine daje najveći doprinos sinergističkom efektu. Ključne reči: Piroliza, piljevina topole, karbonizacija u aluminjimuskoj retorti, sinergija. 8 Available on line at Association of the Chemical Engineers of Serbia AChE www.ache.org.rs/CICEQ Chemical Industry & Chemical Engineering Quarterly Chem. Ind. Chem. Eng. Q. 22 (1) 9−15 (2016) JASMINA GUBIĆ1 JELENA TOMIĆ1 ALEKSANDRA TORBICA1 MIRELA ILIČIĆ2 TATJANA TASIĆ1 LJUBIŠA ŠARIĆ1 SANJA POPOVIĆ1 1 Institute of Food Technology, University of Novi Sad, Novi Sad, Serbia 2 Faculty of Technology, University of Novi Sad, Novi Sad, Serbia SCIENTIFIC PAPER UDC 637.12’618(497):543.545.2 DOI 10.2298/CICEQ150105013G CI&CEQ CHARACTERIZATION OF SEVERAL MILK PROTEINS IN DOMESTIC BALKAN DONKEY BREED DURING LACTATION, USING LAB-ON-A-CHIP CAPILLARY ELECTROPHORESIS Article Highlights th • Protein profile of domestic Balkan donkey milk during lactation period to the 280 day were determined • Donkey’s milk protein profiles were determined by applying lab-on-a-chip electrophoresis • Domestic Balkan donkey milk was found to be low in casein content • Lysozyme, lactoferrin and immunoglobulins were identified • Balkan donkey milk represents a rich source of high nutritive components Abstract Domestic Balkan donkey (Equus asinus asinus) is a native donkey breed, primarily found in the northern and eastern regions of Serbia. The objective of the study was to analyze proteins of Domestic Balkan donkey milk during the lactation period (from the 45th to the 280th day) by applying lab-on-a-chip electrophoresis. The chip-based separations were performed on the Agilent 2100 Bioanalyzer in combination with the Protein 80 Plus lab chip kit. The protein content of domestic Balkan donkey milk during the lactation period of 280 days ranged from 1.40 to 1.92% and the content of αs1-casein, αs2-casein, β-casein, α-, β-lactoglobulin, lysozyme, lactoferrin and serum albumin was relatively quantified. Lysozyme (1040-2970 mg/L), α-lactalbumin 12 kDa (1990-2730 mg/L) and α-lactalbumin 17.7 kDa (2240-3090 mg/L) were found to be the proteins with the highest relative concentrations. Keywords: donkey milk, protein, lab-on-a-chip electrophoresis. Over the past decades donkey milk has been less studied compared to ruminant milk, but in the last few years, interest in donkey milk has considerably increased among the scientific community of Europe. Donkey milk has been successfully used in clinical studies, with children who suffer from cow’s milk protein allergy (CMPA), and has good palatability [1,2]. Its composition is more similar to human milk than ruminant milk, however. It has a relatively low lipid content and adequate lipid integration is needed for toddlers’ diet [3,4]. Other types of milk, such as mare’s [5], have been proposed as a substitute for Correspondence: Ja. Gubić, Institute of Food Technology, University of Novi Sad, Bulevar cara Lazara 1, 21000 Novi Sad, Serbia. E-mail: jasmina.gubic@fins.uns.ac.rs Paper received: 5 January, 2015 Paper revised: 29 April, 2015 Paper accepted: 8 May, 2015 human milk, but scarce information is available regarding the use of donkey milk for this purpose. Domestic Balkan donkey is a native breed, primarily found in the northern and eastern regions of Serbia, with about 1000 subjects reared [6,7]. The population of this breed is nowadays reduced to a very low number. Therefore, it is very important to preserve the breed and to increase the number of animals, in order to achieve milk production in significant amounts. FAO – the organization of food and agriculture – has initiated and recommended activities for the mentioned breed protection. Specific milk characteristics and parameters are the effect of the keeping conditions and pasture feeding, climate, as well as the race [8]. Donkey milk has been traditionally used in Serbia as a natural remedy for the treatment of asthma and bronchitis. Considering this fact, there has recently been a growing demand for donkey milk in the Serbian market [9]. 9 J. GUBIĆ et al.: CHARACTERIZATION OF SEVERAL MILK PROTEINS… Donkey milk has a lower protein content than other ruminant milk ranging from 13 to 28 g/L, while proteomic profile is quite similar to human milk [10,11]. Protein content varies considerably among species and is influenced by breed, stage of lactation, feeding, climate, parity, season, and udder health status [12]. The content of casein in donkey milk ranges from 6.4 to 10.3 g/kg of total protein content. Generally, casein present in different types of milk consists of four genetic fractions: αs1-, αs2-, β- and k-casein [13]. Guo et al. [14] reported that the content of whey proteins in donkey milk is within the range from 4.9 to 8.0 g/kg of total protein. According to the research by Cunsolo et al. [15], considerable differences can exist between the primary structure of donkey and bovine αs1-casein, which could be related to the previously demonstrated low allergenic properties of donkey milk and could contribute to its better human tolerance. The basic whey proteins in donkey milk are β-lactoglobulin, α-lactalbumin, immunoglobulins, blood serum albumins, lactoferrin and lysozyme [16,17]. The β-lactoglobulin is present in donkey milk as a monomer whereas this protein is a dimer in ruminant milk [11] and has better digestibility in newborns due to higher digestibility and absorption of soluble monomer proteins [18,19]. Furthermore, there is a possibility of utilization of low-cost protein in formulations for infant feeding [20]. Donkey milk contains several antimicrobial components, including lactoferrin, lactoperoxidase and lysozyme [14,21]. Šarić et al. [9] investigated the antibacterial properties and the protein profile of raw milk from the native Serbian donkey breed with an emphasis on the lysozymes and lactoferrin. The average lysozyme content of 1.0 mg/mL determined is considerably higher compared to the milk of other species [13,16]. SDS-PAGE (sodium dodecyl sulphate polyacrylamide gel) electrophoresis analysis is a commonly used method for protein separation, which is also widely applied to donkey milk analysis. Salimei et al. [13] and Guo et al. [14] have, using this method, concluded that whey proteins such as β-lactoglobulin, lysozyme and α-lactalbumin are the most abundant in donkey milk originating from Italian breeds, and lactoferrin, serum albumin and immunoglobulins were found to be minor protein components. Criscione et al. [22] used mass spectrometry and high performance liquid chromatography to characterize IEF patterns. The authors reported the absence of αs1-casein in some individual cases and the presence of αs2-casein in all donkey milk samples. 10 Chem. Ind. Chem. Eng. Q. 22 (1) 9−15 (2016) Polidori et al. [11] analyzed donkey milk proteins using two-dimensional electrophoresis (2-DE) followed by N-terminal analysis and found and determined β-caseins with molecular weights ranging from 33.10 to 33.74 kDa and from 31.15 to 32.15 kDa and lower. Since literature data on use of donkey milk in human nutrition and its changes during lactation is very limited, the main objective of this study was to characterize several of the proteins of domestic Balkan donkey milk during the lactation period from the 45th to the 280th day. Moreover, the aim of this study was to evaluate the nutritional value of domestic Balkan donkey milk from the protein point of view, by applying lab-on-a-chip electrophoresis. Deep knowledge of the protein composition and variability could be beneficial for a more appropriate use in infant feeding. MATERIALS AND METHODS Sample collection The research on domestic Balkan donkeys, a native breed, was conducted in the Special Nature Reserve Zasavica [23]. Zasavica is located in the north-west region of Serbia and is currently home for a herd of more than 150 female donkeys. Donkey milk samples were individually collected from 10 female domestic Balkan donkeys, after parturition from spring (April) to winter (January) season, on the 45th, 60th, 80th, 100th, 125th, 150th, 170th, 200th, 230th and 280th day of lactation. From June to early October the animals in the grassland of Zasavica reservation were reared outdoors on pasture, where they had the possibility to consume meadow plants. During other months of the year, donkeys were reared indoors, in a covered area, and they were fed with corn and corn stalks, while hay was available ad libitum. From April to June the way of feeding changed substantially. Corn and fresh water clover were given to the animals before milking. Donkeys had access to water ad libitum. The animals were manually milked twice a day, at 7:00 am and 3:00 pm, 120 min after separating foals from their mothers. During milking, foals remained in visual and tactile contact with their mothers. Milk was completely removed from both udders. Each individual raw milk sample was collected into glass flasks and stored in an ice box at 4 °C. For each day of sampling, which is 10 days in total, 10 individual samples were collected twice (morning and evening) for a total of 200 samples. J. GUBIĆ et al.: CHARACTERIZATION OF SEVERAL MILK PROTEINS… Protein determination Chem. Ind. Chem. Eng. Q. 22 (1) 9−15 (2016) RESULTS AND DISCUSSION Total protein concentration was measured through nitrogen determination. Total nitrogen was determined by the application of ISO standard method [24]. A nitrogen conversion factor of 6.38 was used for the calculation of the protein content of milk samples. Electrophoretic analysis The proteins of donkey milk were separated and quantitated using lab-on-a-chip electrophoresis technique based on their molecular mass in comparison with the marker protein ladder [25]. Sample preparation was carried out according to Tidona et al. [26] with minor modifications. Milk samples were diluted in 1:1.5 (V/V) ratio, sample: buffer (0.125 M Tris-HCl, 4% SDS, 2% glycerol, 2% β-mercaptoethanol, pH 6.8) and heated at 100 °C for 5 min. The chip-based separations were performed using Agilent 2100 bioanalyzer (Agilent Technologies, Santa Clara, CA, USA) in combination with the Protein 80 Plus lab chip kit and the dedicated Protein 80 software assay on 2100 expert software. Chips were prepared according to the protocol provided by the Protein 80 lab chip kit. The Protein 80 ladder (1.6, 3.5, 6.5, 15, 28, 46, 63 and 95 kDa) and the internal markers were used as reference for sizing and relative quantification. According to Živančev et al. [27] values of LOD and LOQ for the proteins in the analyzed solutions were 5.4 and 8.4 ng/μL, respectively. Statistical analysis The one way ANOVA analysis and Duncan post hoc test were performed to assess data differences between various samples using Statistical software version 12 (STAT SOFT Inc., 2013, USA). The data means were considered to be significantly different at P < 0.05. Protein content of domestic Balkan donkey milk during the lactation period of 280 days is shown in Table 1. The protein content reached the highest value of 1.92% on the 60th day of the lactation stage. Afterwards, the concentration decreased until the end of the lactation period when it reached the value of 1.40%. The protein content in Domestic Balkan donkey milk is in agreement with others studies on Italian donkey breeds – Martina Franca, Ragusana and Amiata [4,13,28,29]. Figure 1a and b shows the molecular weight (in kDa) of the bands present at the beginning and at the end of the lactation period. The proteins were determined based on the literature data [11,21,22] by comparison of molecular weights and relative concentrations. The bands of basic casein proteins that have been discovered have molecular weights ∼30.3 kDa (αs1-casein) and ∼26.7–27.0 kDa (αs2-casein). The findings showed two bands with 16-16.7 and 34.5–35.0 kDa for β-casein in donkey milk. The results of electrophoresis showed a pattern similar to that reported in the literature [11,13,16]. The chip-based separation profiles of soluble proteins of donkey milk quantified α-lactalbumin with approximate molecular weight of 12 and 17.7 kDa. β-lactoglobulin and serum albumin molecular weights in whey protein fraction were around 19.6 and 66.0 kDa, respectively. Major antimicrobial proteins determined in donkey milk were immunoglobulin (Mr 37-38 kDa), lactoferrin (Mr 74-78 kDa) and lysozyme (Mr 14.7-15.0 kDa). The results obtained in this research are similar to those obtained by other authors [11,21,22]. The concentrations of several protein fractions in Balkan donkey milk during the lactation period are shown in Figure 2. The trend for αs1-casein content Table 1. Protein content of domestic Balkan donkey milk (total n = 200) during the lactation period of 280 days; results are given as mean ± standard deviation;*p < 0.05; ns - not significant Time of milk sampling, day Protein (nitrogen×6.38), % Significance level 45 1.83 ± 0.12 * 60 1.92 ± 0.20 * 80 1.73 ± 0.23 * 100 1.70 ± 0.28 * 125 1.64 ± 0.30 * 150 1.62 ± 0.19 * 170 1.49 ± 0.28 ns 200 1.50 ± 0.19 ns 230 1.45 ± 0.19 * 280 1.40 ± 0.20 * 11 J. GUBIĆ et al.: CHARACTERIZATION OF SEVERAL MILK PROTEINS… CI&CEQ 22 (1) 9−15 (2016) (a) (b) th Figure 1. a) Gel-like image of samples taken on the 45 and the 280th day; b) electropherogram of samples taken from the 45th until the280th day of the lactation stage. showed a high variability and ranged from 1160 to 730 mg/L, whereas αs2-casein content ranged from 110 to 74 mg/L. The content of αs1-casein began to decline significantly from the 60th day until the 150th day, compared to αs2-casein whose content started decreasing after the 150th day and continued until the end of the lactation period. Trend variations for αs1casein content throughout the lactation period were related to the change in total protein content. During the lactation period, the values of αs2-casein did not change significantly until the 150th day, and followed the same pattern from the 170th to the 230th day 12 (P < 0.05). However, the β-casein content (P < 0.05) decreased significantly (84 to 13 mg/L) from the beginning to the end of the lactation period. The content of α-lactalbumin was 2730 mg/L in the early and 2240 mg/L in the late lactation stage, which is very similar to the content found in human milk (2200 mg/L) [16]. The α-lactalbumin content showed a significant increase four months after parturition and reached values of 2450 to 3090 mg/L, after which the content decreased and remained quite stable until the end of the lactation period. The concentration of β-lactoglobulin varied from 139 to 263 J. GUBIĆ et al.: CHARACTERIZATION OF SEVERAL MILK PROTEINS… CI&CEQ 22 (1) 9−15 (2016) Figure 2. Trend of the concentration (mg/L) of several proteins fractions in Balkan donkey milk during the lactation period. mg/L. β-Lactoglobulin concentration decreased significantly (P < 0.05) after the 60th day and also after the 150th day of lactation. Though β-lactoglobulin is generally resistant to gastro-intestinal enzymes, in a simulated in vitro digestion of donkey milk 70% of the β-lactoglobulin was digested, which is the amount twice as high compared to the bovine counterpart [30,31]. Also, equine β-lactoglobulin was digested significantly faster compared to bovine and caprine β-lactoglobulin [31]. The serum albumin content (113-238 mg/L) showed a tendency towards stabilization during the mid-lactation period. High concentrations of lysozyme were quantified in Balkan donkey milk, in which it ranged from 1040 to 2970 mg/L. The lysozyme content was stable during different stages of lactation and significantly decreased (P < 0.05) after the 150th day. Donkey milk is known to be a rich source of lysozyme (1000 mg/L) [16] and has a significantly higher content of lysozyme than human milk (400 mg/L) and bovine milk (130 mg/L), while being quite similar to that in equine milk (400-1000 mg/L) [29,32]. Lysozyme inhibits the growth of a large number of gram positive bacteria. Šarić et al. [9] investigated the antibacterial properties and the protein profile of raw milk from the native donkey Serbian breed with an emphasis on the lysozyme and lactoferrin contents. Lysozyme and α-lactalbumin showed high resistance to human gastric and duodenal juices as already reported for raw equine, cow and human milk [30,31]. In our study, -lactalbumin was the dominant protein fraction of donkey milk, while immunoglobulin and lactoferrin were minor components. The lactoferrin content (87– –13 mg/L) decreased significantly from the beginning to the end of the lactation period, and showed similar trend as β-casein. The immunoglobulin had an increasing trend, reaching the climax on the 100th day (88.3 mg/L) and decreasing thereafter. The high content of protective antimicrobial compounds in donkey milk taken from the early and middle lactation period suggested its beneficial impact on gut health and immune defense system. 13 J. GUBIĆ et al.: CHARACTERIZATION OF SEVERAL MILK PROTEINS… Chem. Ind. Chem. Eng. Q. 22 (1) 9−15 (2016) CONCLUSIONS [9] Lj. Šarić, B. Šarić, A. Mandić, A. Torbica, J. Tomić, D. Cvetković, Đ. Okanović, Int. Dairy J. 25 (2012) 142-146 Lab-on-a-chip capillary electrophoresis could be applied to the relative quantification of several milk proteins. αs1-casein, αs2-casein, β-casein, α-lactalbumin, β-lactoglobulin, lysozyme, lactoferrin and serum albumin were relatively quantified, with the highest relative concentration of lysozyme and α-lactalbumin. The concentration of all determined proteins decreased during the lactation period. The minimum significant changes were observed for αs2-casein, lysozyme and β-lactoglobulin. It can be concluded that Balkan donkey milk represents a source of antibacterical proteins such as lysozyme and highly digestible proteins such as whey protein, α-lactalbumin and lactoferrin. [10] E. D’Auria, C. Agostoni, M. Giovannini, E. Riva, R. Zetterström, R. Fortin, G. F. Greppi, L. Bonizzi, P. Roncada, Acta. Paediatr. 94 (2005) 1708–1713 [11] P. Polidori, S. Vincenzetti, in Milk Protein, Ch. 8, InTech Rijeka, 2012, p.p. 215-232 [12] Y. Park, M. Juarez, M. Ramos, G. 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Q. 22 (1) 9−15 (2016) KARAKTERIZACIJA NEKOLIKO PROTEINA MLEKA RASE DOMAĆI BALKANSKI MAGARAC TOKOM LAKTACIJE, UPOTREBOM LAB-ON-A-CHIP KAPILARNE ELEKTROFOREZE Domaći balkanski magarac (Equus asinus asinus) je autohtona rasa, primarno nađena u severnom i istočnom regionu Srbije. Cilj rada je bio da se analiziraju proteini mleka domaćeg balkanskog magarca tokom laktacije primenom Lab-on-a-Chip elektroforeze. Razdvajanje na čipu izvršeno je korišćenjem uređaja Agilent 2100 bioanalyzer u kombinaciji sa Protein 80 Plus Lab Chip kitom. Sadržaj proteina mleka domaćeg balkanskog magarca tokom laktacionog perioda od 280. dana kretao se od 1,40 do 1,92% i sadržaj αs1-kazeina, αs2-kazeina, β-kazeina, α-laktalbumina, β-laktoglobulina, lizozima, laktoferina i serum albumina je relativno kvantifikovan. Lizozim (1040-2970 mg/L), α-laktalbumin 12 kDa (1990-2730 mg/L) i α-laktalbumin 17,7 kDa (2240-3090 mg/L) su proteini koji su nađeni u relativno visokim koncentracijama. Ključne reči: magareće mleko, protein, lab-on-a-chip elektroforeza. 15 Available on line at Association of the Chemical Engineers of Serbia AChE www.ache.org.rs/CICEQ Chemical Industry & Chemical Engineering Quarterly Chem. Ind. Chem. Eng. Q. 22 (1) 17−26 (2016) SEYED ALI ALAVI FAZEL GOHARSHAD HOSSEYNI Department of chemical engineering, college of chemistry and chemical engineering, Mahshahr Branch, Islamic Azad University, Mahshahr, Iran SCIENTIFIC PAPER UDC 66:544.355-145.13 DOI 10.2298/CICEQ150213014F CI&CEQ EXPERIMENTAL INVESTIGATION ON PARTIAL POOL BOILING HEAT TRANSFER IN PURE LIQUIDS Article Highlights • Boiling heat transfer increases with increasing surface roughness • The bubble shape and oscillating characteristics determined the boiling heat transfer coefficient • Eotvos and Roshko numbers are related to boiling heat transfer coefficient Abstract Saturated partial pool boiling heat transfer on a horizontal rod heater was investigated experimentally. The boiling liquids included water and ethanol. The heating section was made from various materials including SS316, copper, aluminum and brass. Experiments were performed at several degrees of surface roughness ranging between 30 and 360 µm average vertical deviation. The boiling heat transfer coefficient, bubble departing diameter and frequency, and nucleation site density were measured. The data have been compared to major existing correlations. It was found that experimental data do not match with major correlations in the entire range of experiments with acceptable accuracy. The boiling heat transfer area was divided in two complementary areas, the induced forced convection area and the boiling affected area. Based on two dimensionless groups, including Eötvös and Roshko numbers, a semi-empirical model is proposed for prediction of the boiling heat transfer coefficient. It is shown that the proposed model provides improved performance in prediction of the boiling heat transfer coefficient in comparison with to existing correlations. Keywords: induced force convection, pool boiling, surface roughness, heat transfer coefficient. The nucleate pool boiling phenomenon is widely applied in many engineering processes. The heat transfer mechanism from the surface to the boiling fluid is known to be a very complicated phenomenon. Design, operation and optimization of the involved equipment require precise prediction of the boiling heat transfer coefficient. There has been a lot of research on pool boiling over the past few decades. However, the mechanism of pool boiling heat transfer is still not completely understood. This is because of the intense complexity of three interconnected heterogeneous parameters: 1) bubble departing diameter, 2) bubble departing frequency, and 3) nucleation site Correspondence: S. Ali Alavi Fazel, Department of chemical engineering, college of chemistry and chemical engineering, Mahshahr Branch, Islamic Azad University, Mahshahr, Iran. E-mail: alavifazel@gmail.com Paper received: 13 February, 2015 Paper revised: 17 April, 2015 Paper accepted: 8 May, 2015 density. In addition, the structures of boiling heat transfer surface are usually very complex and contain nucleation cavities with various shapes and sizes. This information is not completely available for every given heating surface. In this investigation, the experimental data covers a wide range of heating surfaces characteristics and liquids physical properties. Water and ethanol have been selected as the boiling liquids. The cylindrical heating surfaces were made by various metals including SS316, copper, aluminum and brass. Each surface has been sanded with several grades to provide various degrees of roughness. Note that the roughness is defined as the arithmetic average of the vertical deviations of the surface. The experimental data have been compared to major existing correlations. It is shown that the existing correlations cannot predict the boiling heat transfer coefficient with a satisfactory accuracy. Some of 17 S. ALI ALAVI FAZEL, G. HOSSEYNI: EXPERIMENTAL INVESTIGATION… the existing correlations may agree well with present experimental data in some limited degrees of roughness; however the deviations between present experimental data and existing correlations exceed 50% absolute average error (A.A.E.) in some other degrees of roughness. In this investigation, a new semiempirical model is presented to predict the boiling heat transfer coefficient with A.A.E. of 11% at full range of roughness degrees, which is much less than the A.A.E. of the existing correlations and is within maximum expected uncertainty of the experimental procedure. McNelly [1] has proposed one of the first empirical correlations for prediction of pool boiling heat transfer coefficient. In this correlation, the physical characteristics of heating surface are not involved. Rohsenow [2] has proposed an empirical correlation based on the bubble agitation mechanism. In this correlation, the boiling fluid is assumed to be single phase. In the Rohsenow [2] correlation, the Nusselt number is empirically correlated to Prandtl and Reynolds numbers. Mostinski [3] has ignored the surface effects and applied the principle of corresponding states to pool boiling heat transfer. In this correlation, the experimental data are correlated to the reduced pressure and critical pressure of boiling liquid. In this Chem. Ind. Chem. Eng. Q. 22 (1) 17−26 (2016) correlation, many tuning parameters have been implemented and additionally the physical properties of heating surface are totally ignored. Stephan and Abdelsalam [4] proposed four specific correlations applying a statistical multiple regression technique to the following liquid classes: water, organics, refrigerants and cryogenics. In these correlations, the bubble diameter is estimated by Fritz [5] correlation. Cooper [6] proposed a new reduced pressure form of pool boiling heat transfer correlation including the roughness of the boiling surface. Gorenflo [7] has proposed an empirical correlation based on the reduced pressure of the boiling liquid. In this correlation, the surface roughness is also included. Application of the Gorenflo [7] correlation requires the specific reference heat flux, qo and also reference boiling heat transfer coefficient, α0. Vinayak and Balakrishnan [8] and also Alavi Fazel, Jamialahmadi and Safekordi [9] have also a wide-ranging survey on some other correlations. In Table 1, the major existing correlations have been summarized. Modeling of problems with stochastic roughness is very difficult due to the complicated interactions between bubbles and surface. This problem has been reviewed by McHale and Garimella [10]. Also the problem of surface topography is investigated by Table 1. A summary of major existing correlations Author Correlation McNelly [1] qC l Ahfg α = 0.225 Rohsenow [2] C ΔT l hfg Mostinski [3] q A 0.7 α = bPc0.69 Stephan and Abdelsalam [4] k α = 0.23 l d Cooper [6] Gorenflo [7] α = α 0FqFPFWRFWM Boyko and Kruzhiline [25] 18 α= q /A ; Fq = (q / A ) 0 31.4P c 0.2 Mw 0.1T c0.9 k α = 0.082 l l 0.17 Pk l σ 0.31 2 /15 1.2 P P + P P c c + 0.674 ρv ρl 0.297 ( −logPr ) 0.12 − 0.443Ra R a0 Ra Nishikawa [24] qd AkT l s FWR = 0.69 ρl − 1 ρv q /A σ = C sf μ lhfg g ( ρl − ρ v ) P 1.8 Pc α = 55Pr h d 2 fg α l2 −0.55 0.33 Prl ; b = 3.75E-5 SIUnit 0.371 α 2 ρl l σ d Mw −0.55 (q / A ) 0.35 ( ρl − ρ v ) ρl −1.73 0.67 n ; n = 0.9 − 0.3Pr 0.3 ; Fp = 1.2Pr 0.27 + 2.5Pr + k l ρC l pl ; FWM = k 0 ρ 0C p0 ( 8R a ) 10 0.5 0.33 ( 0.2 1− pr 1/ 4 ; q 0 / A = 20 Pr 1 − Pr kW m2 0.8 ) p r0.23q / A ; Rp = 0.125 μm 0.9 (1− 0.99pr ) hfgq / A ρ v gTsk l ρl − ρ v 0.7 T C σP s l hfg2 ρ 2 l v 0.33 σ ; l= − g ρ ρ v) ( l 0.5 ; S. ALI ALAVI FAZEL, G. HOSSEYNI: EXPERIMENTAL INVESTIGATION… Jabardo [11] and more recently by Moita, Teodori and Moreira [12]. EXPERIMENTAL Apparatus The boiling vessel contained 35 L of test liquid. This volume was sufficient to provide pool boiling conditions. The vessel was thermally insulated to minimize the heat loss. The temperature of the system was constantly monitored and regulated to saturation point. The vessel was equipped with a rod heater, which includes four thermocouples, embedded parallel to the heating surface. The input AC electrical power to the rod heater was adjustable by a variable electrical transformer. This transformer converts the input AC voltage of 220 V into any selectable voltage between 0-240 V. The electrical input power to the rod heater is calculated by the product of electrical voltage, current and cosine of the difference between electrical voltage and current. A schematic Chem. Ind. Chem. Eng. Q. 22 (1) 17−26 (2016) of the rod heater is shown in Figure 1. The heating surface temperature was calculated by the integrated form of Fourier’s conduction equation in cylindrical coordinates. In this investigation, several rod heaters have been produced from different metals, including stainless steel 316 (SS316), copper, aluminum and brass. These metals have been selected based on: 1) ease of metalworking, 2) providing a wide range of physical properties and 3) availability of the physical properties in the literature. Because the bubble dynamics and boiling heat transfer coefficient are strongly affected by surface roughness, the surfaces of the heaters were sanded to provide various degrees of roughness. Roughness is generally quantified by the vertical deviations of a real surface from its ideal form. There are many definitions for surface roughness. In this research, the roughness Ra, is defined as the arithmetic average of the vertical deviations. Figure 2 presents a typical measured value of surface roughness. Figure 1. A schematic of the rod heater. Figure 2. A typical value of surface roughness. 19 S. ALI ALAVI FAZEL, G. HOSSEYNI: EXPERIMENTAL INVESTIGATION… In this investigation, water and ethanol have been chosen as the boiling liquids, based on: 1) the availability of the physical properties, 2) covering a wide range of physical properties and 3) non-toxic properties. Procedure Initially, the entire system was cleaned by circulating and draining the boiling liquid through the vessel, after which the test solution was introduced. The pressure of the system was kept at about 10 kPa (abs.) for an hour by a vacuum pump to degas the boiling liquid. The temperature of the system was then raised to the saturation temperature, and the electrical voltage was supplied to the rod heater up to the maximum value. After reaching steady state, the surface temperature was recorded. Then, the electrical voltage was decreased in various intervals and the recordings were repeated in each interval after steady-state accomplishment. Note that the decreasing path of heat flux was to prevent a hysteresis effect. Each experiment took about five minutes to reach a steady state at any specific condition. The wall temperature was calculated based on the recorded temperatures of the thermocouples inside the rod heater. The distance between thermocouples location and surface was 0.5 mm, which was introduced in the integrated form of the Fourier conduction law in cylindrical coordinates. In addition, the thermal conductivities of individual heating materials were introduced in the Fourier conduction law. The arithmetic averages of four thermocouples were assigned to the actual wall temperature. Note that the measured temperatures from the four measuring points were approximately correspondent within ±0.2 K. Some runs were repeated twice to ensure the reproducibility of the experiments. The physical properties of liquid and heating surface were evaluated at bulk and wall temperature, respectively. To measure the bubble diameter, photographs of the heating surface have been captured at high speed at each heat flux. The diameters of 20 bubbles were measured and the arithmetic averages were calculated. To measure the bubble departing frequency and nucleation site density, high speed video recording (1000 fps) was performed at each condition. The slow motion of the recordings was analyzed and the nucleation sites were counted and divided to project area. In addition, the bubble frequencies of the nucleation sits were counted and the arithmetic averages were calculated. A Casio EX-FH25 camera was used to record the visual information. The effective resolution of the mentioned 20 Chem. Ind. Chem. Eng. Q. 22 (1) 17−26 (2016) camera is 10.1 megapixels and the shutter speed is 1/2000 s. These values were sufficient to provide a sharp and clear image from the heating surface. A summary of surface characteristics and boiling fluid at various degrees of roughness are presented in Table 2. The measured values of the cosine of contact angle between boiling liquid and surface, which describes the wettability characteristics, are presented in Table 3. Note that the contact angle slightly varies upon variation of surface temperature; the mentioned table presents the average values. The static contact angles are measured when droplet is standing on the surface and the three-phase boundary is not moving. To measure the static contact angle, a droplet of specific liquid was placed on the particular metallic surface. Then, the image of the drop was captured using a digital camera, which was equipped with a micro-lens to magnify the subject. The experimental static contact angle was then defined by fitting the tangent line on the liquid-solid contact point. Note that because of the hysteresis effect, the static contact angle has a spectrum of contact angles ranging from advancing (maximal), to the receding (minimal) contact angle. The equilibrium contact angle is somewhere between those values, and was calculated by the Tadmor correlation [13]. Table 2. The experimented degrees of roughness at various boiling fluids and surfaces Fluid Aluminum Water 1.9×10 m 3.0×10 m 3.0×10 m -4 Brass -5 -4 -5 Stainless steel 316 -6 2.5×10 m -4 3.5×10 m -5 Copper 1.4×10 m -4 3.6×10 m -5 -5 Ethanol 3.0×10 m 3.0×10 m 3.0×10 m -4 Not tested -4 1.9×10 m -4 3.5×10 m 1.4×10 m -4 3.6×10 m Table 3. The measured values of the cosine of contact angle between boiling liquid and surface Fluid Aluminum Brass Copper Water 0.738 0.623 0.435 Stainless steel 316 0.813 Ethanol 0.902 0.901 0.922 Not tested Experimental uncertainty The resolution of the voltmeter, ammeter and the millivolt meter used in the present study was ±1 V, ±0.1 A and ±0.01 mV respectively. The uncertainty in the measurement of temperature is ±0.2 K. The propagation error of the four parallel thermocouples, which are provided to measure the surface temperature, was estimated to (4×0.2)/4 = 0.2 K, which is equal to 0.2/100 = 0.002 or 0.2% at boiling point of S. ALI ALAVI FAZEL, G. HOSSEYNI: EXPERIMENTAL INVESTIGATION… pure water. The maximum propagation error of heat flux in terms of fractional uncertainty is estimated to: q Δ ΔI A = q I Δ A best value ΔV 0.1 1 + V = 1.1 + 50 = 0.11 Note that the heat flux is calculated by the products of electrical voltage and current divided to the heating area of the rod heater. It is considered that the heating area was accurate enough to ignore from error analysis. The standard deviation of measured bubble diameters and bubble frequencies for water at 25 kW/m2 was typically equal to 0.00009 mm and 2 Hz, respectively. This means that the uncertainty for measured bubble diameter and bubble frequency would be about 0.00009/0.002 = 4.5% for a bubble with 2 mm in diameter and 2/100 = 2% for bubble frequency of 100 Hz. The nucleation sites were visually counted by the slow motion playback of the recorded videos without any significant degree of uncertainty. Experimental results The raw numerical values of heat flux versus degree of superheat are presented in Figure 3. It can be inferred that the boiling heat transfer coefficient increases with increasing the degree of superheat at any constant condition. In addition, the boiling heat transfer coefficient increases with increasing the surface roughness at any constant condition. This is because of the enhancement in nucleation site density. Chem. Ind. Chem. Eng. Q. 22 (1) 17−26 (2016) The performances of major existing correlation are presented in Figure 4. The numerical comparisons show that for water/SS316, water/brass and ethanol/SS316, the Mostinski [3] correlation has the best performance with 11, 24 and 11% absolute average error (A.A.E.), respectively, while the mentioned correlation has about 56% A.A.E. for Water/Cu and Ethanol/Cu boiling systems. For water/Cu, ethanol/ /brass, ethanol/Al and ethanol/Cu, the correlation proposed by Stephan and Abdelsalam [4] has the best agreement with experimental data with 44, 16, 14 and 34% absolute average error respectively, while the mention correlation has more than 60% A.A.E. for water/SS316 boiling system at the average experimented roughness and heat fluxes. These deviations are large because of the experimental basis of the existing correlations. To cross-check the validity of the derived model, an independent dataset was collected [14]. The mentioned dataset consists of water, acetone, ethyl acetate, 2-propanol, methanol and ethanol at the boiling liquid. The heating section was pure copper with smooth texture. To quantify the impact of various physical properties on boiling heat transfer coefficient, the sensitivity analysis was performed by arranging the following equation: α = ρlg0 ρ vg1hfgg2C lg3 μlg4σ g5k lg6 ρsg7C sg8k sg9 (1) By using the genetic algorithm, the vector G = = [g0,g1,…,g9], which represents the exponents of Eq. (1), is found equal to: G = [0.46, − 0.86, − 0.39,0.78, − 0.16,0.24, − 0.32, − 0.26, − 0.10,0.37, − 0.10,0.38] (2) Figure 3. The raw numerical values of heat flux versus degree of superheat. 21 S. ALI ALAVI FAZEL, G. HOSSEYNI: EXPERIMENTAL INVESTIGATION… CI&CEQ 22 (0) 000−000 (2016) Q = qA = q c Ac + q b Ab (7) By combining Eqs. (4), (5) and (7) the heat flow rate can be calculated as: Q = qA = α b Ab ΔT + α c Ac ΔT (8) Assuming the affected areas by spherical bubbles are equal to the projected area of the bubbles, Ab can be calculated by: Ab N π 2 = β d A A 4 Figure 3. The raw numerical values of heat flux versus degree of superheat. Modeling According to Newton’s cooling law, the heat transfer is proportional to the area and the thermal driving force, i.e.: qA = α A ΔT (3) In the presence of bubbles on the heating surface, the heating area can be divided by two complementary zones: 1) Ab, the area that is affected by bubbles and 2) Ac, the convective heat transfer area, as designated in Figure 5. Each zone has the individual magnitude of heat transfer, i.e.: q c Ac = α c Ac ΔT (4) and: q b Ab = α b Ab ΔT (5) where the subscripts “c” and ”b” stand for “convection” and “bubble affected” areas, respectively. Openly, the following equation is already established: A Ac Ab = + =1 A A A (6) where N/A is the nucleation site density. In the aforementioned equation, β is the ratio of area of influence to projected area of bubble at departure. Judd and Hwang [15] have matched their predicted heat fluxes with experimental data and reported that β = 1.8. Some other investigators, such as Han and Griffith [16], postulated that β = 4. In this investigation, it is found that the parameter β depends on the shape and the oscillating behavior of the departing bubble. Clift, Grace and Weber [17] proposed that the bubble shapes can be describes by the dimensionless Eötvös number. In addition, because the dimensionless Roshko number describes the oscillating nature of the rising bubbles, here it is postulated that the parameter β should be a function of both Ro and Eö. By regression analysis it is found that: β = 22−4 Ro .Eö Summing up Eqs. (4) and (5) yields: 22 (10) where: Eö = ( ρl − ρv ) gd 2 (11) σ and: Ro = fd 2 μl / ρl (12) Figure 6 describes the relation between the aforementioned dimensionless groups. Combining Eqs. (8) and (9) yields: α = α c + (α b − α c ) β Figure 5. Dividing the boiling heat transfer area in the modeling. (9) N πd 2 A 4 (13) where α is the total heat transfer coefficient, αc is the convective heat transfer coefficient and αb is the heat transfer coefficient in the bubble affected area (all in W m-2 K-1). When a bubble is develops on a heating surface, the heat transfer coefficient through the bubble stem, αb can be predicted by the correlation proposed by Mikic and Rohsenow [18]. The heat transfer S. ALI ALAVI FAZEL, G. HOSSEYNI: EXPERIMENTAL INVESTIGATION… Chem. Ind. Chem. Eng. Q. 22 (1) 17−26 (2016) mechanism is substantiated to be transient conduction around nucleation sites. The heat transfer coefficient is calculated by: age absolute error of 14% for the entire systems. The Stephan correlation [21] is an experimental correlation with the following mathematical form: αb = 2 π k l ρC l plf Ja 2 100000 d = 0.25 1 + Ar Pr (14) 0.5 2σ g ( ρl − ρ v ) (18) To predict the nucleation site density, the correlation proposed by Xiao, Jiang, Zheng, Chen and Liu [22] is recommended: N −6 = 7.8125e-29 (1 − cosφ ) R c,min A (19) In the aforementioned correlation, the minimum cavity radius is calculated by: R c,min = 2 Figure 6. The ratio of area of influence to projected area of bubble at departure as a function of the products of Roshko number and Eötvös number. The convective heat transfer coefficient, αc can be calculated by the equation proposed by Churchill and Bernstein [19], which is applicable to forced convection around the horizontal cylinders: Nu OD = 0.3 + + 1/2 0.62Re OD Pr 1/3 1 + ( 0.4 / Pr )2/3 1/ 4 5/8 Re OD 1 + 282000 4/5 (15) where the dimensionless Reynolds number is calculated based on the upward terminal velocity of bubbles, uT. The upward terminal velocity can be calculated by: uT = 4 d ρl − ρ v g 3 C d ρl (16) and the drag coefficient, Cd, is already calculated by Ishii and Zuber [20]: Cd = 24 Re d ( 1 + 0.1Re d0.75 ) (17) Note that to find the terminal velocity, Eqs. (16) and (17) should be calculated iteratively, because the Reynolds number is already a function of the terminal velocity. To predict the bubble departing diameter, many correlations have been compared to experimental data. It is found that the Stephan correlation [21] has the best agreement with experimental data with aver- θ 4ζ c 2 δ θs − 1− s − 1− c1 θw δθ w θw (20) where: ζ= 2σTsat (21) ρ vhfg 1 + cos ϕ sin ϕ (22) c 2 = 1 + cos ϕ (23) c1 = where ϕ is the contact angle of the fluid and the heater material. The boundary layer thickness can be calculated by dividing the liquid thermal conductivity to the natural convection heat transfer coefficient: δ= kl αNC (24) To calculate the bubble departing frequency, the experimental correlation proposed by Zuber [23] is recommended: σ g ( ρl − ρ v ) fd = 0.59 ρl2 0.25 (25) Note that in the modeling of the present data, the experimental values of nucleation site density, bubble departing frequency and diameter are used. MODEL VALIDATION The performance of the new model is compared to experimental data, as presented in Figure 7. It is found that 95% of the data points are matching within ±11% absolute average error with experimental data. Note that the value of ±11% is calculated as the max- 23 S. ALI ALAVI FAZEL, G. HOSSEYNI: EXPERIMENTAL INVESTIGATION… imum expected uncertainty. To revalidate the new model, an independent dataset [14] have been compared to the new model as presented in Figure 8. It is shown that about 90% of the data points are matching within ±20% absolute average error with experimental data. It is important to note that the new model is very sensitive to three key parameter including nucleation site density, bubble departing frequency and diameter. In evaluating the performance of the new model by the independent dataset [14], the three aforementioned parameters were estimated by existing correlation introduced by Eqs. (18), (19) and (25). In the mentioned reference [14], these values are not reported. Figure 7. The predicted values of heat flux versus the experimental values of present study. Chem. Ind. Chem. Eng. Q. 22 (1) 17−26 (2016) CONCLUSION In this investigation, saturated nucleate pool boiling heat transfer was studied experimentally for two boiling liquids – water and ethanol. Several heating elements were made and tested with different metals including copper, aluminum, brass and SS316 with various degrees of roughness. The measured data includes boiling heat transfer coefficient, nucleation site density, bubble departing diameter, as well as bubble departing frequency. The experimental heat fluxes were limited to 100 kW m-2 to be able to measure the visual information of the boiling phenomenon. It was found that bubble departure frequency, diameter and nucleation site density are three key-parameters in determining the boiling heat transfer coefficient. Furthermore, the ratio of area of influence to projected area of bubble at departure can be correlated to the products of two dimensionless groups, Roshko and Eötvös numbers. The Roshko number describes the oscillating nature of bubble dynamics, while the Eötvös number characterizes the shape of bubbles. It was shown that by dividing the heating surface to two complementary areas, one is directly influenced by bubbles and the other is free from bubbles effects; the boiling heat transfer is predictable. A new semi-empirical model was proposed to predict the boiling heat transfer coefficient. Acknowledgment The author is thankful to department of chemical engineering, college of chemistry and chemical engineering, Mahshahr Branch, Islamic Azad University, Mahshahr, Iran for financial support of research project entitled “Pool boiling heat transfer in pure liquids”. NOMENCLATURE Figure 8. The predicted values of heat flux versus the experimental values from independent investigation. 24 A Ar b c1 c2 Cd C Csf d Eö f Fp Fq FWM FWR g area, m-2 Archimedes number constant (see Mostinski correlation) constant, see Eq.(22) constant, see Eq.(23) drag coefficient heat capacity, J kg-1 K-1 constant, see Rohsenow correlation bubble diameter, m Eötvös number bubble departing frequency, Hz see Gorenflo correlation see Gorenflo correlation see Gorenflo correlation see Gorenflo correlation acceleration of gravity, N kg-1 S. ALI ALAVI FAZEL, G. HOSSEYNI: EXPERIMENTAL INVESTIGATION… hfg Ja k Mw N P Pr Pr q Re Ro Ra T uT specific heat of vaporization, J kg-1 Jakob number thermal conductivity, W m-1 K-1 molecular weight, g mol-1 number of nucleation sites pressure, Pa Prandtl number reduced pressure heat flux, W/m2 Reynolds number Roshko number absolute roughness, m temperature, K terminal velocity, m s-1 Subscripts 0 b c l NC OD s v w reference boiling convection or critical liquid natural convection outside diameter saturated or solid vapor wall Greek symbols heat transfer coefficient, W m-2 K-1 thermal diffusivity, m2 s-1 the ratio of area of influence to projected area of bubble at departure boundary layer thickness, m δ ζ see Eq. (21) θs D-value of Ts-T∞ D-value of Tw-T∞ θw ρ density, kg m-3 σ surface tension, N m-1 contact angle – see Eq. (19), (22) and (23) ϕ α αl β REFERENCES [1] Chem. Ind. Chem. Eng. Q. 22 (1) 17−26 (2016) [2] W.M. Rohsenow, Trans. 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HOSSEYNI: EXPERIMENTAL INVESTIGATION… SEYED ALI ALAVI FAZEL GOHARSHAD HOSSEYNI Department of chemical engineering, college of chemistry and chemical engineering, Mahshahr Branch, Islamic Azad University, Mahshahr, Iran NAUČNI RAD Chem. Ind. Chem. Eng. Q. 22 (1) 17−26 (2016) EKSPERIMENTALNA ISTRAŽIVANJA PRENOSA TOPLOTE PRI DELIMIČNOM KLJUČANJU ZASIĆENIH ČISTIH TEČNOSTI Prenos toplote pri delimičnom zasićenom ključanju je eksperimentalno ispitivan u sudu sa horizontalnim grejačem oblika šipke. Ispitivanje je uključilo vodu i etanol. Sekcija za grejanje je napravljena od različitih materijala: SS316, bakar, aluminijum i mesing. Eksperimenti su izvršene sa površinama čiji stepen hrapavosti meren srednjom vertikalnom devijacijom u opsegu između 30 i 360 μm. Ispitivani su koeficijent prenosa toplote, prečnik i učestalost otkidanja mehura, kao i gustina nukleacionih mesta. Podaci su poređeni sa glavnim postojećim korelacijama. Pokazano je da se eksperimentalni podaci ne poklapaju sa prihvatljivom tačnošću sa glavnim korelacijama u celom opsegu eksperimentlnih uslova. U ovom radu, oblast prenosa toplote pri ključanju je podeljen u dve komplementarne podoblasti: izazvane prinudne konvekcije i oblasti pod uticajem ključanja. Za koefijent prenosa toplote predložen je polu-empirijski model koji uključuje dva bezdimenziona kriterijuma, Etvesov i Roškov kriterijum. Pokazano je da predloženi model nudi poboljšane performanse u predviđanju koeficijenta prenosa toplote u poređenju sa postojećim korelacijama. Ključne reči: indukovana prinudna konvekcija, ključanje zasićene tečnosti, hrapavost površine, koeficijent prenosa toplote. 26 Available on line at Association of the Chemical Engineers of Serbia AChE www.ache.org.rs/CICEQ Chemical Industry & Chemical Engineering Quarterly Chem. Ind. Chem. Eng. Q. 22 (1) 27−32 (2016) MARIJA ILIĆ1 FRANZ-HUBERT HAEGEL2 VESNA PAVELKIĆ3 DRAGAN ZLATANOVIĆ4 SNEŽANA NIKOLIĆ-MANDIĆ5 ALEKSANDAR LOLIĆ5 ZORAN NEDIĆ6 CI&CEQ THE INFLUENCE OF ALKYL POLYGLUCOSIDES (AND HIGHLY ETHOXYLATED ALCOHOL BOOSTERS) ON THE PHASE BEHAVIOR OF A WATER/TOLUENE/ /TECHNICAL ALKYL POLYETHOXYLATE MICROEMULSION SYSTEM 1 Faculty of Mining and Geology, University of Belgrade, Belgrade, Serbia 2 Forschungszentrum Jülich, Institut für Bio- und Geowissenschaften, IBG-3 Agrosphäre, Jülich, Germany 3 Institut of Chemistry, Technology and Metallurgy, University of Belgrade, Belgrade, Serbia 4 Innovation Center Faculty of Mechanical Engineering, University of Belgrade, Belgrade, Serbia 5 Faculty of Chemistry, University of Belgrade, Belgrade, Serbia 6 Faculty of Physical Chemistry, University of Belgrade, Belgrade, Serbia Article Highlights • Addition of sugar surfactant to system of water/tolune/Lutensol ON 50 was investigated • Sugar surfactant shifts the phase behavior to lower temperature • Microemulsion of water/tolune/Lutensol ON 50 and alcohol ethoxylate C18E100 was investigated • Strongly hydrophilic C18E100 shifted the one phase region to higher temperature Abstract UDC 547.533:66:544 The influence of additives (alkyl polyglucoside, Glucopon 600 CS UP and alcohol ethoxylate C18E100) on the behavior of the water/toluene/Lutensol ON 50 (technical oxoalcohol, i-C10E5) microemulsion system as a function of temperature and composition has been investigated. The phase behavior of the microemulsions was determined by vertical sections through the Gibbs phase prism (fish-like phase diagrams). Alkyl polyglucoside shifts the one phase region to lower temperatures compared with water/toluene/Lutensol ON 50 mixtures. This is contrary to the expectation, considering the extreme hydrophilic nature of the sugar headgroup. The addition of hydrophilic alcohol ethoxylate (C18E100) to the water/toluene/Lutensol ON 50 system increases the solubilization capacity of the surfactant, even if the co-surfactant is used in small quantities, and shifts the one-phase region to higher temperature by a few °C. DOI 10.2298/CICEQ141105015I Keywords: microemulsion, toluene, alkyl polyglucoside, oxoalcohol ethoxylate, efficiency booster, “fish” diagrams. SCIENTIFIC PAPER Microemulsions are thermodynamically stable optically isotropic mixtures, consisting of two immiscible components, oil and water, made miscible by a third component, the surfactant. They may contain additives such as salt or alcohol. The properties of ternary nonionic surfactant/water/oil microemulsions are very interesting scientifically and technically. A convenient way to study these systems is to measure the phase behavior at constant oil/water ratios as a function of temperature, T, and surfactant mass fraction, γ. Correspondence: M. Ilić, Faculty of Mining and Geology, University of Belgrade, Djušina 7, 11000 Belgrade, Serbia. E-mail: marija.ilic@rgf.bg.ac.rs Paper received: 5 November, 2014 Paper revised: 13 May, 2015 Paper accepted: 20 May, 2015 The stability of microemulsions over a large temperature range and low surfactant concentration is required for technical applications. Some investigations [1,2] show that the use of surfactants with longer hydrophobic units reduces the amount of surfactant needed for microemulsification due to the increasing efficiency of the surfactant. Adding suitable additives such as sugar surfactants and nonionic alcohol ethoxylates received much attention in recent years. It was found that the addition of a small amount of polymer with amphiphilic properties to the microemulsion system increases the efficiency of the surfactant [3-10]. Alcohol ethoxylate surfactants are widely used for microemulsion applications. The phase behavior with respect to the length of the hydrocarbon tails and the number of ethylene oxide (EO) units depends on the purity of alcohol ethoxylates. The structure of the 27 M. ILIĆ et al.: THE INFLUENCE OF ALKYL POLYGLUCOSIDES… hydrocarbon tail of the surfactant strongly influences the microemulsion behavior [11,12]. Technical grade alcohol ethoxylates usually contain mixtures of different alcohols and often exhibit a distribution over a large range of ethoxylation degrees. In recent years, alkyl polyglucosides, a class of sugar surfactants, have received considerable interest as nonionic surfactants because of their excellent biodegradability, ease of manufacture from renewable resources, such as sugar and vegetable oil feedstocks [13], and potential use in a large number of industrial applications [14-19]. One potential use of sugar surfactants is in microemulsion formulations. Making microemulsions with alkyl polyglucosides is difficult owing to the low surfactant solubility in many classes of oils. Fundamentally, it is of substantial interest to form microemulsions with sugar surfactant as co-surfactant or to form sugar surfactant-based microemulsions using co-surfactant. Alkyl polyglucosides, abbreviated as CmGn, represent complex mixtures [20] where m is the number of carbon atoms in the hydrocarbon chain and n is the average number of glucose units in the hydrophilic headgroup. The nonionic surfactants, n-alkyl polyglycol ethers (CiEj) are typically used. These surfactants contain i carbon atoms in the hydrophobic alkyl chain and j ethoxy units in the hydrophilic headgroup. The phase behavior of microemulsion systems containing alkyl polyglucoside has been studied by some authors [21-23]. In the last decades, a lot of papers were published concerning many aspects of polymers in microemulsions, such as solubilization efficiency boosting by amphiphilic polymers in microemulsions [24-26]. The influence of various polymers on the phase equilibrium of microemulsions containing nonionic surfactant, water and oil, has also been studied. It was found that water-soluble polymers expelled into the coexistent water phase cause the coexistence of the lamellar phase with water, which does not appear in the absence of polymer [27]. In this work, we studied the phase behavior of Lutensol ON 50-based microemulsions after addition of alkyl polyglucoside Glucopon 600 CS UP as a cosurfactant or a hydrophilic alcohol ethoxylate (C18E100) as an efficiency booster [28]. Chem. Ind. Chem. Eng. Q. 22 (1) 27−32 (2016) ance (HLB) of 13.8, according to Griffin [29]. Lutensol ON 50 (C10 oxoalcohol polyethoxylate with an average of 5 ethylene oxide units, i-C10E5) is a commercial nonionic surfactant of BASF AG, Ludwigshafen (Germany). It has a HLB of 11.5 (technical information sheet of BASF). Glucopon 600 CS UP alkyl polyglucoside (alkyl chain containing 10 to 16 carbon atoms, and an average number of glucose units of 1.4) is a commercial nonionic sugar surfactant containing 51% active matter and 49 mass% water (technical information sheet of Cognis, Monheim, Germany). The alcohol ethoxylate C18E100 was synthesized under argon using a high vacuum line by Frank et al. [28] in the laboratory of JCNS-1 at Forschungszentrum, Jülich. Water was deionized and twice distilled. Phase diagram determination Kahlweit et al. [30,31] introduced a way of studying the phase behavior of ternary or quaternary mixtures. A procedure to obtain an overview of the phases is to draw the phase diagram at a constant oil/water ratio as a function of temperature, T, and surfactant mass fraction, γ. The phase boundaries resemble the shape of a fish. Typically, temperature-composition phase diagrams obtained for a 1/1 mass ratio of oil and water show a one-phase microemulsion at relatively high surfactant concentration. At lower surfactant concentration a three-phase body exists consisting of a middle-phase microemulsion in equilibrium with excess phases of oil and water, surrounded by two-phase regions illustrated as 2Φ and 2Φ . When a surfactant is mainly dissolved in water and two phases consist of a surfactant-rich water (lower) phase in equilibrium with an excess oil phase, the region is denoted as 2φ. At high temperature a nonionic surfactant is more soluble in oil and forms a surfactant-rich oil (upper) phase in equilibrium with an excess water phase denoted 2Φ (Figure 1). MATERIALS AND METHODS Toluene (purity 99% by GC) was purchased from Merck Schuchardt (Germany). Octaethylene glycol decylether (C10E8, octaethyleneoxide decylether) with purity higher than 98% (GC) was purchased from Fluka (Germany). It has a hydrophilic-lipophilic bal- 28 Figure 1. Schematic “fish cut” phase diagram of a nonionic microemulsion with equal water to oil proportions as a function of surfactant concentration. M. ILIĆ et al.: THE INFLUENCE OF ALKYL POLYGLUCOSIDES… The convenient variables are the temperature and the following composition variables (pressure is always kept constant) – the mass fraction of oil in the mixture of water and oil: α = mB /(mA + mB) Chem. Ind. Chem. Eng. Q. 22 (1) 27−32 (2016) branched i-C10E5 (Lutensol ON 50) in order to find the composition and temperature of optimum solubilization (Figure 2). (1) The mass fraction of surfactant in the mixture of all three components in ternary mixtures: γ = mC/(mA + mB + mC) (2) or: γ = (mC + mD)/(mA + mB + mC + mD) (3) when two surfactants or mixtures of surfactant and co-surfactant are used. In this case, the mass fraction of one of the surface-active components (δ) in the mixture is defined as: δ = mC/(mC + mD) (4) where the capital indices A, B, C, D refer to the components, water, oil, surfactant and co-surfactant, respectively. The so-called γ -point, where the three-phase body meets the one-phase region, defines the minimum mass fraction of surfactant needed to solubilize water and oil and is a measure for the efficiency of the surfactant. The corresponding temperature, T , is a measure for the phase inversion temperature (PIT). The phase diagrams were recorded by successively adding water and oil to the initial water-oil-surfactant mixture. The samples were prepared by weighing appropriate amounts of components (1:1 ratio of oil to water) on 0.1 mg precision scales in the order surfactant, toluene, water to suppress intermediate formation of liquid crystals. The mass fraction of the surfactant (or surfactant/additive) is calculated with Eqs. (2) or (3) and the mass fraction of the additive in the surfactant /additive mixture with Eq. (4). Samples were weighed into test tubes, which were immediately sealed (glass stoppers) and put into a thermostated water bath with temperature control up to 0.2 °C. In the thermostated bath, the mixtures were stirred with small magnetic stirrers to ensure complete mixing of the components at the given temperature. After equilibrium was established, the occurring phases were characterized by visual inspection between crossed polarizers. RESULTS AND DISCUSSION The pseudo-binary phase diagrams of microemulsion systems were determined at equal mass fractions of water and toluene (α = 0.5) for two nonionic surfactants, pure linear C10E8 and technical Figure 2. Phase diagrams of water/toluene/C10E8 and water/toluene/Lutensol ON 50 at equal mass fractions of water and toluene (α = 0.5). The phase boundaries of the system with C10E8 meet at γ = 0.123, T = 24.9 °C. Beyond that point, a single homogeneous phase appears, when the mass fraction of surfactant γ is further increased. Thus, this point where the three-phase (3φ) and one-phase regions (1φ) meet represents the lowest surfactant concentration needed to solubilize equal masses of the two immiscible components, water and toluene. At lower temperatures the microemulsion coexists with excess oil (denoted by 2Φ). At higher temperatures the microemulsion coexists with excess water ( 2Φ ). This system exhibits a strong tendency to form liquid crystals. Its phase diagram shows a large area of liquid crystals (LC) surrounded by microemulsion (regions 1φ and 1φ*). These results are very similar to those reported for the same system with equal volume fraction φ of water and toluene, i.e., lower mass fraction α of oil (α ≈ 0.465). In that case, the “fishtail point” was found at γ = 0.114 and T = 24.34 °C [32]. Owing to the lower density difference of toluene and water compared to alkane systems, the samples exhibit somewhat slower phase separation. The bicontinuous microemulsion containing water, toluene and C10E8 also shows some unusual behavior at low temperatures. Shear-induced birefringence was observed between crossed polarizers in the region denoted 1φ* while stirring the sample. For the water/toluene/Lutensol ON 50 system, the determination of the point of optimum solubilization of equal masses of water and toluene failed. At high γ values, a single homogeneous phase (1φ) was 29 M. ILIĆ et al.: THE INFLUENCE OF ALKYL POLYGLUCOSIDES… found in a temperature range similar to that of the C10E8 system, but with considerably higher surfactant content needed for mutual solubilization of both water and toluene. The shape of the “fishtail” is also not symmetrical with respect to temperature. This behavior is typical for technical surfactants with a distribution of more or less hydrophobic components due to different degrees of ethoxylation [10]. In contrast to the system with linear C10E8, no liquid crystals are found within the region of the bicontinuous microemulsion (1φ) indicating a less rigid structure of the surfactant layer at the interface between the oil and the water micro-phases. Approaching the composition of optimum soulubilization of equal masses of water and toluene, samples with the branched technical surfactant needed very long and sometimes extremely long times for equilibration after agitation or temperature changes. They show delayed visible phase separation and the phase boundaries to the two-phase regions determined visually are diverging. Using the ternary mixtures water/toluene/Lutensol ON 50 as a base case, the role of added substances, sugar surfactant and hydrophilic alcohol ethoxylate on the phase behavior is explored. Effect of alkyl polyglucoside (Glucopon 600 CS UP): Phase behavior as a function of δ Figure 3 shows the temperature-composition phase diagram at mass fraction α = 0.5 for the quaternary system water/toluene/Lutensol ON 50/Glucopon 600 CS UP for varying fractions of sugar surfactant, δ (0.05, 0.10 or 0.20). Figure 3. Temperature-composition phase diagram at water to toluene mass fraction α = 0.5 for the system water/toluene/Lutensol ON 50 with added sugar surfactant, Glucopon 600 CS UP , for varying mass fractions of sugar surfactant, δ (.05, 0.10 or 0.20). 30 Chem. Ind. Chem. Eng. Q. 22 (1) 27−32 (2016) The water/toluene/Lutensol ON 50 “fish” (δ = 0) is shown for reference in Figure 3. As can be seen, with the addition of CmGn, the homogeneous microemulsion region (“fish tail” with the phase sequence 2Φ-1- 2Φ ) becomes wider and the efficiency of the surfactant mixture increases slightly. With increasing δ, the “fish tail” unexpectedly moves downward on the temperature scale despite the hydrophilic nature of the sugar surfactant. The efficiency of the surfactant mixture increases with increasing δ. In these quaternary systems the location of γ is not determined because, in contradiction to many other microemulsion systems, equilibration for the system water/toluene/Lutensol ON 50 was particularly slow near the point of optimum solubilization for the investigated ternary mixture (see Figure 1). Effect of hydrophilic alcohol ethoxylate The effect of small amounts of hydrophilic alcohol ethoxylate C18E100, on the location and width of the one-phase region was investigated. Figure 4 shows phase diagrams for the water/toluene/Lutensol ON 50 system with and without addition of C18E100. In this presentation the oil mass fraction is α = 0.5 and the mass fraction of additive is δ = 0.01. Compared with the system without additive, the one-phase region with additive is shifted to higher temperature. This effect can be explained by the large hydrophilic moiety of C18E100. For higher content of C18E100, formation of liquid crystals was observed, which makes the system unsuitable for many applications (data not shown). Figure 4. Temperature-composition phase diagram at water to toluene mass fraction α = 0.5 of the water/toluene/Lutensol ON 50 system with C18E100 as additive (mass fraction δ = 0.01). M. ILIĆ et al.: THE INFLUENCE OF ALKYL POLYGLUCOSIDES… CONCLUSIONS We have studied the phase behavior of water/ /toluene/Lutensol ON 50/Glucopon 600 CS UP and water/toluene/Lutensol ON 50/C18E100 mixtures as a function of temperature and composition. Both additives lead to improved solubilization and shift the onephase region to lower surfactant content near to the values obtained for pure C10E8. The addition of the alkyl polyglucoside, Glucopon 600 CS UP, to the ternary water/toluene/Lutensol ON 50 system additionally shifts the phase behavior to lower temperature. This behavior is unexpected, because the sugar surfactant is absolutely insoluble in toluene and should act as a hydrophilic surfactant. It should rather increase the temperature for the onephase region. No formation of liquid crystals was observed by the addition of Glucopon 600 CS UP. The microemulsion consisting of water, toluene, Lutensol ON 50 and alcohol ethoxylate C18E100 as an additive also increases the efficiency of the surfactant system, but shifts the one-phase region to higher temperature, as expected. The formation of liquid crystals at higher content of C18E100, however, makes this additive less suitable. These findings make the sugar surfactant a better choice for improving the ternary system water/ /toluene/Lutensol ON 50 with respect to applications. 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Hill, W. von Rybinski, G. Stoll, Alkyl Polyglucosides: Technology, Properties and Applications, VCH, New York, 1997 [20] C. Stubenrauch, Curr. Opin. Colloid Interface Sci. 6 (2001) 160-170 [21] L.D. Ryan, E.W. Kaler, Colloids Surfaces, A 176 (2001) 69-83 [22] K. Fukuda, U. Olsson, M. Ueno, Colloids Surfaces, B 20 (2001) 129-135 [23] J.L. Chai, Y.T. Wu , X.Q. Li, B. Yang, L.S. Chen, S.C. Shang, J.J. Lu, J. Chem. Eng. Data 56 (2011) 48-52 [24] T. Sottmann, Curr. Opin. Colloid Interface Sci. 7 (2002) 57-65 [25] D. Byelov, H. Frielinghaus, O. Holderer, J. Allgaier, D. Richter, Langmuir 20 (2004) 10433-10443 Nomenclature CiEj CmGn EO HLB T T γ n-alkyl polyglycol ethers alkyl polyglucosides ethylene oxide units hydrophile-lipophile balance temperature phase inversion temperature surfactant mass fraction Acknowledgments The authors thank the Ministry of Education, Science and Technological Development of the Republic of Serbia for financial support under project number 172051, D. Richter and J. Allgaier (JCNS-1), Forschungszentrum, Jülich, for providing experimental equipment and the synthesis of C18E100. Lutensol ON 50 was a gift from BASF. Glucopon 600 CS UP was a gift from Cognis. M. Ilić further thanks DAAD (Germany) for a scholarship. REFERENCES [1] I.D. Morrison, S. Ross, Colloidal Dispersions: Suspensions, Emulsions and Foams, Wiley, New York, 2002 31 M. ILIĆ et al.: THE INFLUENCE OF ALKYL POLYGLUCOSIDES… [26] Chem. Ind. Chem. Eng. Q. 22 (1) 27−32 (2016) M. Mihailescu, M. Monkenbusch, H. Endo, J. Allgaier, G. Gompper, J. Stellbrink, D. Richter, B. Jakobs, T. Sottmann, B. Farago, J. Chem. Phys. 115 (2001) 9563-9577 [29] W.C. Griffin, J. Soc. Cosmet. Chem. 1(5) (1949) 311-326 [30] M. Kahlweit, R. Strey, Angew. Chem. Int. Ed. Engl. 24 (1985) 654-668 [27] A. Kabalnov, U. Olsson, H. Wennerström, Langmuir 10 (1994) 2159-2169 [31] M. Kahlweit, R. Strey, P. Firman, D. Haase, Langmuir 1 (1985) 281-288 [28] C. Frank, H. Frielinghaus, J. Allgaier, D. 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MARIJA ILIĆ1 FRANZ-HUBERT HAEGEL2 VESNA PAVELKIĆ3 DRAGAN ZLATANOVIĆ4 SNEŽANA NIKOLIĆ-MANDIĆ5 ALEKSANDAR LOLIĆ5 ZORAN NEDIĆ6 1 Faculty of Mining and Geology, University of Belgrade, Belgrade, Serbia 2 Forschungszentrum Jülich, Institut für Bio- und Geowissenschaften, IBG-3 Agrosphäre, Jülich, Germany 3 Institut of Chemistry, Technology and Metallurgy, University of Belgrade, Belgrade, Serbia 4 Innovation Center Faculty of Mechanical Engineering, University of Belgrade, Belgrade, Serbia 5 Faculty of Chemistry, University of Belgrade, Belgrade, Serbia 6 Faculty of Physical Chemistry, University of Belgrade, Belgrade, Serbia NAUČNI RAD 32 UTICAJ ALKILPOLIGLUKOSIDA (I ALKOHOLA VISOKOG STEPENA ETOKSILACIJE U ULOZI POJAČIVAČA) NA FAZNO PONAŠANJE MIKROEMULZIONOG SISTEMA VODA/TOLUOL/TEHNIČKI ALKIL POLIETOKSILAT Ispitivan je uticaj aditiva (alkil poliglukosida, Glukopon 600 CS UP, i alkohol-etoksilata C18E100) na fazno ponašanje mikroemulzionog sistema voda/toluol/lutensol ON 50 (tehnički oksoalkohol, i-C10E5) u funkciji temperature i sastava sistema. Za određivanje faznog ponašanja u mikroemulziji korišćeni su vertikalni preseci Gibbs-ovih faznih prizmi (dijagrami oblika tela ribe). Jednofazni region sistema voda/toluol/Lutensol ON 50 dodatkom alkil poliglukozida se pomera ka nižim temperaturama. Ovakvo ponašanje je suprotno očekivanom, polazeći od izrazito hidrofilne prirode glave molekula površinski aktivnog šećera. Dodatak malih količina hidrofilnog alcohol etoksilata (C18E100) sistemu voda/toluol/Lutensol ON 50, povecava kapacitet rastvaranja površinski aktivne supstance i pomera jednofazni region sistema ka višim temperaturama. Ključne reči: mikroemulzija, toluol, alkil poliglukozid, oksoalkohol etoksilat, aditiv-pojačivač, “riba” dijagram. Available on line at Association of the Chemical Engineers of Serbia AChE Chemical Industry & Chemical Engineering Quarterly www.ache.org.rs/CICEQ Chem. Ind. Chem. Eng. Q. 22 (1) 33−39 (2016) V. SANGEETHA1 V. SIVAKUMAR2 1 Department of Food Technology, Kongu Engineering College, Perundurai, Tamil Nadu, India 2 Department of Chemical Engineering, Alagappa College of Technology Campus, Anna University, Chennai, India SCIENTIFIC PAPER UDC 662.756.3:628.3 DOI 10.2298/CICEQ140612016S CI&CEQ BIOGAS PRODUCTION FROM SYNTHETIC SAGO WASTEWATER BY ANAEROBIC DIGESTION: OPTIMIZATION AND TREATMENT Article Highlights • Optimization for biogas yield was conducted using response surface methodology • Mixed culture from sago industry sludge can produce effective biogas • The optimum condition for biogas production and COD removal was at pH 7 and 32 °C 2 • Adequacy of the model shows R value for COD removal and biogas production was 0.9943 and 0.9880, respectively • Abstract Sago processing industries generate a voluminous amount of wastewater with extremely high concentration of organic pollutants, resulting in water pollution. Anaerobic digestion was employed for reduction of COD and maximization of biogas production using synthetic sago wastewater by batch process. Mixed culture obtained from sago industry sludge was used as a source for microorganisms. Response surface methodology was used to optimise the variables, such as pH, initial BOD, temperature and retention time. Statistical results were assessed with various descriptives, such as p-value, lack of fit (F-test), coefficient of R2 determination, and adequate precision values. Pareto analysis of variance revealed that the coefficients of determination value (R2) of COD and BOD removal and biogas production were 0.994, 0.993 and 0.988, respectively. The optimum condition in which maximum COD removal (81.85%), BOD removal (91.61%) and biogas production of 99.4 ml/day were achieved was at pH 7 with an initial BOD of 1374 mg/l, and with the retention time of 10 days at 32 °C. Keywords: anaerobic digestion, synthetic sago wastewater, biogas production, chemical oxygen demand, optimisation. Sago, the common edible starch processed from the tubers of cassava (Mannihotesculenta) is one of the major tuber crops grown in more than 80 countries in the humid tropics. In the southern part of India, particularly in Tamil Nadu, there are about 800 small-scale units of sago industries discharging about 40,000 to 50,000 L of sago wastewater and 15 to 30 t of sludge per unit per day [1,2]. Sago processing industries generates two types of wastewater; one resulting from the washing and peeling of cassava in Correspondence: V. Sivakumar, Department of Chemical Engineering, Alagappa College of Technology Campus, Anna University, Chennai, India. E-mail: drvsivakumar@yahoo.com Paper received: 12 June, 2014 Paper revised: 13 April, 2015 Paper accepted: 25 May, 2015 a rotary drum with low chemical oxygen demand (COD) and the other from the extraction process which owns a high contaminating load of COD and biochemical oxygen demand (BOD). Hence, large quantities of processed water up to 15 m3/t of fresh cassava root are converted into wastewater, which must be treated before its release into the environment. The amount of water used to produce one ton of starch ranges from 10-30 m3 and repeated washing improves the starch quality [3]. Due to stringent environment protection regulations, it is necessary for the processing industry to treat wastewater [4]. Hence, it has become mandatory for these units to treat the wastewater for safe discharge. There is ample space for an effective and complete treatment system which will ensure a safe 33 V. SANGEETHA, V. SIVAKUMAR: BIOGAS PRODUCTION… effluent standard limit and hidden energy recovery in the form of biogas before the disposal [1]. Viewing the socio-economic profile of small-scale industrial farming operations, it is necessary to develop a suitable low-cost treatment method for treatment of sago wastewater [3]. Physical and chemical methods of treating the sago wastewater have been unpredictable due to the problem of sludge disposal. Biological methods are classified into two types: aerobic processes [5-7], which have limited applicability due to aeration cost [8,9], and anaerobic processes at high treatment rate such as anaerobic filter [10], hybrid UASB [11], anaerobic rotating biological contactor [12] and fluidized bed [1] systems. From previous literature, it is found that most of the researchers successfully used anaerobic processes for treatment of sago wastewater [11-13]. Various anaerobic treatment techniques, including conventional method, pave way for sustainable environment [14-18]. Anaerobic treatment has an advantage of degrading concentrated waste and producing significantly less sludge [4]. Because of variations in process variables, anaerobic treatment processes are rare at the industrial scale and easily unstable under certain circumstances. Therefore, the model has been developed to optimize the treatment process for COD removal, BOD removal and biogas production, as functions of the following operating variables: pH, initial BOD, temperature and retention time. Response surface methodology (RSM), a mathematical (statistical) technique, is commonly used for developing, analysing, optimizing, and understanding performance of complex variables in an efficient mode. Recently, it has been successfully applied to different wastewater treatment for achieving optimization using experimental designs [19-25]. The advantage of using RSM is the reduction in the number of experiments, compared to a full experimental design at the same level [26]. The objective of the present work is to study the treatment of COD and BOD removal and biogas production in anaerobic digestion of synthetic sago wastewater, and also optimizing the effect of the process variables such as pH (4-8), initial BOD concentration (798–1702 mg/L), temperature (26–34 °C) and retention time (4–12 days) using RSM. A full factorial Central Composite Design (CCD) was employed for the optimisation of process variables. Chem. Ind. Chem. Eng. Q. 22 (1) 33−39 (2016) MATERIALS AND METHODS Sago wastewater Preparation of synthetic sago wastewater was reported elsewhere [27] and the physicochemical characteristics of the synthetic sago wastewater were analysed as per standards of American Public Health Association (APHA) [28]. The characteristics of the wastewater were pH: 6.8, COD: 2286 mg/L, BOD: 840 mg/L, TDS: 1237 mg/L, TSS: 537 mg/L, VS: 610 mg/L and VSS: 1015 mg/L. Experimental setup and procedure The experiment was carried out in a batch reactor of 1 L capacity (Figure 1) for different time intervals (4-12 days). Mixed sludge from sago industry was used as inoculum (10 vol.%) containing methanogenic bacteria of Methanosarcina, Methanococcoides, Methanoplanus and Methanospirillum. The pH was adjusted by 1 M HCl or 1 M NaOH using a pH meter (1283286 Eutech Instruments, Singapore). Initial BOD was varied from 798 to 1702 mg/L by adding sago powder and temperature was adjusted from 26 to 34 °C with the help of a water bath. The samples were taken for analysis of COD by the open reflux method and for BOD by the standard dilution technique according to APHA [28] and also for biogas production [13]. Figure 1. Experimental setup. Experimental design Four factors and five levels of rotatable CCD were carried out with 30 experimental runs. Twenty four experiments were augmented with six replicates at the design centre to evaluate the pure error. Each variable was varied from 5 levels and the relationship between the coded and actual values are described as follows: xi = 34 (Xi − X o ) ΔX i (1) V. SANGEETHA, V. SIVAKUMAR: BIOGAS PRODUCTION… where xi and Xi are the dimensionless and actual values of the independent variable i, Xo is the actual value of the independent variable at the centre point and ΔXi is the step change of Xi corresponding to the unit variation of the dimensionless value. The variables and its levels are designated as –2, –1, 0, +1 and +2. The second order polynomial equation was used to describe the effect of independent variables in terms of linear, quadratic and interactions: Y = β o + β1X 1 + β 2 X 2 + β3 X 3 + β 4 X 4 + β12 X 1X 2 + + β13 X 1X 3 + β14 X 1X 4 + + β 23 X 2 X 3 + β 24 X 2 X 4 + Chem. Ind. Chem. Eng. Q. 22 (1) 33−39 (2016) COD Removal (Y1) = −513.15 + 15.10 X 1 + 0.061X 2 + 23.152 X 3 + 10.289 X 4 + 0 .009 X 1X 2 + +2.539 X 1X 3 − 1.062 X 1X 4 + 0.003 X 2 X 3 − (3) 2 1 −0.0007 X 2 X 4 + 0.165 X 3 X 4 − 6.94 X − −0.00008 X 22 − 0.669 X 32 − 0.322 X 42 BOD Removal (Y 2 ) = −1418.08 + 55.88 X 1 + 0.21X 2 + 67.62 X 3 + 23.68 X 4 + 0.007 X 1X 2 +1.52 X 1X 3 − 0.115 X 1X 4 + 0.0004 X 2 X 3 + (2) + β34 X 3 X 4 + β11X 12 + β 22 X 22 + β33 X 32 + β 44 X 42 where Y is predicted response, βo is constant coefficient, β1, β2, β3 and β4 are linear coefficients, β11, β22, β33 and β44 are quadratic coefficients, β12, β13, β14, β23, β24 and β34 are cross-products coefficients, and X1, X2, X3 and X4 are input variables (pH, initial BOD, temperature and retention time).The data obtained from the response surface methodology on COD removal and BOD removal and biogas production was subjected to the ANOVA. The quality of the fit polynomial model was stated by the coefficient of determination (R2), adjusted R2, and its statistical significance was determined by F test. The individual effect of each variable as well as the effect of the interaction were determined, and numerical optimisation was performed to determine the optimal solution (maximum COD removal, BOD removal and biogas production). RESULTS AND DISCUSSION Statistical analysis and fitting of second order polynomial equation Several factors influence the removal of COD and biogas production from the synthetic sago wastewater, but initial BOD, pH, temperature and retention time play important roles. The response COD, BOD and biogas were measured for different runs according to the design matrix carried out based on the design of experiment and the values for random runs are shown in Table 1. CCD seeks to minimise the integral of the prediction variable across the design space. Experimental results were analysed, approximating the function of COD and BOD removal and biogas production. The regression equations (3)–(5) shown below are obtained after the ANOVA: 2 1 (4) 2 2 +0.003 X 2 X 4 − 0.46 X 3 X 4 − 8.14 X − 0.001X − −1.82 X 32 − 0.66 X 42 Biogas production (Y 3 ) = −2497.74 + 91.60 X 1 + +0.45 X 2 + 117.33 X 3 + 35.29 X 4 + 0.01X 1X 2 +1.02 X 1X 3 + 0.52 X 1X 4 - 0.0007 X 2 X 3 − 2 1 (5) 2 2 0.002 X 2 X 4 − 0.20 X 3 X 4 − 9.91X − 0.0018 X − −1.96 X 32 − 1.64 X 42 To check the estimated regression equation for the goodness of fit, Fishers F-test was employed and the multiple correlation coefficients R2 was calculated [21]. The ANOVA results showed the significant response models with highest (p < 0.05) R2 value of 0.994, 0.993 and 0.988 for removal of COD, BOD and biogas production, respectively. The two different tests, such as sequential model sum of squares and model summary statistics are used to decide the adequacy of various models. prob > F values for the quadratic model were less than 0.0001, while the maximum adjusted R2 value and predicted R2 value were found to be 0.989 and 0.970 for COD removal. Even though the cubic model was found to be aliased, prob > F values were greater than 0.05. Therefore, the quadratic model was chosen for further analysis. Adeq Precision measures the signal-to-noise ratio; typically a ratio greater than 4 is desirable. Thus, signal-to-noise ratios of 56.422, 47.407 and 31.701 for removal of COD, BOD and biogas production, respectively, indicate an adequate signal, and this model can be used to navigate the design space. The result indicates that the process variables are significant factors that affect the response variables. The interacting terms significant for removal of COD, BOD and biogas production are shown in Table 2. Effect of independent variables on % COD and % BOD removal The polynomial equation framed for the above analysis was expressed as three-dimensional surface plots to visualise individual and interactive outcome of factors on the response within the design range. According to the quadratic model X1, X2, X3 and X4 35 V. SANGEETHA, V. SIVAKUMAR: BIOGAS PRODUCTION… CI&CEQ 22 (1) 33−39 (2016) Table 1. The design of experiment and response for random runs of anaerobic digestion pH Int. BOD T t COD Removal, % BOD Removal, % X1 X2 X3 X4 Yexp Ypre Yexp Ypre Yexp Ypre 1 7 1024 28 10 45.38 47.93 64.62 66.62 72.3 72 2 6 1702 30 8 50.83 49.73 60.81 60.81 54.1 56.26 3 6 798 30 8 43.83 44.22 54.55 54.87 42.6 45.75 4 5 1476 28 6 25.27 26.57 35.27 35.38 26.5 25.54 5 7 1024 28 6 43.24 41.49 55.65 54.54 55.9 52.32 6 6 1250 26 8 38.64 37.8 52.24 51.69 46 45.5 7 6 1250 30 8 63.55 63.95 78.79 81.31 84.6 88.9 8 5 1024 28 6 29.61 30.34 38.08 39.41 21.6 22.37 9 6 1250 30 4 46.02 47.41 56.92 58.4 43.6 48.51 10 8 1250 30 8 56.9 57.23 70.9 72.79 83.1 90 11 4 1250 30 8 16.1 15.06 26.26 24.69 10.1 8.51 Run Biogas production, ml/day 12 6 1250 34 8 68.52 68.66 72.23 73.1 63.6 69.41 13 7 1024 32 6 62.33 62.62 76.9 74.66 73.6 70.72 14 5 1476 32 10 48.72 49.96 56 56.36 43.6 42.94 15 7 1476 28 6 46.6 45.78 58.33 57.07 65.3 64.67 16 6 1250 30 8 65.21 63.95 80.41 81.31 89.6 88.9 17 5 1476 32 6 34.98 33.65 45.63 44.06 35.1 34.33 18 6 1250 30 8 64.35 63.95 82.56 81.31 90.1 88.9 19 5 1024 28 10 46.36 45.28 54.4 52.41 37.4 37.87 20 7 1024 32 10 73.52 71.71 80.2 79.34 90.4 87.12 21 7 1476 28 10 50.4 50.94 76.8 75.83 82.6 80.72 22 5 1024 32 6 32.2 31.15 47.1 47.32 34.9 32.54 23 6 1250 30 8 64.2 63.95 81.54 81.31 90 88.9 24 6 1250 30 12 72.25 70.16 83.94 82.78 76.4 76.8 25 5 1024 32 10 46.7 48.74 51.25 52.94 45.2 44.77 26 6 1250 30 8 62.5 63.95 82.54 81.31 88.6 88.9 27 7 1476 32 6 72.6 73.17 76.69 77.94 86.4 81.69 28 7 1476 32 10 80.5 80.99 90.21 89.31 96.3 94.47 29 5 1476 28 10 39.3 40.23 52.4 55.07 35.6 37.42 30 6 1250 30 8 63.86 63.95 82.01 81.31 90.5 88.9 Table 2. ANOVA of the second order polynomial equation for COD and BOD removal and biogas production Source df COD Removal, % BOD Removal, % Biogas production, ml/day Coefficient p-Value Coefficient p-Value Coefficient p-Value estimate Prob > F estimate Prob > F estimate Prob > F Model 14 7184.55 < 0.0001 8093.31 < 0.0001 18091.68 < 0.0001 X1 1 2667.67 < 0.0001 3469.21 < 0.0001 9959.30 < 0.0001 X2 1 45.46 0.0010 52.96 0.0018 165.90 0.0043 X3 1 1428.36 < 0.0001 687.05 < 0.0001 858.01 < 0.0001 X4 1 776.46 < 0.0001 891.45 < 0.0001 1199.92 < 0.0001 X1×X2 1 64.92 0.0002 42.87 0.0040 84.18 0.0303 X1×X3 1 412.80 < 0.0001 148.66 < 0.0001 67.65 0.0487 X1×X4 1 72.21 0.0001 0.86 0.6373 17.43 0.2934 X2×X3 1 39.28 0.0018 0.57 0.6999 1.89 0.7249 X2×X4 1 1.63 0.4515 44.72 0.0034 13.14 0.3595 X3×X4 1 7.04 0.1293 54.58 0.0016 10.73 0.4065 X12 1 1324.67 < 0.0001 1818.38 < 0.0001 2694.50 < 0.0001 36 V. SANGEETHA, V. SIVAKUMAR: BIOGAS PRODUCTION… Chem. Ind. Chem. Eng. Q. 22 (1) 33−39 (2016) Table 2. Continued COD Removal, % Source df BOD Removal, % Biogas production, ml/day Coefficient p-Value Coefficient p-Value Coefficient p-Value estimate Prob > F estimate Prob > F estimate Prob > F < 0.0001 X22 1 493.56 < 0.0001 944.20 < 0.0001 2461.88 X32 1 196.93 < 0.0001 613.25 < 0.0001 1695.16 < 0.0001 X42 1 45.70 0.0010 196.96 < 0.0001 1180.88 < 0.0001 Residual 15 40.96 Lack of fit 10 36.87 Pure error 5 4.08 55.74 0.0549 are the important factors determining Y1 and Y2. The results shown in Figures 2 and 3 indicate that at pH 7, COD and BOD removal are 81.85 and 91.16%, respectively. In mixed sludge, methane producing bacteria are sensitive to mesosphilic temperature range; the graph shows that at 32 °C removal of COD and BOD were achieved at a maximum. Further increase in temperature is not significant in COD removal and also the production of bio gas decreases. Retention time less than 4 days is insufficient for a stable digestion because initial volatile fatty acid concentration was high in the wastewater. After 8-10 days there is a decrease in volatile fatty acid which leads to high COD removal [29]. Therefore, increase in retention time increases the COD removal [1,13]. Similarly, increase in retention time increases the BOD removal due to reduction in organic content of the wastewater caused by anaerobic digestion. 44.96 10.78 220.55 0.2159 196.27 0.0683 24.28 Figure 3. Effect of temperature and retention time on BOD removal (%) at optimum pH and initial BOD. Effect of independent variables on biogas production Figure 2. Effect of temperature and retention time on COD removal (%) at optimum pH and initial BOD. Biological decomposition of organic wastes results in biogas production. The variation in parameters such as pH, initial BOD, temperature and retention time are significant factors affecting the growth of microbes during anaerobic digestion. From Figure 4 it is observed clearly that an increase in retention time proportionately increases the biogas production, which further indicates that a maximum of 99.4 ml/day of the biogas was recovered at optimum condition. Anaerobic digestion can take place at either mesophilic or thermophilic temperatures. Even small changes in temperature from 32–34 °C have been shown to reduce the biogas production rate. Hence, mixed sludge was suitable for biogas recovery in the mesophilic temperature in which anaerobes are active at 32 °C. pH is an important parameter for anaerobic digestion. The suitable pH range for methane producing bacteria is 6.8–7.2. The pH range of 5.5–6.5 is suitable for acetogenic bacteria. The pH is maintained with a methanogenic range to prevent the predominance of the acid forming bacteria [4]. 37 V. SANGEETHA, V. SIVAKUMAR: BIOGAS PRODUCTION… From the results, it was found that the optimum pH is 7 for biogas production. Chem. Ind. Chem. Eng. Q. 22 (1) 33−39 (2016) thetic sago wastewater using anaerobic digestion is very effective and the operating variables highly influence the response variables. Hence, this study was a unique attempt to optimise the treatment and production of effective biogas using anaerobic digestion treatment. The RSM model helped to identify the most significant operating factors and the optimum levels with minimum effort and time. REFERENCES Figure 4. Effect of temperature and retention time on biogas production at optimum pH and initial BOD. [1] R. Saravanane, D.V.S. Murthy, K. Krishnaiah, Water Air Soil Pollut. 127 (2001) 15–30 [2] S. Savitha, S. Sadhasivam, K. Swaminathan, Feng Huei Lin, J. Cleaner Prod. 17 (2009) 1363–1372 [3] X. Colin, J.L. Farinet, O. Rojas, D. Alazarda, Bioresour. Technol. 98 (2007) 1602–1607 [4] K. Gurdal, S. Arslan, Environ. 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The optimized process conditions obtained at pH 7, initial BOD 1374 mg/L, temperature 32 °C and a retention time of 10 days showed a maximum COD and BOD removal of 81.85 and 91.16%, respectively, and maximum biogas production of 99.4 ml/day with a desirability of 0.991. The results obtained at 10 days of retention time show higher BOD removal, COD removal and biogas production [2]. CONCLUSION In the present study, anaerobic digestion methodology has been employed for reduction of COD and biogas production under optimal condition. The RSM based CCD was shown to be useful for the design of experiments to investigate the effect of the four estimated parameters (pH, initial BOD, temperature and retention time) on the response parameters (COD and BOD removal and biogas production). The results showed good agreement between experimental and predicted values. 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SIVAKUMAR 1 Department of Food Technology, Kongu Engineering College, Perundurai, Tamil Nadu, India 2 Department of Chemical Engineering, Alagappa College of Technology Campus, Anna University, Chennai, India NAUČNI RAD PROIZVODNJA BIOGASA IZ VEŠTAČKIH OTPADNIH VODA IZ PROIZVODNJE SKROBNOG BRAŠNA PALME SAGO ANAEROBNOM DIGESTIJOM: OPTIMIZACIJA I TRETMAN Prerađivačka industrija skrobnog brašna palme sago stvara veliku količinu otpadnih voda sa izuzetno visokom koncentracijom organskih zagađivača, što dovodi do zagađenja vode. Za redukciju HPK i maksimalnu proizvodnju biogasa korišćena je anaerobna digestija veštačkih otpadnih voda iz industrije skrobnog brašna šaržnim postupkom. Mešana kultura dobijena iz mulja industrije skrobnog brašna je korišćeno kao izvor mikroorganizma. Metodologija odzivne površine je korišćena za optimizaciju faktora procesa, kao što su: pH, početna vrednost BPK, temperatura i vreme zadržavanja. Statistički rezultati su ocenjeni preko p vrednosti, odstupanja (F-test), koeficijenta determinacije R2 i adekvatne preciznosti. Pareto analiza varijansi je pokazala da koeficijenti determinacije (R2) za smanjenje HKP i BPK i proizvodnju biogasa iznose 0,994, 0,993 i 0,988, redom. Optimalni uslovi pri kojima je postignuto maksimalno uklanjanje HPK (81,85%) i BOD uklanjanje (91,61%) i proizvodnju biogasa (99,4 ml po danu) su: pH 7, početni BPK 1374 mg/l, vreme zadržavanja 10 dana i temperatura 32 °C. Ključne reči: anaerobna digestija, veštačka optadna voda iz proizvodnje skrobnog brašna, produkcija biogasa, hemijska potrošnja kiseonika, optimizacija. 39 Available on line at Association of the Chemical Engineers of Serbia AChE www.ache.org.rs/CICEQ Chemical Industry & Chemical Engineering Quarterly Chem. Ind. Chem. Eng. Q. 22 (1) 41−45 (2016) MUHAMMAD IMRAN AHMAD1 MUHAMMAD SAJJAD1 IRFAN AHMED KHAN2 AMINA DURRANI2 ALI AHMED DURRANI1 SAEED GUL1 ASMAT ULLAH1 1 Department of Chemical Engineering, University of Engineering and Technology, Peshawar, Pakistan 2 Qadir Enterprises, Peshawar, Pakistan SCIENTIFIC PAPER UDC 666.94(549.1) DOI 10.2298/CICEQ141012017A CI&CEQ SUSTAINABLE PRODUCTION OF BLENDED CEMENT IN PAKISTAN THROUGH ADDITION OF NATURAL POZZOLANA Article Highlights • Ordinary Portland cement is partially substituted with rhyolite to reduce cost • Blended cements employing rhyolite are demonstrated to possess satisfactory compressive strength • Inter-grinding of rhyolite and clinker to produce blended cement shows reduced energy consumption Abstract In this work, pozzolana deposits of district Swabi, Pakistan were investigated for partial substitution of Portland cement along with limestone filler. The cement samples were mixed in different proportions and tested for compressive strength at 7 and 28 days. The strength activity index (SAI) for 10% pozzolana, and 5% limestone blend at 7 and 28 days was 75.5 and 85.0% satisfying the minimum SAI limit of ASTM C618. 22% natural pozzolana and 5% limestone were interground with clinker and gypsum in a laboratory ball mill to compare the power consumption with ordinary Portland cement (OPC) (95% clinker and 5% gypsum). The ternary blended cement took less time to reach the same fineness level as OPC due to soft pozzolana and high grade lime stone, indicating that intergrinding may reduce overall power consumption. Blended cement production using natural pozzolana and limestone may reduce the energy consumption and greenhouse gas emissions. Keywords: ternary blended cement, natural pozzolana, limestone filler, cement production. Natural pozzolans have been employed in civil works since ancient times [1]. The addition of natural volcanic rocks to cement or to concrete mixes results in improving chemical and physical properties such as reduction in heat release when mixed with water, good ultimate compressive strength, low permeability, high resistance to sulphates and chloride attacks, and reduced alkali-silica reaction [2]. Addition of limestone as a filler increases the early strength development in concrete; however, chloride ion diffusion may also increase depending upon the blending ratio. A careful choice of additives and their blending ratios may yield cements with enhanced performances. Cement production may become more sustainable by addition of Correspondence: M. Imran Ahmad, Department of Chemical Engineering, University of Engineering and Technology, Peshawar, Pakistan. E-mail: Imran.Ahmad@nwfpuet.edu.pk Paper received: 12 October, 2014 Paper revised: 12 October, 2014 Paper accepted: 1 June, 2015 cementitious materials in the process resulting in reduction in fuel consumption required for clinker formation, CO2 emissions, as well as enhanced durability and life cycle performance of the concrete structures [3]. The addition of natural pozzolans to form blended cements has been investigated extensively by researchers previously demonstrating benefits in reduction of energy consumption, green house gas emissions, and cost [4-7]. The addition of natural pozzolans is constrained due to increase in hydration requirements and decrease in early strength development [8]. Blending of cement with natural pozzolans and others additives offers the advantage of exploiting characteristic of various materials while compensating for disadvantageous features [9-14]. Blended cements are also produced on a commercial scale, for example in Algeria, using natural pozzolana and limestone [15]. 41 M. IMRAN AHMAD et al.: SUSTAINABLE PRODUCTION OF BLENDED CEMENT… Natural pozzolans are known to react with the calcium hydroxide formed during the reaction of ordinary Portland cement with water. The reaction of silica component of pozzolana with calcium hydroxide is relatively slow, and produces calcium silicate hydrates. The addition of pozzolana also results in increase of cementitious aluminates resulting from the reaction of alumina component of pozzolana with calcium hydroxide and sulphate ions [16-19]. This research work attempts to explore the production of blended cements in Pakistan through addition of natural pozzolana for sustainable growth of the cement, and construction sector. Natural pozzolana deposits are available in different areas of KPK, Pakistan such as in Karak, Mohmand agency, Swabi and Swat. Bentonite deposits of Karak district have been investigated for partial substitution of ordinary Portland cement in mortars and concrete [20]. In this paper the natural pozzolana deposits of Swabi are investigated for production of ternary blended cement. Pozzolana deposits are located in Gohatee, on both sides of Swabi-Mardan road as extrusive rocks, i.e., during geological transformation Chem. Ind. Chem. Eng. Q. 22 (1) 41−45 (2016) these extruded to the ground surface. The estimated quantity of deposit above ground level is 9.2 million tons, while the quantity below ground level needs to be estimated after proper drilling. The pozzolana deposits of Swabi are whitish in color without any significant variation in size and composition [21]. MATERIAL AND METHODS Pozzolana samples were collected and tested for chemical, mineralogical composition, using XRF, XRD, and other properties essential to determine feasibility of use as cementitious material. Ordinary Portland cement (OPC) was used with natural pozzolana from Swabi, Pakistan and high grade limestone (consisting of more than 95% calcium carbonate) from the quarry of Askari Cement, Nizampur, Pakistan. The chemical composition of OPC, natural pozzolana, and limestone employed in this work are shown in Table 1. It may be observed from Table 1 that the minimum requirement of oxides as per ASTM C618, i.e., the sum of silica, alumina, and iron oxides content should be greater than 70%, for natural poz- Table 1. Chemical composition (%) of the cement, pozzolana and limestone employed in experiments Material SiO2 Al2O3 Fe2O3 CaO MgO K2O N2O SO3 Cement 20.5 4.89 4.49 61.41 1.65 0.95 0.22 3.59 Pozzolana 70.61 11.97 0.69 1.95 0.61 4.06 0.0 0.09 Limestone 5.25 1.4 1.2 53.0 0.8 0.05 0.03 0.01 Figure 1. X-ray diffractogram of natural pozzolana. 42 M. IMRAN AHMAD et al.: SUSTAINABLE PRODUCTION OF BLENDED CEMENT… zolana is satisfied. The mineralogical composition of natural pozzolana is shown in Figure 1. The mineralogical composition as determined by X-ray diffraction bears similarity with the mineralogical composition of a natural pozzolana reported previously [15]. Pozzolana sample was also tested for loss on ignition using BS–FLS–2011–04 standard. The loss on ignition was 1.15%, satisfying the maximum of 10% specification of ASTM C618. It was concluded based on the loss on ignition that natural pozzolana under consideration could be mixed with clinker or cement without any drying through external heat source. The formulation of blended cement was varied by substitution of ordinary Portland cement with pozzolana ranging from 5 to 22%, while the limestone content was maintained constant at 5%. Ordinary Portland cement used was from Askari Cement Ltd., Nizampur, Pakistan, with fineness of 289.3 m2/kg and residue of 10% on 45 μm. Pozzolana and limestone were separately ground to 370 m2/kg and then mixed with ordinary Portland cement in specified ratios, as shown in Table 2. Mortar cubes were casted and tested for compressive strength at 7 and 28 days. Mortar cubes were prepared using 1:3 ratio of cement and sand, taking 200 g of cement and 600 g of sand. Cube dimensions were 70.1 mm×70.1 mm×70.1 mm. Curing of cubes was carried out at 27±2 °C water temperature in curing tank until the day of testing. Table 3 presents the composition, loss on ignition, specific surface area, i.e., Blaine and residue of various blends. Strength activity index (SAI) was calculated for all the blends to test for minimum specification of 75% as per ASTM C618. The strength activity index is defined as [22]: SAI = 100 A B (1) where A = average compressive strength of the blended cement mortar cubes and B = average compressive strength of the cement mortar cubes without any substitution. The effect of pozzolana substitution on power consumption was investigated by grinding clinker, pozzolana, high grade limestone and gypsum mix, and compared with grinding of clinker and gypsum in a laboratory ball mill. The ball mill consisted of a single chamber manufactured by Wuxi Building Material Instrument & Machinery Co, China. The laboratory ball mill had a diameter of 560 mm and length of 520 mm. The feed size was less than 30 mm as per the mill requirement. The installed motor was 1.5 kW Chem. Ind. Chem. Eng. Q. 22 (1) 41−45 (2016) while total quantity of grinding media was of 96 kg. Media sizes were 72 (12.56 kg), 63 (21.7 kg), 49 (22.06 kg) and 39 mm (10.64 kg). The dimensions of the cylinders were 27 mm, length 37 mm (17.17 kg), and diameter 25 mm, length 31 mm (11.87 kg). The feed quantity was 5 kg. The ball mill was drained at regular time intervals for sieve analysis using 600, 90 and 45 μm mesh as well as for Blaine fineness. Insoluble residue (IR) was determined by the BS–FLS– 20051–04 standard. RESULTS AND DISCUSSION The chemical composition of ordinary Portland cement, pozzolana, and limestone employed in this work is shown in Table 1. It may be observed from Table 1 that the minimum requirement of oxides as per ASTM C618, i.e., the sum of silica, alumina, and iron oxides content should be greater than 70%, for natural pozzolana is satisfied. The compressive strength (MPa) at 7 and 28 days of various blends is shown in Table 2. Table 2. Compressive strength of tested composite cement mortars Cement Pozzolana Limestone % % % 100 0 0 Compressive strength, MPa 7 days 28 days 54.7 61.8 90 5 5 44.3 58.3 85 10 5 41.3 52.5 80 15 5 40.0 49.6 73 22 5 37.1 48.3 The strength activity index calculated using Eq. (1) for various blends at 7 and 28 days is shown in Figure 2. It may be observed from Table 2 and Figure 2 that increasing the weight percentage of pozzolana above 10% while maintaining limestone percentage fixed at 5% resulted in violation of the ASTM C618 specification, i.e., below the specified limit of 75%. Alternatively, it may be noted that substitution of more than 15% of ordinary Portland cement, using pozzolana and limestone, in cement mortars resulted in significant loss of compressive strength at 7 days. The two blends (80/15/5 and 73/22/5) with significant loss of compressive strength at 7 days show a recovery of strength between 7 and 28 days, as shown by the satisfactory SAI value at 28 days. All the cement composite mortars showed an increase in compressive strength after 7 days indicating that between 7 and 28 days both the OPC hydration and pozzolanic hydration reactions contributed to strength development. The reduction in early strength development is char- 43 M. IMRAN AHMAD et al.: SUSTAINABLE PRODUCTION OF BLENDED CEMENT… Chem. Ind. Chem. Eng. Q. 22 (1) 41−45 (2016) Figure 2. Strength activity indices for composite cement mortars after 7 and 28 days. acteristic to use of natural pozzolans due to the need for longer duration of moist-curing. However, this shortcoming is partially addressed by addition of limestone filler, which accelerates the reactions in cement pastes and mortars [15]. The chemical composition and physical properties such as Blaine fineness and residue are shown in Table 3. loying a mix of clinker 68%, pozzolana 22%, limestone 5% and gypsum 5% and compared with the grinding to produce OPC, i.e., clinker 95% and gypsum 5%. The specific surface area obtained after regular time intervals for the ternary blended cement and OPC are shown in Table 4. Table 3. Chemical composition (%) and physical properties of blended cement composites Grinding time, min Table 4 Grinding test for OPC and blended cement 2 Component OPC/Pozzolana/Limestone blend Blaine fineness, m /kg OPC Blended cement 10 163.3 245.8 15 183.8 301.9 100/0/0 90/5/5 85/10/5 80/15/5 73/22/5 20 239.5 363.4 SiO2 20.5 22.84 25.65 28.22 32.48 25 275.3 408.5 Al2O3 4.89 5.21 5.79 6.3 7.15 Fe2O3 4.49 4.43 4.5 4.56 4.68 CaO 61.41 58.56 55.17 51.39 45.88 MgO 1.65 1.47 1.22 1.00 0.62 K2O 0.95 1.06 1.20 1.32 1.51 N2O 0.22 0.22 0.23 0.23 0.23 SO3 3.59 3.26 3.09 2.88 2.54 LOI 2.12 3.74 3.52 3.67 3.69 It may be observed from Table 4 that blended cement was easier to grind compared to OPC due to reduced percentage of clinker in blended cement. The grinding tests indicate that inter-grinding of pozzolana and limestone with clinker and gypsum in the cement mill may reduce the power consumption required to achieve the specified fineness for cement. CONCLUSIONS Physical properties Blaine fine2 ness, m /kg 289.3 330.6 335.6 342.2 361.2 Residue, % 8.50 10.80 12.60 14.40 15.40 It may be observed from Table 2 that the substitution of OPC with pozzolana and limestone results in reduction in early strength development. However, the specific surface area, i.e., Blaine fineness increases, indicating that pozzolana is a relatively soft additive. The partial substitution of OPC with pozzolana and limestone may also result in further saving in energy consumption through reduction in power consumption requirement in the cement mill for grinding of clinker and gypsum. The grinding test for blended cement was carried out in a laboratory ball mill emp- 44 In this paper, partial substitution of ordinary Portland cement with natural pozzolana from the Swabi district and limestone was investigated for production of ternary blended cement in Pakistan. Pozzolana percentage was varied from 5 to 22%, to substitute OPC, while maintaining a fixed percentage of limestone. It is concluded based on the results of compressive strength at 7 and 28 days that up to 15% OPC may be substituted with 10% pozzolana and 5% limestone in cement composites. The use of ternary blended cement composites in civil works would need further investigation to determine the long term strength development, i.e., after 28 days, as well durability through sulphate resistance, and permeability tests. M. IMRAN AHMAD et al.: SUSTAINABLE PRODUCTION OF BLENDED CEMENT… The power consumption required in the cement mill was inferred through investigation on a laboratory ball mill indicating that intergrinding of pozzolana and limestone with clinker and gypsum may reduce the overall power consumption of cement production. Chem. Ind. Chem. Eng. Q. 22 (1) 41−45 (2016) [9] J. Bai, B. Sabir, S. Wild, J.M. Kinuthia, Mag. Concr. Res. 52(2) (2000) 153-162 [10] R. Bleszynski, R.D. Hooton, M.D.A. Thomas, C.A. Rogers, ACI Mater. J. 99(5) (2002) 499-508 [11] M.F. Carrasco, G. Menendez, V. Bonavetti, E.F. Irassar, Cem. Concr. Res. 35(7) (2005) 1324-1331 Acknowledgement [12] The support of Askari Cement, Nizampur, Pakistan is acknowledged for providing assistance in testing of composition and properties of samples. J.M. Khatib, J.J. Hibbert, Constr. Build. Mater. 19(6) (2005) 460-472 [13] Z. Li, Z. Ding, Cem. Concr. Res. 33(4) (2003) 579-584 [14] G. Menendez, V. Bonavetti, E.F. Irassar, Cem. Concr. Compos. 25(1) (2003) 61-67 REFERENCES [15] M. Ghrici, S. Kenai, M. Said-Mansour, Cem. Concr. Compos. 29 (2007) 542-549 [1] S.H. Kosmatka, B. Kerkhoff, W.C. Panarese, N.F. Macleod, R.J. McGrath, Design and Control of Concrete Mixth ture, 7 ed., Portland Cement Association, Skokie, IL, 2002 [16] V.L. Bonavetti, V.F. Rahhal, E.F. Irassar, Cem. Concr. Res. 31(6) (2001), 853-859 [17] M. Heikal, H. El-Didamony, M.S. Morsy, Cem. Concr. Res. 30(12) (2000) 1827-1834 [2] ACI, ACI Mater. J. 91(4) (1994), 410-426 [18] [3] P.K. Mehta, ACI SP-178, Farmington Hills, MI, 1998, pp. 1-25 G. Kakali, S. Tsivilis, E. Aggeli, M. Bati, Cem. Concr. Res. 30(7) (2000) 1073-1077 [19] A.M. Neville, Properties of Concrete, 3 Harlow, 1981 rd ed.,. Pearson, [4] P.K. Mehta, Cem. Concr. Res. 11 (1981) 507-518 [5] F. Massazza, Cem. Concr. Compos. 15(4) (1993) 185-–214 [20] [6] A. Tagnit-Hamou, N. Pertove, K. Luk, ACI Mater. J. 100(1) (2003) 73-78 J. Mirza, M. Riaz, A. Naseer, F. Rehman, A.N. Khan, Q. Ali, Appl. Clay Sci. 45 (2009), 220-226 [21] [7] L. Turanli, B. Uzal, F. Bektas, Cem. Concr. Res. 35 (2005) 1106-1111 A.H. Kazmi, S.G. Abbas, Metallogeny and Mineral Deposits of Pakistan, Orient Petroleum Inc., Islamabad, 2001 [8] B. Uzal, L. Turanli, Cem. Concr. Compos. 34 (2012) 101–109 [22] ASTM, Standard Specification for Coal Fly Ash and Raw or Calcined Natural Pozzolan for Use in Concrete. C618-08a. ASTM International, West Conshohocken, PA, 2008. MUHAMMAD IMRAN AHMAD1 MUHAMMAD SAJJAD1 IRFAN AHMED KHAN2 AMINA DURRANI2 ALI AHMED DURRANI1 SAEED GUL1 ASMAT ULLAH1 1 Department of Chemical Engineering, University of Engineering and Technology, Peshawar, Pakistan 2 Qadir Enterprises, Peshawar, Pakistan NAUČNI RAD ODRŽIVA PROIZVODNJA CEMENTNE MEŠAVINE IZ PAKISTANA UZ DODATAK PRIRODNOG PUCOLANA U ovom radu istraživana su nalazišta pucolana u oblasti Svabi (Swabi, Pakistan), radi parcijalne zamene portland cementa uz dodatak krečnjaka kao punioca. Komponente su mešane u različitim odnosima, a uzorci betona su testirani na pritisnu čvrstoću posle 7 i 28 dana. Indeks pritisne čvrstoće (SAI) za mešavine od 10% pucolana i 5% krečnjaka posle 7 i 28 dana bio je 75,5 i 85,0%, redom, što zadovoljava minimalnu SAI granicu prema ASTM C618. Smeša sa 22% prirodnog pucolana i 5% krečnjaka je samlevena sa klinkerom i gipsom u laboratorijskom kugličnom mlinu radi poređenja potrošnje energije sa običnim portland cementom (OPC) (95% klinkera i 5% gipsa). Trojnoj cementnoj mešavini je trebalo manje vremena da se postigne ista finoća kao OPC zbog prisustva mekih faza pucolana i visokog udela krečnjaka, što pokazuje da je moguće smanjiti ukupnu potrošnju energije. Evidentno da proizvodnja cemente mešavine, koristeći prirodni pucolan i krečnjak, može da smanji potrošnju energije i emisiju gasova staklene bašte. Ključne reči: trojna cementna mešavina, prirodni pucolan, krečnjački punioc, proizvodnja cementa. 45 Available on line at Association of the Chemical Engineers of Serbia AChE www.ache.org.rs/CICEQ Chemical Industry & Chemical Engineering Quarterly Chem. Ind. Chem. Eng. Q. 22 (1) 47−53 (2016) YUEHAO LUO1 ROBERT SMITH2 LORK GREEN3 1 School of Engineering and Applied Science, The George Washington University, Washington D.C., USA 2 College of Applied Sciences and Technology, Ball State University, Muncie, IN, USA 3 School of Engineering, Boston University, Boston, MA, USA SCIENTIFIC PAPER UDC 678.686:544:66 DOI 10.2298/CICEQ150119018L CI&CEQ EXPLORING INSTANTANEOUS MICRO-IMPRINTING TECHNOLOGY ON SEMI-CURED EPOXY RESIN COATING BASED ON RELATIONSHIP BETWEEN FORMING PRECISION AND CURING DEGREE Article Highlights • Micro-dimple imprinting method is explored and adopted • Relationship between plastic deformation capacity and curing degree is investigated • Instantaneous micro-imprinting method is exploited • Forming precision of instantaneous micro-imprinting can surpass 90% Abstract Nano/micro-imprinting technology based on polymer material coating has attracted increased attention throughout the world in the past several decades, and it is at present progressively developing into a hot topic, in which how to improve the manufacturing efficiency is becoming the urgent issue to be resolved. Polymer’s curing process is exactly complicated and sophisticated, which involves simultaneously performing physical and chemical changes, when the curing reaction reaches certain level, the system will abruptly transform into insoluble, non-melting gel with rapidly increased viscosity and rigidity, which can generate fixed deformation under persistent external pressure. In this paper, the plastic deformation capacity of epoxy resin in the curing process is investigated by the micro-dimple imprinting experiment, and the relationship between forming precision and curing degree is ascertained adopting the DSC (differential scanning calorimetry) method. In addition, the instantaneous micro-imprinting technology based on the micro-grooves is explored, and the experimental results indicate that the forming precision can surpass 90%. The paper will establish a novel avenue for application of the nano/micro imprinting technology into practical engineering. Keywords: polymer material, semi-cured, DSC, micro-imprinting,micro grooves, forming precision. Entering the 21st century, with the increasingly serious energy crisis and climate warming, saving energy and reducing emission of greenhouse gases has turned into an important issue, in which lowering the friction force on the contact surfaces between moving objects can take a critical role. For protecting surfaces from corrosion and obtaining the smoothness, polymer coatings have been widely exploited in Correspondence: Y. Luo, School of Engineering and Applied Science, The George Washington University, Washington D. C., 20052, USA. E-mail: luoyuehao1985@163.com; luoyuehao@gwu.edu Paper received: 19 January, 2015 Paper revised: 18 May, 2015 Paper accepted: 13 June, 2015 fluid engineering applications, such as natural gas pipelines, navigation, agriculture, industry, airplanes, everyday life, etc. [1-3]. It has been illustrated that bio-inspired micro-structured morphology has the apparent drag-reducing effect in turbulence with smooth skin as baseline [4, 5]. Expanding the applications of bio-inspired drag-reducing technology to coating surfaces is an effective way to reduce friction force and conserve resources. Traditional imprinting methods with micro-textures have been explored and investigated comprehensively; however, for the purpose of holding the perfect forming effect, long duration with persistent external pressure is imperative [6]. This can lower the manufacturing efficiency and restrict the practical engineering applications; there- 47 Y. LUO et al.: EXPLORING INSTANTANEOUS MICRO-IMPRINTING… fore, new and feasible manufacturing ways should be researched further. For the current nano/micro imprinting methods, the time-points exerting pressure on semi-cured coatings are not concentrated into the short time-zone [7-9], and the consequence is that the duration should be very long to maintain the high forming precision. Reducing the duration for improving the manufacturing efficiency has thus developed into an urgent problem. If the duration could be condensed into the time of polymer padding into the hollows of the mold, while obtaining satisfactory forming precision after curing, the manufacturing efficiency will improve greatly with good machining quality. Therefore, ascertaining the most appropriate time-points to exert instantaneous pressure on the semi-cured coating in the curing process is a critical issue. In this article, the relationship between forming precision and curing degree is investigated by the micro-dimple imprinting experiment, and the instantaneous micro imprinting technology is preliminarily explored adopting the micro-grooved mol. The results show that when the curing degree is located into 0.8-0.9, the coating has the best plastic deformation capacity, and forming precision can be more than 90%. Chem. Ind. Chem. Eng. Q. 22 (1) 47−53 (2016) MATERIALS AND METHODS Curing of epoxy resin The curing and cross-linking mechanism of thermosetting epoxy resin is very complex and intricate. The chemical kinetics and physical interactions both exist in the curing process [10-12], which has so far not been understood thoroughly. The phenomenological method is the most popular and commonly adopted in studying epoxy resins. The following semiempirical formula, which has laid the basic foundation to investigate the curing mechanism of epoxy resin, has been applied widely [13]: dα E = A0 exp − a (1 − α )n dt RT where: α is the curing degree, t is the duration time, A0 is the frequency factor, Ea is the activation energy, R is the universal gas constant, T is the absolute temperature, and n is the reaction cardinal number. The epoxy resin used in this paper (AW-01 epoxy resin) can be cured completely at temperature higher than 30 °C. SEM images of the epoxy resin coating at curing temperatures 40-100 °C are shown in Figure 1a-d. It can be seen that the internal structure of the epoxy resin cured at 45 °C is more meti- Figure 1. SEM images and wear scars of epoxy resin coating curing at different temperatures. 48 (1) Y. LUO et al.: EXPLORING INSTANTANEOUS MICRO-IMPRINTING… culous than that cured at 95 °C. In order to validate the wear property, wearing experiments were conducted on an SRV machine (produced in Germany). The schematic drawing and key parts of the tester are shown in Figures 2 and 3. In the experiment, the force exerted on the smooth steel ball was 25 N, the stroke of the rectilinear reciprocating movement was set as 1.6 mm, the frequency was 15 Hz, and the wear scars corresponding with the internal structures are illustrated in Figures 1a-1d. It can be concluded that with decreasing curing temperature, the width of wear scars drops from 2.51 to 1.87 mm, which implies that the anti-wear property of epoxy resin is gradually improved. Additionally, finer structures can enable better mechanical and chemical properties, such as anti-corrosion, tensile strength, anti-acid, hardness, roughness, etc. [14-16]. Therefore, the curing temperature of 45 °C was used in this paper. Chem. Ind. Chem. Eng. Q. 22 (1) 47−53 (2016) Micro-dimple imprinting To ascertain the plastic deformation capacity of epoxy resin at different time-points, the micro-dimple imprinting experiment is designed and as shown in Figure 4. The system was comprised of parallel light, coating sample, substrate, convex lens imaging system, displaying screen, rigid probe, etc. The basic steps of the micro-dimple imprinting experiment are as follows: 1) exerting instantaneous displacement on the semi-cured coating surface by the rigid probe; 2) epoxy resin coating gradually becomes cured; 3) measuring the depth of microdimple by the precise scanning method. The forming precision of the imprinting experiment is defined as the ratio of depth of micro-dimple and instantaneous displacement. The feeding displacement of rigid probe can be exactly exerted by the screw rotation with the precision of 1 μm. In the experiment, the epoxy resin is covered on the plat aluminum substrate by the airless spraying method, and the depth of liquid film is 300 µm, which can be measured by the liquid film gauge, as shown in Figure 5. The threedimensional morphology and parameters on cured epoxy resin coating can be obtained by the highly precise scanning, as shown in Figure 6a-c. Figure 2. Schematic drawing of wearing testing experiment. Figure 5. Measuring the depth of epoxy resin liquid film. The obtained results from experiments in which the curing temperature is fixed at 45 °C and duration is varied are displayed in Table 1. It can be concluded that with increasing duration, the forming precision Figure 3. Key parts of SRV wearing tester. Figure 4. Schematic diagram of micro-dimple imprinting method. 49 Y. LUO et al.: EXPLORING INSTANTANEOUS MICRO-IMPRINTING… Chem. Ind. Chem. Eng. Q. 22 (1) 47−53 (2016) Figure 6. Three-dimensional morphologies on cured epoxy resin coating. Table 1. Results of micro-dimple imprinting experiments; T = 45 °C Duration, min Depth of dimple, μm Forming precision, % Duration, min Depth of dimple, μm Forming precision, % 100 145.2 72.6 114 180.8 90.4 102 156.2 78.1 115 180.6 90.3 105 172.2 86.1 117 180.4 90.2 107 174.2 87.1 118 180.2 90.1 110 179.8 89.9 119 180.0 90.0 111 180.4 90.2 120 179.0 89.5 112 181.2 90.6 121 176.6 88.3 113 182.2 91.1 122 176.0 88.0 first increases and then decreases gradually. Moreover, the maximum of forming precision can be greater than 90%. Differential scanning calorimetry (DSC) For studying the properties and characteristics of epoxy resin system more comprehensively, the kinetics of the curing reaction were monitored by a differential scanning calorimeter (DSC) and investigated by the constant heating method, which is an important basis of composite materials forming technology and can supply the basic theoretical foundation [18-22]. DSC is the most popular phenomenological method to explore and investigate the curing kinematics of epoxy resin, which mainly involves two operation models: isothermal DSC and dynamic DSC [23,24]. The isothermal DSC can obtain the reaction heat at some certain temperature, the dynamic DSC can obtain the reaction heat (ΔHtotal) or the residual reaction heat (ΔHres). In addition, the glass transition temperature can be measured by the shift of the baseline. The isothermal DSC experiment was conducted at 45 °C. RESULTS AND DISCUSION Relationship between different parameters When the forming precision is greater than 90%, it can be regarded as the best plastic deformation 50 capacity. The relationship between forming precision, curing degree and heat flow is shown in Figure 7, indicating that the best plastic deformation corresponds to the curing degree (α) range of 0.8-0.9. Furthermore, with increasing curing degree, the forming precision first increases and reaches a maximum, and then decreases. The measured hardness of semi-cured coating fitting to exert the external pressure varied from 68-72 HA (Figure 8). Exploration on instantaneous micro-imprinting technology Bio-inspired micro-structured surfaces have an apparent drag reduction effect in turbulent flowing conditions [25-29], and have extensively been put into application in fluid engineering [30, 31]. However, the practical applications are limited by the manufacturing efficiency to some extent. The instantaneous microimprinting technology with micro-grooved mold is preliminarily exploited to improve the manufacturing efficiency according the aforementioned conclusion. If the operating time is not enough, the polymer will not fill the hollows of the mold completely [32]. Meanwhile, if the operating time is too long, the imprinting efficiency will be affected and restricted. The equation for shortest duration required for filling the hollows completely has been derived by Heyderman [33]: tf = η0S 2 1 1 ( − ) 2P hf2 h02 (2) Y. LUO et al.: EXPLORING INSTANTANEOUS MICRO-IMPRINTING… Chem. Ind. Chem. Eng. Q. 22 (1) 47−53 (2016) Figure 7. Relationship between heat flow rate, forming precision and curing degree. where tf is the duration, η0 is the viscosity of polymer, S is area of pattern, P is the pressure, h0 is the height of the pattern before imprinting, and hf is the height of pattern after imprinting. When the curing degree of epoxy resin is 0.8-0.9, the duration tf is 0.25-0.35 s. In the experiments, the operating time was about 1 s, which was greater than the filling time and much less than that of available imprinting. The images of micro-grooved mold and cured micro-structured coating morphology are shown in Figure 9a and b, and the cross section curves are illustrated in Figure 10a and b. It can be seen that the depth and semi-width of micro-grooved mold were 41.4 and 95.3 µm, and those of the coating surface were 38.3 and 95.3 µm, respectively. From the forming precision analysis (Figure 11), it can be concluded that the forming errors only exist in the vertical direction (forming precision can be more than 90%, 38.3/414×100 = = 92.5%), and there is no error in the horizontal direction. Figure 8. Measuring the hardness of semi-cured epoxy resin. Figure 9. Three-dimensional morphology of micro-grooved model and imprinted coating. 51 Y. LUO et al.: EXPLORING INSTANTANEOUS MICRO-IMPRINTING… Chem. Ind. Chem. Eng. Q. 22 (1) 47−53 (2016) Figure 10. Cross section curves of micro-grooves and morphology on imprinted coating. Figure 11. Forming precision analysis of instantaneous micro-imprinting technology. CONCLUSIONS REFERENCES In this paper, the relationship between plastic deformation capacity and curing degree was investigated by the micro-dimple imprinting experiment, and the following conclusions can be drawn: 1) When the curing degree is located in the range of 0.8-0.9, the forming precision can be greater than 90% and the epoxy resin has the best plastic deformation capacity. 2) The relationships between forming precision, curing degree and heat flow rate are ascertained for the first time. With increasing curing degree, the forming precision first increases and reaches a maximum, and then decreases. 3) The instantaneous micro-imprinting technology adopting the micro-grooved template was preliminarily explored, and the experimental results showed that it has good forming effect and quality. The forming precision in the horizontal direction is about 100%, and the forming precision in the vertical direction is greater than 90%. [1] J. Wu, G. Huang, Q. Pan, J. Zheng, Y. Zhu, B. 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YUEHAO LUO1 ROBERT SMITH2 LORK GREEN3 1 School of Engineering and Applied Science, The George Washington University, Washington D.C., USA 2 College of Applied Sciences and Technology, Ball State University, Muncie, IN, USA 3 School of Engineering, Boston University, Boston, MA, USA NAUČNI RAD ISTRAŽIVANJE TEHNOLOGIJE TRENTUNOG MIKRO-ŠTAMPANJA NA POLUOČVRSLIM PREMAZIMA EPOKSI SMOLA ZASNOVANIM NA ZAVISNOSTI IZMEĐU PRECIZNOSTI OBLIKOVANJA I STEPENA OČVTŠĆAVANJA Tehnologija nano/mikro-štampanja baziranim na premazima polimernih materijala privlači sve veću pažnju širom sveta u poslednjih nekoliko decenija, da bi danas postala top tema u kojoj je kako poboljšati efikasnost proizvodnje urgentan problem koji treba rešiti. Proces očvršćavanja polimera je komplikovan i sofisticiran postupak, koji uključuje istovremeno obavljanje fizičkih i hemijskih promena. Kada reakcija očvršćavanja dostigne određeni nivo, sistem se naglo transformiše u nerastvorljiv i netopljiv gel sa naglo povećanim viskozitetom i rigidnošću, koji mogu da dovedu do stalne deformacije pod stalnim spoljašnim pritiskom. U ovom radu, kapacitet plastične deformacije epoksidne smole u procesu očvršćavanja je praćen utiskivanjem mikro-otisaka, a odnos između preciznosti oblikovanja i stepena očvršćavanja je utvrđen metodom diferencijalne skaning kalorimetrije. Pored toga, proučavana je i tehnologija trenutnog mikro-štampanja zasnovana na pravljenju mikro-otisaka, a eksperimentalni rezultati ukazuju da preciznost oblikovanja može biti preko 90%. Rad utvrđuje novi put primene tehnologije nano/mikro štampanja u praktičnom inženjerstvu. Ključne reči: polimerni material, semi-čvršćavanje, diferencijalna skaning kalorimetrija; mikri-štampanje, mikro-otisci, preciznost oblikovanja 53 Available on line at Association of the Chemical Engineers of Serbia AChE www.ache.org.rs/CICEQ Chemical Industry & Chemical Engineering Quarterly Chem. Ind. Chem. Eng. Q. 22 (1) 55−64 (2016) ZORANA BOLTIĆ1 MIĆA JOVANOVIĆ2 SLOBODAN PETROVIĆ2 VOJISLAV BOŽANIĆ3 MARINA MIHAJLOVIĆ4 1 Hemofarm A.D, Vršac, Serbia 2 Faculty of Technology and Metallurgy, University of Belgrade, Belgrade, Serbia 3 Faculty of Organizational Sciences, Belgrade, Serbia 4 Innovation Centre of the Faculty of Technology and Metallurgy, University of Belgrade, Belgrade, Serbia SCIENTIFIC PAPER UDC 615:66:338.45 DOI 10.2298/CICEQ150430019B CI&CEQ CONTINUOUS IMPROVEMENT CONCEPTS AS A LINK BETWEEN QUALITY ASSURANCE AND IMPLEMENTATION OF CLEANER PRODUCTION – CASE STUDY IN THE GENERIC PHARMACEUTICAL INDUSTRY Article Highlights • CI as a relationship between QA and CP implementation in the generic pharmaceutial industry • Application of Lean and Six Sigma tools for process improvement and link to other known concepts • Evaluation of the production systems in terms of CI, considering both quality and efficiency Abstract The subject and the research objective presented in this article is establishing of the relationship between quality assurance and implementation of cleaner production in the generic pharmaceutical industry through the comprehensive concept of continuous improvement. This is mostly related to application of Lean and Six Sigma tools and techniques for process improvement and their link to other known concepts used in the industrial environment, especially manufacturing of generic pharmaceutical products from which two representative case studies were selected for comparative analysis, also considering relevant regulatory requirements in the field of quality management, as well as appropriate quality standards. Although the methodology discussed in this conceptual and practice oriented article is strongly related to chemical engineering, the focus is mainly on process industry, i.e., production systems, rather than any specific technological process itself. The scope of this research is an engineering approach to evaluation of the production systems in terms of continuous improvement concepts application, considering both quality aspects and efficiency of such systems. Keywords: quality assurance, cleaner production, pharmaceutical industry, continuous improvement, lean, six sigma. The present article is based on the application of specific continuous improvement techniques on relevant performance measures (PM) of different processes in the pharmaceutical industry and evaluation of their effectiveness in the actual industrial environment [1,2]. The processes that are studied in this work are related to design and operation of the equipment, as well as to the flow of the manufacturing Correspondence: M. Jovanović, Faculty of Technology and Metallurgy, University of Belgrade, Karnegijeva 4, 11000 Belgrade, Serbia. E-mail: mica@tmf.bg.ac.rs Paper received: 30 April, 2015 Paper revised: 17 June, 2015 Paper accepted: 15 November, 2015 process of the products under consideration, but also to quality systems relevant for production of pharmaceuticals. This implies optimization techniques of process design versus treatment processes (including techno-economic analysis) with the aim of introducing cleaner process technologies and how it relates to the improvement of the quality systems as well. Continuous improvement techniques also represent a part of chemical engineering, but in the sense of process industry, i.e. in the area of production systems, rather than any individual technological process. An original and novel approach is applied to the evaluation of industrial processes, as well as a new industrial engineering methodology and its application in practice is 55 Z. BOLTIĆ et al.: CONTINUOUS IMPROVEMENT CONCEPTS… Chem. Ind. Chem. Eng. Q. 22 (1) 55−64 (2016) studied through the evaluation of the production systems, which are determined both by their capacities and quality aspects. The scope is therefore the processes in the generic pharmaceutical industry, which, as such, has certain specificities that have to be considered when evaluating the applicability of certain techniques in the area of continuous improvement. Pharmaceutical industry is involved in development, production and marketing of drugs, i.e., pharmaceutical products approved by relevant regulatory authorities. Pharmaceutical companies can have their own research and development – originators, i.e., innovators, or produce generic drugs – products bioequivalent to the innovator’s, i.e., comprising the same medicinal or therapeutic substances as the original drug. Pharmaceutical companies based on their own development made a significant progress in treatment of numerous diseases, but increasing healthcare costs over time also resulted in the increased use of generic drugs with certain advantages over more expensive original drugs, especially among the poorer population of patients. Because of this, generic pharmaceutical production represents a significant portion of the world pharmaceutical industry. Either based on its own development or generic, pharmaceutical industry is regulated through numerous laws and regulations in the area of patenting, testing and ensuring safety and efficiency of drugs, i.e., product release to the market. The aim of this work is to evaluate the relationship between process performance measurement with key indicators of success on the company level and the concept of introducing cleaner production principles in the generic pharmaceutical industry, linked to the continuous improvement programs. effectively make decisions. Selection of the appropriate key performance indicators, as well as measurement methodologies, represents a critical factor for the success of measurement and analysis procedures. In the new philosophy of sustainability, the concept of sustainable development is replaced with the term sustainable success, as a result of the organization's ability to achieve and maintain long-term goals, and this is the main novelty in revised standard ISO 9004: 2009 [3] in relation to the second revision of this standard [4]. ISO 9001 [5] specifies the requirements for the quality management system and is focused on its effectiveness in complying with customer requirements. ISO 9004 gives additional guidance for the organizations willing to move further than these requirements, to solving the needs and expectations of all interested parties and their satisfaction through systematic and continuous performance improvement. Therefore, it represents a powerful tool for the management, and the sustainable success of the organization is developed through its capability to satisfy needs and expectations imposed by its customers and other interested parties in a balanced way and over a long period of time. Self-assessment is used to identify areas for improvement and innovation, establish priorities and develop action plans aimed at sustainable success. The results of the organization's evaluation according to ISO 9004 may represent a valuable input for management review as required by ISO 9001 (i.e., for information review from monitoring, measurement and analysis, as stipulated in ISO 9004:2009), but this self-assessment process also has a certain potential to be a learning tool enabling the improved involvement of interested parties whose needs and expectations have to be properly understood, as the key element of the organization's maturity model. Cleaner production and eco-efficiency are part of the consideration in the area of the environment, as prescribed by the social responsibility standard. These are the strategies for satisfaction of human needs through more efficient utilization of resources and producing less pollution and waste. Significant focus is to introduce the improvements at the source instead at the end of process or activity. Cleaner and safer production, as well as eco-efficiency approaches include also the improvement of the sustainable practice, introducing new technologies or processes with lower consumption of material and energy (i.e., utilization of its renewable resources) and rationalization of water consumption. Cleaner production assumes elimination or safe management of toxic and hazard- THEORETICAL PART It is a well known fact that pharmaceutical production is one of the most regulated industrial sectors and that quality is the key factor that determines each manufacturing system, including product characteristics, its appearance, duration, maintenance, but also its supply and relevant documentation. For the purpose of achieving sustainable success, the organizations regularly measure, analyse and review their performance, including evaluating the progress in achieving planned results compared to their mission, vision, policies, strategy and goals on all levels and in all relevant processes and functions in the organization. Measurement and process analysis is used to track this progress, gather and have all the necessary information available to evaluate performance and 56 Z. BOLTIĆ et al.: CONTINUOUS IMPROVEMENT CONCEPTS… Chem. Ind. Chem. Eng. Q. 22 (1) 55−64 (2016) ous materials/wastes, as well as improvement of the products and services projects. Cleaner production in general represents a contemporary approach in preventing the creation of pollution that provided the greatest contributions in the production sector, especially in industry [6]. Six Sigma approach to continuous improvement uses the methodology known as DMAIC (Define, Measure, Analyze, Improve, Control) for process improvement from beginning to end [7]. In each of these phases, appropriate tools are being used, such as project plan, SIPOC (Supplier, Input, Process, Output, Customer), process mapping and different team management techniques in the define phase, measurement system analysis, histogram and Pareto in measure, FMEA (Failure Mode and Effects Analysis), “5 whys” and fishbone diagram for cause-and-effect analysis, statistic process control and control charts in the control phase of the implemented improvements. According to well known statistical principles, sigma represents a Greek letter for standard deviation showing how much the measured results are distant from the average of the observed set of data, i.e., representing a measure of process variability and its capability to work without errors and as little variation as possible. Measures are necessary in order to determine whether the process of interest is stable and predictable, as well as how much variation is present [8]. Six Sigma means that the interval between both upper and lower limit of the process specification and the average of the results obtained from that actual process is 6 standard deviations. This number of standard deviations is inversely proportional to the probability of defects and in fact illustrates how much of the obtained results is within the interval required by the customer, i.e. increasing the sigma level of the process decreases the cost and increases productivity and customer satisfaction. In order to state that a process is “sigma” it is not allowed to have more than 3.4 defects per million opportunities [9], therefore six sigma virtually represents a measure of quality practically aiming for perfection. ISO/TR 10017:2003 also provides guidance on the selection of appropriate statistical techniques that may be useful to an organization in developing, implementing, maintaining and improving a quality management system in compliance with ISO 9001 [10]. Lean, on the other hand, is a concept originating from Toyota in the 1950s and representing a common sense and practical approach to solving problems with the focus on identifying and eliminating waste from the process. Over the years, Toyota started a global transformation in almost all industry sectors in accordance with Lean philosophy in the area of manufacturing and supply chain [11]. There are seven common forms of waste, namely: transport, inventory, movement, waiting, over-production, over-processing and defects, and one of the tools introduced by the Lean methodology is Kaizen (Ky = change and Zen = = for the better, generally being translated as continuous improvement through solving problems). Kaizen is a quick, intensive look at the process with the aim of improvement. It gathers customers, suppliers, support and people performing the work, where the latter is key for its success. The actual process is observed and waste identified and eliminated through establishing a new process but as a continuous effort rather than reaching perfection in one step. Production system established in Toyota is the starting basis for numerous literature sources in this field, including The Machine That Changed the World: The Story of Lean Production [12] and Lean Thinking [13]. The international conference on harmonisation of technical requirements for registration of pharmaceuticals for human use (ICH) in its guidance Q10 [14] describes one comprehensive model for an effective pharmaceutical quality system that is based on International Organization for Standardization (ISO) quality concepts, includes applicable good manufacturing practice (GMP) regulations, and complements ICH “Q8 Pharmaceutical Development” and ICH “Q9 Quality Risk Management.” ICH Q10 is a model for a pharmaceutical quality system that can be implemented throughout the different stages of a product lifecycle. Much of the content of ICH Q10 applicable to manufacturing sites is currently specified by regional GMP requirements. Implementation of ICH Q10 throughout the product lifecycle should facilitate innovation and continual improvement and strengthen the link between pharmaceutical development and manufacturing activities. In this work, the selected criteria used to determine the existence of either Lean or Six Sigma approach (or both) in the case studies subject to evaluation are as follows: 1) data based approach/performance measurement, 2) link to the customer, 3) proactive thinking and 4) tools and techniques. Additionally, the link between the processes subject to relevant case studies (quality assurance – QA and cleaner production – CP) was analyzed against relevant regulatory requirements and quality standards. CASE STUDY Starting hypotheses are based on the importance of measurement as the key element to control, 57 Z. BOLTIĆ et al.: CONTINUOUS IMPROVEMENT CONCEPTS… Chem. Ind. Chem. Eng. Q. 22 (1) 55−64 (2016) manage and improve processes on one side and the link of continuous improvement to the cleaner production concept in the industrial environment on the other. Performance measurement represents the basis of most continuous improvement programs, enabling for example the implementation of cleaner production step by step, using appropriate tools and techniques. This is especially true for generic pharmaceutical industry where it is necessary to change technological procedures in a highly regulated environment in contrast to minimizing harmful effects of the production processes in the end-of-pipe approach. Therefore, the scope of this study is to evaluate the following: • Performance measurement system represents the comparison of the current values with the predefined objectives and enables feedback to the participants in the process - this approach should result in the improvement of the quality management system and continual adjusting of the performance measures. • Implementation of the continuous improvement program based on process performance measurement leads to decreased costs related to different forms of waste, i.e., redundant engagement of resources. • Efficient elimination of waste from the processes with positive effects on quality, environment, working conditions and social responsibility at the same time, can be accomplished through a unique approach of the continuous improvement program implementation, introducing step by step improvements in individual areas. This evaluation is performed using the examples of quality assurance processes [1] as the case study CS I, and dealing with volatile organic compounds (VOCs) emissions, as one of the challenges for the implementation of cleaner production in the generic pharmaceutical industry [2], as the case study CS II. Description of the analyzed case studies CS I in the area of quality assurance was aimed to evaluate the implementation of the modern approach based on measures and key performance indicators in a pharmaceutical company using the example of the delivery time improvement through decreasing the number of deviations and time spent on unnecessary investigations. Problems subject to the analysis were identified in both cases based on relevant information and data available in the industrial information system related to actual processes, and appropriate corrective actions and suggested improvements were implemented through the described improvement projects. Results were discussed relative to the previously established objectives: in the area of quality assurance, significant decrease of total number of deviations was shown – more than 50% [1]. On the other hand, as CS II for introducing the cleaner production principles into the processes within the generic pharmaceutical industry, the case of tablets coating was selected, as one of the most common and widely used operation in the pharmaceutical production in general. The conclusion was made that the option of preventing pollution through modifying the formulation has a significant advantage both considering financial benefits and minimization of waste, i.e. negative impact on the environment [2]. Data based approach/Performance measurement In CS I, methods used for gathering the information related to key performance indicators (KPI) are selected as feasible and appropriate for the organization, which is also one of the requirements in ISO 9004:2009 (Figure 1). On the other hand, the KPI is Figure 1. Main characteristics of the key indicators, performance measures and data analysis performed. 58 Z. BOLTIĆ et al.: CONTINUOUS IMPROVEMENT CONCEPTS… Chem. Ind. Chem. Eng. Q. 22 (1) 55−64 (2016) selected to enable its quantification and make feasible to the organization to set measurable goals, identify, monitor and predict trends and implement corrective, preventive and improvement measures, as needed. It is important to ensure that measurable and reliable information are available for the implementation of these corrective actions when the performance is not in compliance with the previously established goals. As efficient utilization of resources is also one of the requirements that need to be assured by the management system, it is shown in the CS II that the processes are established to monitor and optimize these resources in order to ensure their effective and efficient use. Therefore, the organization continually measures their current utilization to identify opportunities for the improvement in this area. In addition, the environmental impact was measured as part of continual monitoring to enable the organization to identify and implement the appropriate risk management in this area. Organization performance measurement thus represents an important source of data for a systematic approach to evaluation of the available information to assure that this information serves as a basis for making important decisions. Improvement, innovations and learning can be applied on products, processes and technology, as well as on organizational structures, management systems, infrastructure and work environment and the basis for this is the capability of the organization to draw conclusions based on relevant data analysis. One of the key benefits of continuous improvement, besides improving performance through enhanced capability of the organization and harmonizing the improvement activity at all levels, in accordance with its strategic orientation, is the adaptability, i.e., flexibility to respond fast enough to opportunities, mostly in terms of increased competitiveness on the market. Security management within the supply chain for which the KPI is selected for evaluation in CS I is related to numerous other business aspects, and relevant requirements covering these management systems are defined in ISO 28001:2007 [15]. According to this standard, the supply chain represents the interlinked ensemble of resources and processes beginning with the source of raw materials, through product and/or services supplied to the end user by means of different kinds of transport. The system of supply chain managements in the CS I is also subject to continuous improvement. Cleaner production as a concept evaluated in CS II can be indirectly linked to the population of pharmaceutical industry customers through sustainable development taking care of limited environmental capacity to receive a specific quantity of waste, mostly related to industrial pollution. The relationship between the elements of procurement, production and the consumers in a broader sense is shown implying the need to develop preventive activities through the product life cycle. This is additionally supported by the fact that cleaner production represents an application of the comprehensive preventive strategy of environmental protection on the production processes, products and services with the aim to increase overall efficiency and decrease health and environmental risks (UNEP), meaning preservation of resources, water and energy, reduced application of toxic and hazardous raw materials and reduced quantities and toxicity of all emissions and wastes at the source of the production process instead of the End-of-Pipe technologies (Figure 3). Cleaner production does require significant changes in the organization and its processes. This Link to the customer In the CS I the selected KPI is decomposed as a performance indicator in relevant functions and levels in the organization to support reaching the higher level objectives in line with the strategy and corporate policies (Figure 2). Strategic goals Management Review Business Strategy Key Performance Indicators Processes Continuous Improvement Performance measures Figure 2. Link between strategic goals, key indicators and performance measures. 59 Z. BOLTIĆ et al.: CONTINUOUS IMPROVEMENT CONCEPTS… Chem. Ind. Chem. Eng. Q. 22 (1) 55−64 (2016) Figure 3. Example of EOP – a typical adsorption process for VOCs [16]. can be accomplished through an approach that can bring benefits to all interested parties, which is also shown based on the techno-economic analysis performed as part of CS II. Proactive thinking Processes and their relationships, as shown in CS I, are regularly reviewed and appropriate actions are taken for their improvement. In the course of planning and management of these processes, the organization's environment was considered and analyzed, mostly taking into account relevant regulatory and other requirements. The planning process according CS I considers the established needs of the organization to develop or apply new process characteristics as an added value, which at the same time represents one of the requirements of ISO 9004:2009. In CS II, the focus is on process optimization and new technologies. When it comes to the infrastructure which is planned, enabled and managed by the organization in an efficient and effective manner, appropriate attention is also given to safety and protection, the elements of this infrastructure linked to production processes, as well as its impact on the working environment, overall efficiency, costs and capacities. At the same time, working environment is evaluated in accordance with applicable laws and other regulations in the field of environmental, health and safety management. Therefore, technological opportunities were considered in CS II to improve organization performance in different areas, including product realization and interaction with interested parties. It is shown that the organization is also considering the integration of the environmental aspects in the design and product development, as well as developing the specific processes to minimize the 60 identified risk in the field of environmental management. Furthermore, cleaner production is by its definition a proactive approach to dealing with the environmental impact of the processes in all industries. Using prevention in formulating environmental protection policy is also required according to ISO 140001 [17] and cleaner production completely supports this concept complying with the organization's practices for environmental management systems in achieving the common objectives to continually implement the improvements. Živković et al. have done a case study for the Oil Refinery Belgrade that confirmed an improvement of environmental performances using the ISO 14001 standard [18]. Tools and techniques Pareto diagrams were used in CS I as a tool to focus attention to problems offering the greatest potential for improvement. This technique is based on the rule that 20% of causes lead to 80% of problems (Pareto principle). Fishbone diagram or root cause analysis was also applied in this study (CS 1) representing a visual description of individual contributions to a certain problem. The fish head represents a problem to be solved while the bones serve to picture the root causes classified in 4–6 main categories: materials, methods, people, machines, the environment and measurement. Additional categories or further classifications within individual categories are also possible depending on their importance. Suitable working environment, as a combination of human and physical factors, assumes also maximum efficiency and minimization of waste, which is one of the key principles of Lean manufacturing and the basis of the CS II at the same time. Furthermore, cleaner production focuses on the root causes of Z. BOLTIĆ et al.: CONTINUOUS IMPROVEMENT CONCEPTS… Chem. Ind. Chem. Eng. Q. 22 (1) 55−64 (2016) problems related to the environment and not the consequences, which is one of the main goals in the six sigma analyze phase of the improvement process. financial benefits. As a result, a natural link is developed between the environmental goals and improvement projects initiated to increase productivity, achieve better yields, implement savings in materials and decrease the cost of waste management. Therefore, cleaner production becomes an important element of the comprehensive strategy of performance improvement and efficiency increase through the application of production concepts in accordance with Lean principles. Based on the studied facts, as well as numerous literature findings in this area, but also with regards to practical experience in management of the quality assurance processes and pharmaceutical production in general, it is obvious that the continuous improvement programs can be considered as the link between establishing sustainable process performance measurement systems and implementation of cleaner production in the pharmaceutical industry (Figure 4). Requirements for the Pharmaceutical Quality System are stipulated in ICH Q10 [14] and related to quality assurance processes as described in Good Manufacturing Practice. Performance measures eva- RESULTS AND DISCUSSION Results of the two case studies analysis against pre-defined criteria are summarized in Table 1. Additionally linked to CI through regulations and quality standards (a–e are referred in Table 1): a. ISO 9004 requirements; b. ICH Q10 and GMP requirements; c. System of ecological management; d. ISO 140001 focus on prevention; e. Similar to PDCA in ISO 9001. Linking the objectives in the field of environmental protection with improved productivity, material savings and decreased cost of handling and waste management, cleaner production is imposed as an inseparable part of the overall strategy to improve performances and increase total efficiency. Environmental protection aspects may be regarded as an important motivation factor to come to innovative solutions leading to both safety increase and significant Table 1. Comparative analysis against the suggested Continuous Improvement Criteria Continuous Improvement (CI) Criteria Data based approach/ Performance measurement Customer orientation Proactive thinking CS I related to QA processes CS II related to CP a data gathered to support the selected KPI b Monitoring and optimization of resources PMs established in relevant functions Measuring the environmental impact KPI and PMs link to strategy to achieve flexibility in terms of market requirements through KPI selection for supply chain management Indirectly through sustainable development Regular review of processes and measures for their improvement c Techno-economic analysis Focus on optimization and new technologies Evaluation against applicable laws and regulations Integration of environmental aspects in design and d Product development Tools and techniques Pareto Lean manufacturing Fishbone Kaizen philosophy e Figure 4. Continuous improvements as the link between quality assurance and cleaner production principles. 61 Z. BOLTIĆ et al.: CONTINUOUS IMPROVEMENT CONCEPTS… Chem. Ind. Chem. Eng. Q. 22 (1) 55−64 (2016) luation in terms of quality management processes is one of the key activities required for achieving the continuous improvement as one of the most important requirements of the Pharmaceutical Quality System given in ICH Q10. At the same time, system of ecological management, as one of the cleaner production elements, is also an instrument to recognize and solve environmental problems based on the continuous improvement concepts. Implementation of the Q10 model should facilitate continual improvement, in order to identify and implement appropriate product quality improvements, process improvements, variability reduction, innovations, and pharmaceutical quality system enhancements, thereby increasing the ability to fulfill a pharmaceutical manufacturer’s own quality needs consistently. Quality risk management represents a logical path adopted by an organization that has successfully implemented the basics required by ISO 9001, as it provides broader focus on the quality management system through a wider model based on processes. It relates to needs and expectations of all interested parties and gives instructions for systematic and continual improvement of overall performance of an organization. Additionally, ISO 9004 also comprises broader requirements for management of the resources and their efficient use, which again brings performance measurement within the quality system in relation to cleaner production principles through the concept of continuous improvement (Figure 5). It is clear that in both case studies the focus was on the contemporary requirements of the ICH Q10 Figure 5. The link between performance measurement and cleaner production through the concept of CI. can be useful for identifying and prioritizing areas for continual improvement. The results of the performed study may also be summarized are follows: • single methodology for improvement of quality management and industrial processes through continual monitoring and control of relevant performance measures; • correlation between different regulatory requirements for pharmaceutical industry to enable compliance through implementation of a single concept of continuous improvement; • dissemination of continuous improvement philosophy and knowledge in the area of integrated environmental and quality management, as well as safety, all in accordance with the main principles and key aspects of social responsibility. Performance measurement plays the key role in the area of quality management, providing insight in parts of the process where change and improvement is required, necessary feedback as the basis for further improvements, as well as relevant information for analysis and evaluation of the achieved performance. When it comes to models based on Total Quality Management (TQM), process management and customer orientation are regarded as the key factors for implementation. On the other hand, new ISO 9004 62 related to establishing the process performance indicators in critical areas within the Pharmaceutical Quality System and implementation of the continuous improvement concept in general, leading to evaluation of the overall organization performance through ISO 9004 and enhanced model based on processes, as well as taking into consideration the needs and expectations of all interested parties, which defines the CI as a common term both for quality management and cleaner production principles. CONCLUSION Measures and KPIs represent an important element of the CI concept, which on the other hand plays the key role in the modern Quality Management System (QMS) of the pharmaceutical company. The appropriate application of the process performance measurement system actually means measuring the current values of the specific parameters against the objectives and providing the feedback to relevant participants in the process. This approach should lead to the continuous improvement of the QMS, as well as performance measures in various processes, including sustainable environmental protection. Applying the appropriate Lean and Six Sigma tools and techniques, further significant problems Z. BOLTIĆ et al.: CONTINUOUS IMPROVEMENT CONCEPTS… categories can be identified to be gradually solved leading to completely eliminating, e.g., an entire class of deviations or environmental impacts when it comes to harmful emissions for example. Additionally, links and precise correlations can be determined between such performance measures managed locally and higher level objectives and the analysis can be expanded to other processes supporting these objectives. In this regard, the approach and concept of application of appropriate tools and analysis methods shown and developed in this work may be readily used in all similar improvement projects through different areas of the quality system and generic pharmaceutical production. Chem. Ind. Chem. Eng. Q. 22 (1) 55−64 (2016) [7] M. Brassard, L. Finn, D. Ginn, D. Ritter, The Six Sigma Memory JoggerTM II, A Pocket Guide of Tools for Six Sigma Improvement Teams, GOAL/QPC, 1994 [8] A.W. Roberts, D.E. Varberg, Faces of Mathematics: An Introductory Course for College Students, Harper and Row, New York, 1982 [9] C. Gyigi, N. DeCarlo, B. Williams, Six Sigma for Dummies, Wiley Publishing, Inc., 2005 [10] International Organization for Standardization (2003), ISO/TR 10017:(2003), Guidance on statistical techniques for ISO 9001:2000 [11] J. Liker, The Toyota Way: 14 Management Principles from the World's Greatest Manufacturer, McGraw-Hill, New York, 2004 [12] J.P. Womack, D.T. Jones, D. Roos, The Machine That Changed the World: The Story of Lean Production, Free Press, A Division of Simon&Schuster, Inc., New York, 1990 [13] J.P. Womack, D.T. Jones, Lean Thinking. Free Press, A Division of Simon&Schuster, Inc., New York, 1996 [14] ICH Harmonized Tripartite Guideline, Pharmaceutical Quality System Q10. EMEA, 2008 [15] International Organization for Standardization, ISO 28001:(2007), Security management systems for the supply chain - Best practices for implementing supply chain security, assessments and plans - Requirements and guidance [16] European Commission (2011), Best Available Techniques (BAT) Reference Document for Common Waste Water and Waste Gas Treatment/Management Systems in the Chemical Sector. Industrial Emissions Directive 2010/75/EU (Integrated Pollution Prevention and Control). Draft 2, 20 July 2011 [17] International Organization for Standardization, 140001:(2014), Environmental Management [18] S. Živković, Lj. Takić, N. Živković, Chem. Ind. Chem. Eng. Q. 19 (2013) 541−552. Acknowledgements The authors are grateful to the Ministry of Science and Technological Development of the Republic of Serbia for the support (project TR 34009). REFERENCES [1] Z. Boltić, N. Ružić, M. Jovanović, S. Petrović, Accredit. Qual. Assur. 15 (2010) 629-636 [2] Z. Boltić, N. Ruzić, M. Jovanović, M. Savić, J. Jovanović, S. Petrović, J. Cleaner Prod. 44 (2013) 123–132 [3] International Organization for Standardization, ISO 9004:(2009), Managing for the sustained success of an organization - A quality management approach. Geneva, ISO. [4] International Organization for Standardization, ISO 9004:(2000), Quality management systems - Guidelines for performance improvements. Geneva, ISO. [5] International Organization for Standardization, ISO 9001:(2008), Quality management systems – requirements. Geneva, ISO. [6] Official Gazette of the Republic of Serbia, No. 17/(2009), Strategy for Implementation of Cleaner Production in the Republic of Serbia ISO 63 Z. BOLTIĆ et al.: CONTINUOUS IMPROVEMENT CONCEPTS… ZORANA BOLTIĆ1 MIĆA JOVANOVIĆ2 SLOBODAN PETROVIĆ2 VOJISLAV BOŽANIĆ3 MARINA MIHAJLOVIĆ4 1 Hemofarm A.D, Beogradski put b.b, 26300 Vršac, Srbija 2 Tehnoško-metalurški fakultet, Univerzitet u Beogradu, Karnegijeva 4, 11000 Beograd, Srbija 3 Fakultet organizacionih nauka, Jove Ilića 154, 11000 Beograd, Srbija 4 Inovacioni centar Tehnološko-metalurškog fakulteta, Univerzitet u Beogradu, Karnegijeva 4, 11000 Beograd, Srbija NAUČNI RAD Chem. Ind. Chem. Eng. Q. 22 (1) 55−64 (2016) KONCEPTI KONTINUIRANOG UNAPREĐENJA KAO VEZA IZMEĐU OBEZBEĐENJA KVALITETA I UVOĐENJA ČISTIJE PROIZVODNJE – STUDIJA SLUČAJA U GENERIČKOJ FARMACEUTSKOJ INDUSTRIJI Predmet i cilj istraživanja koje je predstavljeno u ovom radu jeste uspostavljanje veze između obezbeđenja kvaliteta i uvođenja čistije proizvodnje u generičkoj farmaceutskoj industriji kroz sveobuhvatni koncept kontinuiranog unapređenja. Ovo se u najvećoj meri odnosi na primenu “lean” i “šest sigma” alata i tehnika za unapređenje procesa i njihovu povezanost sa drugim poznatim konceptima koji se koriste u industrijskom okruženju, a posebno proizvodnji generičkih farmaceutskih proizvoda, gde su za potrebe komparativne analize odabrane dve reprezentativne studije slučaja, uzimajući u obzir i relevantne regulatorne zahteve u oblasti menadžmenta kvalitetom, kao i odgovarajuće standarde kvaliteta. Iako je metodologija razmatrana u ovoj konceptualnoj i praktičnoj studiji usko povezana sa hemijskim inženjerstvom, akcenat je u najvećoj meri stavljen na procesnu industriju, odnosno proizvodne sisteme, pre nego na pojedinačne tehnološke procese. U tom smislu, predmet ovog istraživanja jeste inženjerski pristup evaluaciji proizvodnih sistema u pogledu primene koncepta kontinuiranog unapređenja, uzimajući u obzir kako aspekte kvaliteta, tako i efikasnost tih sistema. Ključne reči: obezbeđenje kvaliteta, čistija proizvodnja, farmaceutska industrija, kontinuirano unapređenje, “lean”, “šest sigma”. 64 Available on line at Association of the Chemical Engineers of Serbia AChE www.ache.org.rs/CICEQ Chemical Industry & Chemical Engineering Quarterly Chem. Ind. Chem. Eng. Q. 22 (1) 65−73 (2016) ALEKSANDAR GOLUBOVIĆ1 IVANA VELJKOVIĆ2 MAJA ŠĆEPANOVIĆ1 MIRJANA GRUJIĆ-BROJČIN1 NATAŠA TOMIĆ1 DUŠAN MIJIN3 BILJANA BABIĆ4 1 Institute of Physics, University of Belgrade, Belgrade, Serbia 2 Institute for Multidisciplinary Research, University of Belgrade, Belgrade, Serbia 3 Faculty of Technology and Metallurgy, University of Belgrade, Belgrade, Serbia 4 Institute of Nuclear Sciences “Vinča”, University of Belgrade, Belgrade, Serbia SCIENTIFIC PAPER UDC 54:66:544.526.5 DOI 10.2298/CICEQ150110020G CI&CEQ INFLUENCE OF SOME SOL-GEL SYNTHESIS PARAMETERS OF MESOPOROUS TIO2 ON PHOTOCATALYTIC DEGRADATION OF POLLUTANTS Article Highlights • Anatase nanopowders were synthesized by sol–gel method using tetrabutyl titanate as precursor • XRPD data showed slight growth of crystallites in synthesized samples (from 24 to 35 nm) • Raman scattering data confirmed the anatase as dominant TiO2 phase • The BET showed that specific surface area was greater at the lower temperature of calcination • Photodegradations were comparable with Degussa P25 for C.I. Reactive Orange 16 and phenol Abstract Titanium dioxide (TiO2) nanopowders were produced by sol-gel technique from tetrabutyl titanate as a precursor by varying some parameters of the sol-gel synthesis, such as temperature (500 and 550 °C) and the duration of calcination (1.5, 2 and 2.5 h). X-ray powder diffraction (XRPD) results have shown that all synthesized nanopowders were dominantly in the anatase phase, with the presence of a small amount of rutile in samples calcined at 550 °C. According to the results obtained by the Williamson-Hall method, the anatase crystallite size was increased with the duration of the calcination (from 24 to 29 nm in samples calcined at lower temperature, and from 30 to 35 nm in samples calcined at higher temperature). The analysis of the shift and linewidth of the most intensive anatase Eg Raman mode confirmed the XRPD results. The analysis of pore structure from nitrogen sorption experimental data described all samples as mesoporous, with mean pore diameters in the range of 5-8 nm. Nanopowder properties have been related to the photocatalytic activity, tested in degradation of the textile dye (C.I. Reactive Orange 16), carbofuran and phenol. Keywords: nanostructures, anatase, X-ray diffraction, Raman scattering. Photocatalysis is a well-known process mostly employed to degrade or transform organic and inorganic compounds, and the kinetics depend on catalyst surface area, availability of active sites, pore sizes, number and nature of trapped sites, as well as on adsorption/desorption characteristics. TiO2 is an important photocatalyst mainly because of its strong oxidizing power, non-toxicity and long-term photostaCorrespondence: A. Golubović, Institute of Physics, University of Belgrade, Pregrevica 118, 11080 Belgrade, Serbia. E-mail: golubovic@ipb.ac.rs Paper received: 10 January, 2015 Paper revised: 7 April, 2015 Paper accepted: 30 June, 2015 bility. Nanocrystalline TiO2 is essentially a cheap and biocompatible wide band-gap semiconductor with an involving photogenerated holes and photocatalytic capabilities for organic pollutants [1-3]. Namely, many organic compounds can be decomposed in aqueous solution in the presence of TiO2 powders or coatings illuminated with near ultraviolet (UV) or visible light. The structural, morphological, optical and photocatalytic properties of TiO2 nanocrystals are strongly dependent on the synthesis process [4,5]. Among the various synthesis methods, the sol-gel method has recently attracted a lot of attention, since it is simple and cost-effective way of producing nanostructured anatase TiO2 with tailored properties. 65 A. GOLUBOVIĆ et al.: INFLUENCE OF SOME SOL-GEL SYNTHESIS… Many factors influence photocatalytic reactivity of TiO2 which is documented by numerous publications in the last decades [6-11]. Generally, anatase is considered a desirable phase for photocatalysis application as it shows higher activity then rutile [8,12–13]. However, a mixture of anatase and rutile with a sintered interface, like commercial TiO2 (Degusa P25), is claimed to be more active then pure anatase [14-17]. In order to obtain the highest performance, the main challenge is the synthesis of preferably nanocrystalline anatase TiO2 that enables a balance between major influencing parameters: crystal structure, surface hydroxylation and crystallinity. The sol-gel process represents a flexible chemical route to synthesize various high-performance nanostructured ceramic materials with controlled internal morphology and chemistry. Materials with designed internal nanostructure (entirely interconnected open nanoporosity, hierarchical, fractal or nanocrystalline solid network) and various possible chemical compositions (from organic to inorganic) can be obtained in large range of shapes (finely divided nanopowders, nanoparticles, thin and thick films, fibers, granular beds and monolithic materials). The sol-gel process is a solution-based technique, where the material structure is created through chemical reactions in the liquid state, giving the high flexibility of the process for easy application. The photocatalytic efficiency of TiO2 powder heavily depends on its microstructure and physical properties, which are in turn determined by the preparation conditions. Among these, the presence of mesopores gives rise to a large surface area, which offers abundant interaction sites with external molecules [18]. The photocatalytic process involves the separation of the electron-hole charge pair, their transport and trapping to/at the surface, and, finally, their reaction with the desired molecules. These processes always compete with the charge pair recombination. The nanostructure significantly affects these elemental processes based on several reasons. Apart from a high surface-to-volume ratio, which must be beneficial for all chemical processes, the first factor is the quantum confinement and improved reduction/ /oxidation power. The second factor is the practical absence of band bending and the consequent easier access of both charged particles to the surface [19]. TiO2 nanopowders are very efficient compounds for the photodegradation of many pollutants [20,21]. In our investigations, we made a focus on degradation of organic pollutants having different chemical structure. Namely, a textile dye (C.I. Reactive Orange 16) [22,23], an insecticide (carbofuran [2,24-26]) and 66 Chem. Ind. Chem. Eng. Q. 22 (1) 65−73 (2016) a phenol [27,28]. The commercial TiO2 (Degussa P25) was applied in a number of photodegradation processes of pollutants, and we wanted to synthesize TiO2 nanopowders using various parameters of synthesis and to compare the photocatalytic properties of such prepared catalysts. The mechanism of the photodegradation process is not completely defined, as many parameters are involved. According to this, our manuscript is a contribution in understanding of such a complex process. To the best of our knowledge, this study is original and it was not found in the literature. Several methods of characterization, such as XRPD, Brunauer-Emmett-Teller (BET) measurements, and Raman scattering were employed in this study to correlate structural and morphological properties of synthesized TiO2 nanopowders and their photocatalytic activity under UV light irradiation. EXPERIMENTAL Synthesis The TiO2 nanocrystals were prepared by a solgel method. All of the reagents were of analytical grade and were obtained from commercial sources and used without further purification. Tetrabutyl titanate (99%, Acros Organics, Belgium) was used as the precursor of titania, hydrochloride acid (36.2%, Zorka, Serbia) as the catalyst, ethanol (96%, denatured, Carlo Erba, Italy) as the solvent, and distilled water for hydrolysis. pH of the solution was 7. The reagent molar ratio was Ti(OBu)4:HCl:EtOH:H2O = = 1:0.3:15:4 according to [29], which enabled obtaining a stable gel. The process of gelation was carried out at 4 °C, where appropriate amounts of Ti(OBu)4, HCl and EtOH were stirred one hour by magnetic stirrer. After that, an appropriate amount of distilled water was added in the mixture due to hydrolysis and formation of the gel. This gel was “aged” (the process of polycondensation) for two hours, the wet gels were dried at 80 °C, and then calcinated at 500 and 550 °C for 1.5, 2 and 2.5 h, to obtain TiO2 nanocrystals. The heating and the cooling rates were 135 °C/h. According to the calcination conditions (various temperature of calcinations and duration of the calcinations), synthesized samples were labeled as: T500/1.5, T500/2, T500/2.5, T550/1.5, T550/2 and T550/2.5. Characterization methods Generally, instrumental broadening is negligible in the case of low crystallinity samples. Broadening of the peaks because of low crystallinity is dominant. These are fundamentals of X-ray powder analysis. A. GOLUBOVIĆ et al.: INFLUENCE OF SOME SOL-GEL SYNTHESIS… Structural analysis of prepared samples was done by XRPD on an Ital Structures APD2000 diffractometer, using CuKα radiation (λ = 1.5406 Å), angular range: 20°< 2θ < 90°. Data were collected at every 0.01° in the 20-90° 2θ using a counting time of 80 s/step. MDI Jade 5.0 software was used for calculation of the structural and microstructural parameters. The Williamson-Hall method [30] was applied for the determination of average microstrain and the mean crystallite sizes, <D>, of the prepared samples. The obtained values were compared to the mean crystallite sizes calculated by the Scherrer formula [31]. The Scheerer formula is an estimate of crystallite size calculated from FWHM of all diffractions collected during measurement. Raman scattering measurements was performed in the backscattering geometry at room temperature in air, using Jobin-Yvon T64000 triple spectrometer, equipped with a confocal microscope and a nitrogen-cooled coupled device detector. The spectra, excited by 514.5 nm line of Ar+/Kr+ laser with output power less than 5 mW to avoid local heating due to laser irradiation, was recorded with high spectral resolution of about 0.7 cm-1. The porous structure of anatase samples is evaluated from adsorption/desorption isotherms of N2 at –196 °C, using the gravimetric McBain method. The main parameters of the porosity, such as specific surface area and pore volume, have been estimated by BET method from αs-plot [32]. The pore size distribution was estimated from hysteresis sorption data by the Barret-Joyner-Halenda (BJH) method [33]. Chem. Ind. Chem. Eng. Q. 22 (1) 65−73 (2016) Orange 16), 6.86×10-4 M (carbofuran), 4×10-4M (phenol), respectively. Upon preparation of the solution, agitation was applied in dark by continuous stirring (magnetic stirrer) at 400 rpm to keep the suspension homogenous for 90 min. Then, the lamp was switched on and the suspension sampled after appropriate times of irradiation. The concentration of pollutants was determined after centrifugation of a sample on Mini Spin Eppendorf at 12000 rpm by a UV-Vis spectrophotometer (Shimadzu 1700) at appropriate wavelength. RESULTS AND DISCUSSION XRPD measurements The XRPD measurement confirmed that sol-gel synthesis resulted with preparation of anatase modification of TiO2, which is clearly indicated with the main anatase reflection at 2θ ≈ 25° (JCPDS card no. 21-1272). The samples calcinated at 500 °C were found to be phase-pure anatase (Figure 1), with crystallite sizes growing with increasing calcination time (Table 1), while the samples calcinated at 550 °C have small amount of rutile impurities, which are confirmed by small peaks at 2θ ≈ 27° in Figure 1 (JCPDS, card no. 21-1276). The presence of rutile in calcined anatase samples can be caused both by pH value and the temperature of the calcination [34]. In our case, the small amount of rutile in samples calcined at 550 °C is caused by the temperature of the calcination as pH value is the same (pH 7). Measurements of photocatalytic activity UV irradiation of a suspension (an appropriate amounts of pollutant and TiO2 powder as the catalyst) was performed in an open flask (100 ml volume) with an Osram Ultra-Vitalux® 300 W (UV-A) lamp placed 50 cm from the surface of the solution. The light intensity was 40 mW cm–2, and it was measured on the Amprobe Solar-100, Solar Power meter, BehaAmprobe, GmbH. The textile dye, C.I. Reactive Orange 16, was obtained from the company Bezema, Switzerland, as a gift (commercial name Bezaktiv Orange V-3R) and used without futher purification. Carbofuran (99.2 %) was obtained from FMC, USA. Phenol, p.a. grade, was purchased from Fluka. The photodegradation of organic pollutants was studied by preparing a solution containing known concentration of organic and appropriate amount of TiO2. In a typical experiment, 25 ml of a solution was used, the quantity of TiO2 was 50 mg, whereas the pollutants solution molarities were 8.1×10-5 M (C.I. Reactive Figure 1. The XRPD patterns of TiO2 samples, where rutile diffraction is denoted by “R”. 67 A. GOLUBOVIĆ et al.: INFLUENCE OF SOME SOL-GEL SYNTHESIS… Chem. Ind. Chem. Eng. Q. 22 (1) 65−73 (2016) Table 1. The unit cell parameters and unit cell volume, together with average crystallite size, <D>, of anatase and microstrain obtained by Scherrer and Williamson-Hall methods Sample Calcination conditions Unit cell parameters Scherrer method Williamson-Hall method Temperature, °C Time, h a and c in Å, V in Å3 <D> / nm <D> / nm Microstrain, % T500/1.5 500 1.5 a = 3.784(3) c = 9.53(0) V = 136.4(8) 15 24 0.301 T500/2 500 2.0 a = 3.789(9) c = 9.52(1) V = 136.7(5) 18 28 0.231 T500/2.5 500 2.5 a = 3.789(2) c = 9.50(3) V = 136.4(5) 19 29 0.247 T550/1.5 550 1.5 a = 3.789(1) c = 9.51(5) V = 136.6(1) 24 30 0.108 T550/2 550 2.0 a = 3.788(7) c = 9.51(4) V = 136.5(7) 28 33 0.077 T550/2.5 550 2.5 a = 3.789(1) c = 9.53(4) V = 136.8(9) 30 35 0.085 According to the Scherrer formula, the crystallite size for samples calcinated at lower temperature has been estimated in the range from 15 to 19 nm, while the samples calcinated at higher temperature have higher crystallinity, with crystallite size in the range from 24 to 30 nm, while for these estimated by Williamson-Hall method were in the range from 24 to 29 nm for lower temperature and from 30 to 35 nm for higher temperature. The analysis of XRPD data by the Williamson-Hall method has shown higher microstrain value in the samples calcinated at 500 °C compared to the samples calcinated at 550 °C. In all futher discussion, values of crystalline size evaluated by the Williamson-Hall method were used. Raman scattering measurements The Raman spectra of all synthesized nanopowders are dominated by anatase Raman modes [35,36]: Eg(1) (∼143 cm−1), Eg(2) (∼199 cm−1), B1g (∼399 cm−1), A1g+B1g (∼518 cm−1), and Eg(3) (∼639 cm−1), as can be seen from the spectrum of two chosen samples shown in Figure 2. The most intensive Raman Eg(1) mode is positioned between 142.8 and 143.5 cm-1, with linewidths from 9 to 11.5 cm-1. The dependence of Raman shift on linewidth of this mode is shown in Figure 3. The Eg(1) Raman modes in the samples T500/1.5, T500/2 and T500/2.5, calcined at lower temperature (500 °C), are more shifted and more broadened then the mode in samples calcined at higher temperature (550 °C). Having in mind the relatively large crystallite size in all samples registered 68 Figure 2. The Raman spectra of samples T500/1.5 and T550/2.5. The experimental spectra (circles) are fitted by the sum of Lorentzians (thin lines). Anatas modes are denoted by “A” and rutile by “R”. by XRPD (24-35 nm), slight shift and broadening relative to bulk anatase [33] may rather be ascribed to defects and disorder in anatase crystal structure, than to the phonon confinement effects. The smaller linewidth and the Raman shift of Degussa P25 compared A. GOLUBOVIĆ et al.: INFLUENCE OF SOME SOL-GEL SYNTHESIS… to the series of obtained samples can be explained as the least deffective and disordered anatase structure. Figure 3. The experimental dependence of Raman shift on linewidth for the most intensive Eg(1) mode of synthesized anatase samples and Degussa P25. Chem. Ind. Chem. Eng. Q. 22 (1) 65−73 (2016) T550/2 the porosity was very small (the pore concentration is within experimental error). The mean pore diameters obtained by BET and BJH method are in good agreement. The pore size distribution for synthesized anatase samples and Degussa P25, obtained by BJH method, are shown in Figure 4. It could be seen that in the rows T500/1.5, T500/2, T500/2.5 and T550/1.5, T550/2, T550/2.5 value of specific surface area had the highest value for the first member, lowest for the second and close to the first for the third member. The explanation for this tendency lies in the fact that the pores tranformed during the time of calcination. The tendency of microstrain in Table 1 was in accordance with the tendency of a pore evolution. Also, the pores in the samples calcined at 500 °C (mean pore diameter around 5-6 nm) are smaller than those in the samples calcined at higher temperature (7-8 nm), as can be seen in Table 2. From Figure 4 can be also Some additional Raman features, detected in the sample T550/2.5 shown in Figure 2, can be ascribed to the rutile modes [37] Eg (∼445 cm-1) and A1g (∼609 cm-1). The Raman modes related to the brookite phase [38] in the synthesized samples were not detected. Porosity To investigate the effects of synthesis conditions parameters on the adsorption abilities and pore structure of TiO2 samples, the nitrogen sorption isotherms measurements have been carried out. The specific surface area, pore volume and mean pore diameter calculated from both BET and BJH are listed in Table 2. The samples calcined at 500 °C (samples T500/1.5, T500/2 and T500/2.5) are obviously more porous than those calcined at 550 °C (samples T550/1.5 and T550/2.5). Note that the parameters of porosity, determined from the αs-plots [16,39], suggest that the samples are fully mesoporous (Smeso = SBET), whereas in the sample Figure 4. The pore size distribution for synthesized anatase sample and Degussa P25 obtained by BJH method. Table 2. The porous properties of synthesized anatase samples, as well as Degussa P25: specific surface areas (SBET, SBJH), pore volumes (Vp, Vt), and mean pore diameters ( DBET , DBJH ) obtained by BET and BJH methods, respectively Sample T500/1.5 SBET = Smeso, in m2/g Vp / cm3 g–1 DBET / nm SBJH / m2 g–1 Vt / cm3 g–1 DBJH / nm 52 0.1063 5.3 52.0 0.1025 5.1 T500/2 33 0.0757 5.9 34.2 0.0777 5.9 T500/2.5 45 0.0922 5.3 45.9 0.0903 5.1 T550/1.5 18 0.0580 8.3 18.5 0.0599 8.3 T550/2 2 – – – – – T550/2.5 17 0.0454 6.9 18.3 0.0504 7.1 Degussa P25 13 0.0244 7.5 11.6 0.0214 7.4 69 A. GOLUBOVIĆ et al.: INFLUENCE OF SOME SOL-GEL SYNTHESIS… seen that the pore distribution of Degussa 25 was almost uniform (except for the largest value of about 9 nm) and that could be the crucial fact why Degussa 25 was the powerful tool for the photocatalytic degradation. Photocatalytic activity The photocatalytic activity of synthesized catalyst was studied using three representatives of organic pollutants: C.I. Reactive Orange 16 (textile dye), carbofuran (pesticide) and phenol. The samples were (after mixting with pollutants, sorption and UV irradiation) withdrawn and analyzed on a UV-Vis spectrophotometer at 492.5 nm for C.I. Reactive Orange 16, 277 nm for carbofuran and 270 nm for phenol. The time after the agitation 90 min in dark is denoted as 0, and these concentrations are denoted as c0. The reactions were performed using Degussa P25 TiO2 for comparison. The results are shown in Figure 5. In Figure 5a, the effectiveness of synthesized TiO2 catalysts in photodegradation reaction of (C.I. Reactive Orange 16) is presented. In comparison to Degussa P25, the catalyst T500/1.5 showed almost the same photodegradation effectiveness (99 and 98% after 90 min of UV irradiation, respectively), while the others samples, except T550/1.5, showed similarly good photodegradation effectiveness. The photodegradation efficiency can be determined as: Efficiency = 100 c0 − c c0 where c0 is the initial concentration of pollutant sol- Chem. Ind. Chem. Eng. Q. 22 (1) 65−73 (2016) ution and c is the concentration after irradiation with UV light. The efficiencies of the studied TiO2 catalysts as well as the observed pseudo first reaction rate constants were presented in Table 3. The main difference between Degussa P25 and synthesized catalysts is the reaction rate as a result of pore distribution uniformity. In case of carbofuran, Degussa P25 showed higher photodegradation efficiency than all synthesized samples (98% of carbofuran was photodegraded after 90 min). After 150 min of UV irradiation, the highest photodegradation efficiency was obtained by samples T500/1.5 (75%), whereas the lowest efficiency were observed for the samples T550/1.5 and T550/2.5 (both 49%). The obtained results are in accordance with the pore distribution influence on the reaction rate. Photocatalitic degradation of carbofuran using synthesized of TiO2 series and Degussa P25 as catalysts are presented in Figure 5b. Here, one can observe that the photocatalytic reaction rate is highest when Degussa P25 is used, while the differences between synthesized catalysts are much less pronounced. As given above, the observed reaction rate might be the result of the mean pore diameter range, and the combination of specific surface area and mean pore diameter. Phenol [40] was also subjected to photodegradation using synthesized catalysts and the results are shown in Figure 5c. It appears that TiO2 (both synthesized and Degussa P25) is able to remove phenol too, but it requires more time, since the concentrations continuously decrease. After 150 min of Figure 5. The kinetics of degradation of: a) C.I. Reactive Orange 16, b) carbofuran and c) phenol, under UV irradiation monitored in the presence of synthesized TiO2 samples and Degussa P25. 70 A. GOLUBOVIĆ et al.: INFLUENCE OF SOME SOL-GEL SYNTHESIS… Chem. Ind. Chem. Eng. Q. 22 (1) 65−73 (2016) Table 3. The efficiency, %, of the studied TiO2 catalysts as well as the observed pseudo-first reaction rate constants Time, min Catalyst P-25 T500/1.5 T500/2 T500/2.5 T550/1.5 T550/2 T550/2.5 RO16 0 0 0 0 0 0 0 0 30 72 40 34 25 33 42 32 60 98 61 62 63 60 71 63 90 99 96 98 95 85 97 95 0.0546 0.0287 0.0335 0.0271 0.0189 0.0322 0.0271 k / min -1 Carbofuran 0 0 0 0 0 0 0 0 30 38 1 1 1 1 1 1 60 82 4 4 3 2 4 2 90 98 17 10 10 9 15 5 120 48 29 32 21 36 19 150 75 63 68 49 68 49 0.0372 0.0062 0.0041 0.0027 0.0028 0.0049 0.0027 0 0 0 0 0 0 0 0 30 14 1 6 5 4 2 0 60 24 10 10 19 14 13 1 k / min-1 Phenol 90 32 23 23 23 14 19 16 120 41 38 38 33 23 34 32 54 52 52 45 46 44 34 0.0048 0.004 0.004 0.0035 0.003 0.0033 0.0025 150 k / min -1 UV irradiation, Degussa P25 degraded 54%, almost the same value as for T500/1.5 and T500/2 (52%). Other samples (T500/2.5, T550/1.5 and T550/2) degraded about 45% and T550/2.5 showed the worst result (34%). Obtained photodegradation result for Degussa P25 is in accordance with results from de la Cruz Romero et al. [3] where phenol was not 100% photodegraded even with the UV irradiation of 10 h (only 60% under similar experimental conditions). One would expect that the smaller molecule, phenol, can easily access the internal surface of Degussa sample giving higher degradation rate in comparison to other two organic pollutants. Namely, if only size of the molecule is important, than the reaction rate order would be: phenol > carbofuran > > RO16. On the contrary, the rate order is inverse, RO16 being most reactive. The main reason for such reaction rate is due to the different mechanisms of degradation and different part of molecules involved. If only one molecule is concerned, then the influence of the catalyst is more complex. Not only the mean pore diameter is important, but also the combination of specific surface area and mean pore diameter, giving Degussa an advantage when voluminous molecules are concerned. CONCLUSIONS The structural and morphological properties of TiO2 powders were intentionally varied by the temperature and duration of the calcination. The analysis of XRPD data showed that rising of temperature and extending the duration of the calcination caused slight growth of crystallites in synthesized samples (from 24 to 35 nm), which was confirmed by Raman scattering. It was also noticed that the most intensive Raman Eg mode in the samples calcined at higher temperature (550 °C) is less broadened and blueshifted than in the samples calcined at 500 °C, pointing to less deffective and disordered anatase structure. The BET analysis showed that the greatest specific surface area was in the sample calcined for 1.5 h at 550 °C (T550/1.5). The samples calcined at 500 °C displayed higher photocatalytic activity in the degradation in comparison with the samples calcined at 550 °C. The results of photodegradation of C.I. Reactive Orange 16 for the sample calcined 2 h at 500 °C (sample T500/2) was comparable with Degussa P25. The samples calcined for 1.5 and 2 h at the same temperature (samples T500/1.5 and T500/2) showed comparable efficiency with Degussa P25 in photodegradation of phenol, while in 71 A. GOLUBOVIĆ et al.: INFLUENCE OF SOME SOL-GEL SYNTHESIS… photodegradation of carbofuran Degussa P25 showed superior photocatalytic properties. Chem. Ind. Chem. Eng. Q. 22 (1) 65−73 (2016) [18] W. Li, X. Guo, Y. Zhu, Y. Hui, K. Kanamori, K. Nakanishi, J. Sol-Gel Sci. Technol. 67 (2013) 639-645 [19] M. Fernández-García, A. Martínez-Arias, J. C. Hanson, J. A. Rodriguez, Chem. Rev. 104 (2004) 4063-4104 [20] S. Ahmed, M.G. Rasul, W.N. Martens, R. Brown, M.A. Hashib, Desalination 261 (2010) 3-18 [21] S. Ahmed, M.G. Rasul, W.N. 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GOLUBOVIĆ et al.: INFLUENCE OF SOME SOL-GEL SYNTHESIS… ALEKSANDAR GOLUBOVIĆ1 IVANA VELJKOVIĆ2 MAJA ŠĆEPANOVIĆ1 MIRJANA GRUJIĆ-BROJČIN1 NATAŠA TOMIĆ1 DUŠAN MIJIN3 BILJANA BABIĆ4 1 Institut za fiziku, Univerzitet u Beogradu, Pregrevica 118, 11080 Beograd, Srbija 2 Institut za multidisciplinarna istraživanja, Univerzite u Beogradu, Kneza Višeslava 1, 11000 Beograd, Srbija 3 Tehnološko-metalurški fakultet, Univerzitet u Beogradu, Karnegijeva 4, 11000 Beograd, Srbija 4 Institut za nuklearne nauke „Vinča”, Univerzitet u Beogradu, 11001 Beograd, Srbija Chem. Ind. Chem. Eng. Q. 22 (1) 65−73 (2016) UTICAJ NEKIH PARAMETARA SOL-GEL SINTEZE MEZOPOROZNOG TIO2 NA FOTOKATALITIČKU DEGRADACIJU ZAGAĐIVAČA Nanoprahovi titan-dioksida (TiO2) su proizvedeni sol-gel tehnikom iz tetrabutil-titanata kao prekursora, varirajući neke parametre sol-gel sinteze kao što su temperatura kalcinacije (500 i 550 °C) i dužina kalcinacije (1,5; 2 i 2,5 h). XRPD rezultati su pokazali da su svi sintetizovani nanoprahovi dominantno u anataz fazi sa prisustvom malih količina rutilne faze u uzorcima kalcinisanim na 550 °C. Saglasno rezultatima dobijenim Williamson-Hall metodom, kristaliti anataza rastu sa vremenom kalcinacije (od 24 do 29 nm u uzorcima kalcinisanim na nižoj temperaturi, i od 30 do 35 nm u uzorcima kalcinisanim na višoj temperaturi). Analize pomeraja i poluširine najintenzivnijeg Eg Ramanskog moda anataza su potvrdile XRPD rezultate. Parametri veličine pora dobijeni pomoću eksperimentalnih podataka sorpcije azota su ukazali na to da su svi uzorci mezoporozni, sa srednjom veličinom pora u opsegu 5-8 nm. Fotokatalitička aktivnost dobijenih nanoprahova je testirana na degradaciji tekstilne boje (C.I. Reactive Orange 16), karbofurana i fenola. Ključne reči: nanostrukture, anataz, difrakcija X-zraka na prahu, rasipanje. NAUČNI RAD 73 Available on line at Association of the Chemical Engineers of Serbia AChE www.ache.org.rs/CICEQ Chemical Industry & Chemical Engineering Quarterly Chem. Ind. Chem. Eng. Q. 22 (1) 75−83 (2016) MEHDI ASADOLLAHZADEH1,2 SHAHROKH SHAHHOSSEINI1 MEISAM TORAB-MOSTAEDI2 AHAD GHAEMI1 1 Department of Chemical Engineering, Iran University of Science and Technology (IUST), Tehran, Iran 2 Nuclear Fuel Cycle Research School, Nuclear Science and Technology Research Institute, Tehran, Iran SCIENTIFIC PAPER UDC 54:66.063 DOI 10.2298/CICEQ150426022A CI&CEQ THE EFFECTS OF OPERATING PARAMETERS ON STAGE EFFICIENCY IN AN OLDSHUE-RUSHTON COLUMN Article Highlights • Stage efficiency of the investigated column is high in comparison with other extractors • Stage efficiency is strongly dependent on the agitation rate and interfacial tension • Stage efficiency is better when the mass transfer direction is from continuous to dispersed phase • Empirical correlation is derived for prediction of stage efficiency Abstract In this research, stage efficiency was measured in a 113 mm Oldshue-Rushton column for two systems including toluene-acetone-water and n-butyl acetate-acetone-water. The experiments were performed in two directions of mass transfer. The effects of different parameters such as rotor speed, dispersed and continuous phase velocities and direction of mass transfer on the stage efficiency were investigated. The experimental data show that the stage efficiency is strongly dependent on the agitation rate and interfacial tension, but only slightly dependent on phase velocities. It was observed that the stage efficiency is better when the mass transfer direction of acetone is from the continuous to the dispersed phase in comparison to opposite direction due to the presence of oscillations created by surface tension gradient. The investigated column is one of the extraction columns with high stage efficiency. An empirical correlation is proposed to describe the stage efficiency in terms of Reynolds and Froude numbers. The predictions of the equation had good agreement with the experimental data. Keywords: Oldshue-Rushton column, stage efficiency, axial mixing, throughput. Solvent extraction is one of the key unit operations in the processes including the petrochemical, pharmaceutical, hydrometallurgical, and environmental industries. Among various types of solvent extraction units, the extraction column is emerging as one of the best choices because of a high throughput and stage efficiency [1]. The droplet size and the degree of turbulence are dependent on the mechanical agitation in the extraction column. Mixing can intensify the stage efficiency due to the large interfacial area with small dispersed drops [2,3]. As drop size decreases with agitCorrespondence: S. Shahhosseini, Department of Chemical Engineering, Iran University of Science and Technology (IUST), P.O. Box 16765-163, Tehran, Iran. E-mail: shahrokh@iust.ac.ir Paper received: 26 April, 2015 Paper revised: 24 June, 2015 Paper accepted: 2 July, 2015 ation speed, the relative velocity between the dispersed phase and continuous phase decreases likewise, which lowers the throughput. In addition, the agitation can increase the axial mixing and reduce the extraction efficiency by decreasing solute concentration gradients and as a consequence the mass transfer rate. Neglecting the effect of axial mixing when designing an extraction column can lead to overestimation of mass transfer efficiency of about 30% or more [4]. Thus, the mechanical agitation can be used to control the droplet size, dispersed phase holdup, stage efficiency and, consequently, the performance of the extraction columns [5]. In several studies, a number of authors have reported different methods to decrease axial mixing by coalescing small drops in the section between stages. Internal column geometry reduces axial mixing, increases droplet coalescence and breakage 75 M. ASADOLLAHZADEH et al.: THE EFFECTS OF OPERATING… Chem. Ind. Chem. Eng. Q. 22 (1) 75−83 (2016) rates resulting in increased mass transfer rates, and affects the mean residence time of the dispersed phase, which allows the handling of large loads with small differences of interfacial tension and density, improving the hydrodynamic performance of the column and, subsequently, the extraction efficiency [6,7]. The experimental set up with the mixing part and the packing part alternately to promote drop coalescence in the packing part has been reported by Scheibel [8]. For the same objective, a three-dimensional lattice as a partition of the mixing stages was investigated by Steiner et al. [9]. The coalescence-dispersion pulsed-sieve-plate extraction column (CDPSEC) is a modified pulsedsieve-plate extraction column (PSEC). It was reported that the CDPSEC with 50 mm in the plate spacing was of 120% overall mass transfer efficiency over the standard PSEC [10]. However, when the plate spacing of the CDPSEC was reduced to 25 mm, it was reported that the mass transfer efficiency of the CDPSEC was only about 50% that of the standard PSEC, although the interface renewal frequency was doubled [11]. Horvath and Hartland achieved the high stage efficiency with a mixer-settler extraction column in which the inter-stage mixing was extremely small, similar to the throughput of the column [12]. Schweitzer reported a rectangular mixer-settler tower with horizontal arrangement of the mixer and settler in each stage. The arrangement between stages can reduce the axial mixing and result in the enhancement of separation efficiency [13]. The comparison of performance of various columns is shown in Table 1. The Oldshue-Rushton column manufactured by the mixing equipment company and commonly known as the Mixco column was developed in 1940 thanks to the best endeavors of Rushton and Oldshue. The unit consists of an outer shell in which horizontal stage separators are constructed to form the desired number of processing stages, each equivalent to a sepa- rate mixing operation [14]. Experimental work in Oldshue-Rushton columns is limited and the studies about stage efficiencies in the column have rarely been referred to in the literature. The objective of the present work is to investigate the influence of operating parameters such as rotor speed and velocity of dispersed and continuous phase on the stage efficiency for mass transfer directions as well as the two systems. An empirical correlation for prediction of stage efficiency is recommended in terms of physical properties of liquid systems and operating conditions. EXPERIMENTAL A pilot plant Oldshue-Rushton extraction column is used in these experiments. The column built in a cylindrical glass section was equipped with impellers with accurate speed control and the internal parts were constructed from stainless steel; a schematic diagram of the Oldshue-Rushton column used in this study is presented in Figure 1. The specifications of this column and range of operating variables are listed in Table 2. In normal operation, two types of immiscible liquids with different densities flow counter-currently through the apparatus. One of them is in large quantity (continuous phase), while the other, being in minute quantity (few percent), is dispersed as drops. Two flow meters are employed to supply and monitor the fixed flow rates of continuous and dispersed phases. The inlet and outlet of the column are connected to four tanks, each of 85 L capacity. The interface is maintained at the required level by using an optical sensor as previously described. Two chemical systems for instance tolueneacetone-water (high interfacial tension), and n-butyl acetate-acetone-water (medium interfacial tension) are examined on the extraction column for both mass transfer directions. The European Federation of Table 1. Comparison of performance of various columns [12] Diameter m Stage height m NTS/m 1/m Throughput 3 –2 –1 m m h Mass transfer direction Enhanced coalescing column 0.072 0.060 Kühni column 0.060 0.350 45 3-7.5 10-60 d→c 100/130 2.9-3.7 4-10 Packed column 0.070 - d→c - 1.8-2.5 15-30 d→c Pulsed packed column 0.070 Pulsed sieve plate column 0.050 - - 3.8-5.8 18-20 d→c 0.100 60 3.5-6.0 20-30 Karr reciprocating column 0.050 d→c 0.025 15 3.5-6.0 30-40 d→c Rotating disc column 0.070 - - 2.8-3.5 15-35 d→c Mixer settler extraction column 0.152 0.150 97 6.5 2-6 c→d Mixer settler extraction column 0.152 0.150 170 11.3 2-4 d→c Column 76 Stage efficiency % M. ASADOLLAHZADEH et al.: THE EFFECTS OF OPERATING… Chem. Ind. Chem. Eng. Q. 22 (1) 75−83 (2016) Figure 1. Schematic flow diagram of Oldshue-Rushton column. Chemical Engineering (EFCE) has adopted these systems as recommended systems. Table 2. Technical description of the Oldshue-Rushton column Parameter Table 3 [15]. In the present work, the values of physical properties have been assumed to correspond to the arithmetic-mean concentrations of the continuous and dispersed phases at the inlet and outlet of the column. Value Unit Column height (H) 700 mm Column internal diameter (Dc) 113 mm Diameter of the rotor 50 mm Settler diameter 169 mm Physical property 9 - ρc / kg m No. number of stages Table 3. Physical properties of liquid systems at 20 °C [15] Toluene/acetone/water n-Butyl acetate/ /acetone/water –3 994.4-995.7 994.3-995.8 864.4-865.2 879.6-881.4 Height of the stages 67 mm ρd / kg m–3 Fractional free cross section area 25 % μc / mPa s 1.059-1.075 1.075-1.088 0.574-0.584 0.723-0.738 Continuous phase flow rate 18-36 l/h μd / mPa s Dispersed phase flow rate 18-36 l/h σ / mN m Rotor speed 100-240 rpm Dc / m2 s–1 2 Dd / m s All experiments are carried out far from flooding conditions. Conditions became steady, as evidenced by a constant interface level, after three or four column volume of operation depending on the phase flow rates and rotor speed. At the end of each experiment, the average hold-up of the column was measured by using the shutdown procedure (interface position changes). In all experiments, dilute solutions were investigated with approximately 3.5 wt.% acetone in the organic phase. The acetone content of the aqueous and organic stream was measured by UV-Vis spectroscopy. The physical properties of the liquid– liquid systems used in these experiments are listed in –1 –1 27.5-30.1 12.4-13.2 1.09-1.14×10 2.7-2.8×10 -9 -9 1.01-1.06×10 -9 2.16-2.18×10 -9 The drops were photographed by a very high-resolution Nikon D5000 camera. Next, droplet dimensions were compared with the thickness of stators as a reference. It is found that the curved surface of the glass extraction column and significant differences between air and the glass refractive indices leads to a parallax deformation of the objects photographed in the extraction column. In order to omit this phenomenon, a container filled with water was attached to the extraction column and the photographic approach was used to calculate the size of stator thickness served as the reference for drop size measurements. Consequently, digital image analysis software was 77 M. ASADOLLAHZADEH et al.: THE EFFECTS OF OPERATING… Chem. Ind. Chem. Eng. Q. 22 (1) 75−83 (2016) applied in order to investigate the taken high quality photograph. A minimum of 1000 drops was analyzed for each experimental condition in order to guarantee the statistical significance of the determined size distributions. In the case of non-spherical droplets, the major and minor axes, d1 and d2, were measured and the equivalent diameter, de, was calculated from Eq. (1): stage efficiency. The stage efficiency, Eoy, based on the concentration of organic phase is illustrated as follows: ( d e = d 12d 2 ) 1/3 (1) The Sauter mean diameter was then calculated according to the following equation: N d 32 = ni d i3 i =1 N (2) n i d i2 i =1 E oy = ( y n − y n −1) (y * n − y n −1 ) where y n* = mxn is the organic phase concentration in equilibrium with the aqueous phase of nth stage, the value of m is 0.68 and 0.91 for toluene-water and n-butyl acetate-water, respectively. Figure 2 illustrates the typical concentration profile for the organic and continues phase for two systems and two directions of mass transfer. The experimental results obtained in these experiments are given in Tables A.1 and A.2 in Appendix and the pictures of drop sizes for two systems is shown in Figure 3. Effect of agitation speed where ni is the number of droplets of the mean diameter di within a narrow size range i. RESULTS AND DISCUSSION The performance of an extraction column with well-defined stages can be expressed in terms of Figure 4a shows the effect of changing the agitation speed on the stage efficiency for both systems from dispersed to continuous phase mass transfer. It was observed that the stage efficiency in both systems is heavily dependent on the agitation speed. At low speeds, the stage efficiency is low due to inadequate mixing, resulting in low holdup and large drops Figure 2. Typical concentration profile along the column (N=140 rpm, Vd= Vc=0.66 mm/s). 78 (3) M. ASADOLLAHZADEH et al.: THE EFFECTS OF OPERATING… Chem. Ind. Chem. Eng. Q. 22 (1) 75−83 (2016) Figure 3. Variation of drop sizes with rotor speed and interfacial tension for toluene-acetone-water: a) 140, b) 160, c) 180 rpm, and for n-butyl acetate-acetone-water: d) 140, e) 160, f) 180 rpm. (low interfacial area) that is also observed in Figure 3. The stage efficiency increases with an increase in the agitation speed and reaches a maximum of 58% for toluene-acetone-water system at a speed of 220 rpm and a maximum of 59% for n-butyl acetate-acetone-water system at a speed of 180 rpm. Having reached its maximum, the stage efficiency falls to further increasing at agitation speed. A decrease in the stage efficiency could contribute to the a significant decrease in mass transfer rates due to small droplets behaving as rigid spheres, in which case molecular diffusion would govern mass transfer in the system. The effect of rotor speed on the values of the stage efficiencies in the water-acetone-n-butyl acetate test system (medium interfacial tension) is greater than that of the water-acetone-toluene test system (high interfacial tension). The size of the droplets in higher interfacial tension test systems is larger than the droplet size in the lower interfacial tension test systems (Figure 3), which results in a decrease in their residence time in the column. Finally, the slip velocities increase and, consequently, the value of the dispersed phase holdup and stage efficiency will decrease; consequently, the column will operate in a more-stable manner. Effect of mass transfer direction Figure 4. Effect of rotor speed on the stage efficiency: a) surface tension and b) direction of mass transfer (Vc= Vd= 0.66 mm/s). The effect of the mass transfer direction on the stage efficiency is shown in Figure 4b. It is found from this figure that the mass transfer direction has a considerable effect on the stage efficiency. The stage efficiency in the continuous to dispersed phase transfer is lower than that in the opposite direction. This is due to the interfacial tension gradients that leads to the smaller drop sizes in continuous to dispersed phase transfer and larger drop sizes in the opposite direction. Therefore, the higher values of the stage efficiency in the case of the dispersed to continuous phase transfer are resulted from the increased mass transfer rates in drops of bigger sizes due to the presence of oscillations created by coalescence between the droplets enhanced by the Marangoni effect [16]. 79 M. ASADOLLAHZADEH et al.: THE EFFECTS OF OPERATING… Effect of dispersed phase velocity As shown in Figure 5a, the stage efficiencies increase with an increase in dispersed phase velocity for mass transfer direction from the dispersed to the continuous phase. This observation could be attributed to an increase in mean drop sizes because of an increase in drop formation and higher coalescence frequency. The increment of the number of dispersed droplets leads to an increase in the dispersed phase holdup. It is observed that the effect of the holdup on the interfacial area is larger than that of mean drop size, i.e., the interfacial area increases with an increase in the dispersed phase velocity; albeit an increase in the dispersed phase velocity leads to the reduction of mass transfer coefficient, a decrease is more predominant when the increase in the interfacial area is considered. Therefore, the stage efficiency decreases along the column. Chem. Ind. Chem. Eng. Q. 22 (1) 75−83 (2016) leads to an increment in the holdup due to the reduction of the relative velocity between the drops and continuous phase, but it is not appreciable on the drop sizes. Therefore, the interfacial area increases with the positive effect of the holdup. An increase in drag forces arising from the relative velocity between the continuous and dispersed phases leads to the circulation in a drop and consequently, overall mass transfer coefficient increases with an increase in Vc. The stage efficiency increases with both increase in overall mass transfer coefficient and interfacial area. As mentioned earlier, it is observed from Figures 5b and 6b that the stage efficiency in the dispersed to continuous phase transfer is higher than that in the opposite direction. Figure 6. Effect of continuous phase velocity on the stage efficiency: a) surface tension and b) direction of mass transfer (Vd= 0.66 mm/s). Figure 5. Effect of dispersed phase velocity on the stage efficiency: a) surface tension and b) direction of mass transfer (Vc= 0.66 mm/s). Effect of continuous phase velocity The effect of the continuous phase velocity on the stage efficiency is shown in Figure 6a. This effect 80 Comparison of other type of extractors with present column A comparison of the separation performance of the Oldshue-Rushton column with some other type of extraction extractors is described in Figure 7. The pattern is, as proposed by Pratt and Stevens, the number M. ASADOLLAHZADEH et al.: THE EFFECTS OF OPERATING… of theoretical stages per unit of length against total volumetric throughput of both phases [5]. This plot is of value in facilitating the comparison of the relative areas of application of various extractor types, despite being based on the data for a single system, viz. toluene-acetone-water in a phase ratio of 1.5. The present Oldshue-Rushton column reached values of between 5.14 and 6.55 NTS/m at low total throughputs. Therefore, it can be concluded that the present column has high stage efficiency while its throughput is low. Chem. Ind. Chem. Eng. Q. 22 (1) 75−83 (2016) ation can predict the stage efficiency of the column accurately. Figure 8. Comparison between experimental data and the proposed correlation. CONCLUSION Figure 7. Comparison of extractor performance; toluene–acetone-water system, Vd/ Vc = 1.5. Proposed correlation for stage efficiencies There is no correlation for prediction of stage efficiency in the Oldshue-Rushton column. The experimental data on the stage efficiency are correlated in terms of dimensionless numbers Re and Fr for both mass transfer directions as well as the two systems by using the least square method, as follows: E oy = 1.399Re −0.203Fr −0.169 (4) where: g Fr = d RN 2 Re = ρcd 32V s μc Stage efficiency was measured in a 113 mm Oldshue-Rushton column for two systems. It is shown in this work that the performance of the column depends largely on the rotor speed. The stage efficiency increased with agitation speed and reached a maximum, but after having reached its maximum, it fell to further increase in agitation speed. The comparison between the stage efficiencies for the two drops under the the same conditions of the two systems shows that the drop in n-butyl acetate-acetonewater system with a lower value of interfacial tension has a higher value of Eoy. It was observed that the stage efficiency is higher when the mass transfer direction is from the continuous to the dispersed phase. The comparison of Oldshue-Rushton column with some other types of extractors revealed that the stage efficiency is high in this column. Nomenclature (5) (6) The experimental data are compared with the calculated results from the above equation in Figure 8. The stage efficiency calculated according to this correlation reproduces the experimental data with an average error of 4.64%. Thus, the proposed correl- d32 D Dc dR Eoy g N NTS Re Fr m Sauter mean drop diameter (m) molecular diffusivity (m2/s) column diameter (m) rotor diameter (m) stage efficiency acceleration due to gravity (m/s2) rotor speed (1/s) number of stage efficiency Reynolds number Froude number distribution ratio 81 M. ASADOLLAHZADEH et al.: THE EFFECTS OF OPERATING… t V Vs yn x time (s) superficial velocity (m/s) slip velocity (m/s) mass fraction of acetone in dispersed phase mass fraction of acetone in continuous phase Greek letters density (kg/m3) interfacial tension (N/m) viscosity (Pa s) dispersed phase holdup ρ σ μ φ Subscripts c d o continuous phase dispersed phase overall value Superscripts * equilibrium value Chem. Ind. Chem. Eng. Q. 22 (1) 75−83 (2016) [4] M.S.A. Nabli, P. Guiraud, C. Gourdon, Chem. Eng. Res. Des. 76 (1998) 951-960 [5] H.R.C. Pratt, G.W. Stevens, in Science and Practice in Liquid–Liquid Extraction, Oxford University Press, Oxford, 1992, pp. 491-502 [6] W. Batey, J.D. Thornton, Ind. Eng. Chem. Res. 76 (1989) 1096-1101 [7] M. Jaradat, M. Attarakih, H. J. Bart, Ind. Eng. Chem. Res. 50 (2011) 14121-14135 [8] E.G. Scheibel, Chem. Eng. Prog. 44 (1948) 681-690 [9] L. Steiner, E.V. Fisher, S. Hartland, AIChE Symp. Ser. 80 (1984) 130-138 [10] H.B. Li, G.S. Luo, W.Y. Fei, J.D. Wang, Chem. Eng. J. 78 (2000) 225-229 [11] X.J. Tang, G.S. Luo, H.B. Li, J.D. Wang, Pet. Technol. 32 (2003) 1046-1050 [12] M. Horvoth, S. Hartland, Ind. Eng. Chem. Process Des. Dev. 24 (1985) 1220-1225 [13] P.A. Schweitzer, Hanson Mixer-Settler Handbook of rd Separation Techniques for Chemical Engineering, 3 ed., McGraw-Hill, New York, 1997, p. 230 REFERENCES J. Rydberg, C. Musikas, G.R. Choppin, Solvent extraction principles and practice, CRC Press, New York, 2004, p. 15 [14] J.H. Rushton, S. Nagata, T.B. Rooney, AIChE J. 10 (1964) 298-302 [15] [2] J.C. Godfrey, M.J. Slater, Liquid-Liquid Extraction Equipment, Wiley, New York, 1995, p. 40 T. Míšek, R. Berger, J. Schroter, EFCE Publ. Ser. 46 (1985) [16] [3] G.M. Ritcey, A.W. Ashbrook, Solvent extraction: principles and applications to process metallurgy, Vol. 1, Elsevier, New York, 1984, p.100 M. Wegener, J. Grünig, J. Stüber, A.R. Paschedag, M. Kraume, Chem. Eng. Sci. 62 (2007) 2967-2978. [1] APPENDIX Table A.1. Experimental data obtained in the experiments for toluene-acetone-water system Qd / l h–1 82 Qc / l h–1 d to c transfer rpm c to d transfer φ d32 / mm φ d32 / mm 2.44 24 24 140 0.0687 2.48 0.072 24 24 160 0.0755 2.22 0.0792 2.09 24 24 180 0.089 1.9 0.0945 1.805 24 24 200 0.111 1.48 0.116 1.41 24 24 220 0.115 1.35 0.125 1.282 24 24 240 0.128 1.12 0.134 1.02 24 18 160 0.0703 2.23 0.0751 2.1 24 30 160 0.0768 2.19 0.08391 2.06 24 36 160 0.0805 2.17 0.0876 2.01 24 18 200 0.108 1.5 0.111 1.45 24 30 200 0.116 1.47 0.1205 1.37 24 36 200 0.119 1.46 0.1264 1.34 18 24 160 0.0671 2.16 0.0716 2.04 30 24 160 0.0818 2.28 0.0879 2.14 36 24 160 0.0893 2.39 0.0966 2.17 18 24 200 0.1045 1.42 0.1073 1.38 30 24 200 0.1212 1.53 0.1248 1.45 36 24 200 0.1331 1.63 0.1373 1.52 M. ASADOLLAHZADEH et al.: THE EFFECTS OF OPERATING… Chem. Ind. Chem. Eng. Q. 22 (1) 75−83 (2016) Table A.2. Experimental data obtained in the experiments for n-butyl acetate-acetone-water system –1 –1 Qd / l h Qc / l h rpm φ 24 24 100 0.0748 2.02 24 24 120 0.0893 1.7092 24 24 140 0.0978 1.4191 24 24 160 0.119 1.25 24 24 180 0.129 1.08 24 24 200 0.14 0.95 24 18 120 0.0848 1.7186 24 30 120 0.0943 1.6882 24 36 120 0.098 1.66 24 18 160 0.1145 1.263 24 30 160 0.1231 1.242 24 36 160 0.1262 1.22 18 24 120 0.0828 1.6512 30 24 120 0.0998 1.7412 36 24 120 0.1086 1.8092 18 24 160 0.1125 1.224 30 24 160 0.1256 1.309 36 24 160 0.1337 1.367 MEHDI ASADOLLAHZADEH1,2 SHAHROKH SHAHHOSSEINI1 MEISAM TORAB-MOSTAEDI2 AHAD GHAEMI1 1 Department of Chemical Engineering, Iran University of Science and Technology (IUST), Tehran, Iran 2 Nuclear Fuel Cycle Research School, Nuclear Science and Technology Research Institute, Tehran, Iran NAUČNI RAD d32 / mm EFEKTI RADNIH PARAMETARA NA EFIKASNOST STUPNJA OLDŠUE-RUŠTONOVE KOLONE U ovom istraživanju, efikasnost stupnja je ispitivana u Oldšue-Ruštonovoj koloni, prečnika 113 mm, za dva sistema: toluen-aceton-voda i n-butil acetat-aceton- voda. Eksperimenti su uključili oba pravca prenosa mase. Ispitivan je uticaj različitih parametara, kao što su: brzina mešanja, brzine strujanja dispergovane i kontinualne faze i pravac prenosa mase, na efikasnost stupnja. Eksperimentalni podaci pokazuju da efikasnost stupnja jako zavisi od brzine mešanja i međufaznog napona, a malo od brzine strujanja faza. Primećeno je da je efikasnost stupnja bolja kada je smer prenosa mase acetona od kontinualne prema dispergovanoj fazi u odnosu na suprotan smer zbog prisustva oscilacija stvorenih gradijentom površinskog napona. Ispitivana kolona je jedna od ekstrakcionih kolona sa visokom efikasnošću stupnja. Predložena je empirijska korelacija koja povezuje efikasnost stupnja sa Rejnoldsovim i Frudovim brojem. Predviđanja jednačine se dobro slažu sa eksperimentalnim podacima. Ključne reči: Oldšue-Ruštonova kolona, efikasnost stupnja, aksijalna mešanje, kapacitet. 83 Available on line at Association of the Chemical Engineers of Serbia AChE www.ache.org.rs/CICEQ Chemical Industry & Chemical Engineering Quarterly Chem. Ind. Chem. Eng. Q. 22 (1) 85−93 (2016) XIAOLEI LI CHUNYING ZHU School of Chemical Engineering and Technology, State Key Laboratory of Chemical Engineering, Tianjin University, Tianjin, China SCIENTIFIC PAPER UDC 66.06/.07:66.021.3:54 DOI 10.2298/CICEQ141001021L CI&CEQ GAS–LIQUID MASS TRANSFER WITH INSTANTANEOUS CHEMICAL REACTION IN A SLURRY BUBBLE COLUMN CONTAINING FINE REACTANT PARTICLES Article Highlights • A mass transfer model based on penetration theory was developed • The effect of particle dissolution near the gas-liquid interface was considered in the model • The absorption of SO2 into Mg(OH)2/water slurry was experimentally investigated in a bubble column Abstract In this study, the mass transfer accompanied by an instantaneous irreversible chemical reaction in a slurry bubble column containing sparingly soluble fine reactant particles has been analyzed theoretically. Based on penetration theory combined with the cell model, a one-dimensional mass transfer model was developed. In the model, the effects of particle size and particle dissolution near the gas-liquid interface on mass transfer were taken into account. The mass transfer model was solved and an analytical expression of the time-mean mass transfer coefficient was attained. Reactive absorption of SO2 from gas mixtures into Mg(OH)2/water slurry was investigated experimentally in a bubble column reactor to validate the mass transfer model. The results indicate that the present model has good predicting performance and could be used to predict mass transfer coefficient for the complicated gas-liquid-solid threephase system with an instantaneous irreversible chemical reaction. Keywords: mass transfer, desulfurization, bubble column, instantaneous reaction, slurry. Gas absorption accompanied by chemical reactions in slurries is widely employed in the chemical industry. Many chemical reactions involved in the process could be regarded as instantaneous when their rates are much greater than the rates of the molecular diffusion. Some typical examples are the removal of SO2 by means of the aqueous Mg(OH)2 or Ca(OH)2 solution, the absorption of CO2 or H2S in the aqueous Mg(OH)2 or Ca(OH)2 solution, etc. Ramachandran et al. [1] theoretically analyzed gas absorption into slurries by reactant particles using film theory for the first time, and proposed and solved analytically Correspondence: C. Zhu, School of Chemical Engineering and Technology, State Key Laboratory of Chemical Engineering, Tianjin University, Tianjin 300072, China. E-mail: zhchy971@tju.edu.cn Paper received: 1 October, 2014 Paper revised: 27 April, 2015 Paper accepted: 1 July, 2015 a steady-state homogeneous phase model. Subsequently, many studies on the gas absorption accompanied by instantaneous chemical reactions into slurries containing sparingly soluble reactant particles have been reported, and many theoretical models were developed. Ramachandran [2] has summarized the gas absorption in slurries containing fine reactant particles till 2007. The models of gas-liquid mass transfer accompanied by instantaneous chemical reactions could be mainly classified into two categories: steady-state models and unsteady-state models. Uchida et al. [3], Dagaonkar et al. [4,5], Scala [6] and Juvekar [7] developed and solved analytically the steady-state models in terms of film theory. The steady-state models based on film theory of mass transfer are well adapted for actual situations when the processes are steady-state and homogeneous phase, but they are unreasonable and could bring great errors for the unsteady-state processes. By 85 X. LI, C. ZHU: GAS–LIQUID MASS TRANSFER WITH INSTANTANEOUS… comparison, penetration theory and surface renewal theory are more reasonable for describing the unsteady-state processes. Mehra [8] studied the effect of particle size distribution on the gas absorption, established and solved numerically an unsteadystate model based on the penetration model using a population balance approach to track the evolving particle size distributions. Kakaraniya et al. [9,10] extended the model of Mehra [8] to the SO2-Mg(OH)2–MgSO3 system and CO2-Ca(OH)2-CaCO3 system. Akbar et al. [11] studied the three-phase mass transfer in a spray scrubber with dissolving reactive particles, proposed and solved numerically an unsteadystate model based on the penetration model. The studies on the gas-side mass-transfer coefficient of bubbles have been conducted. Patoczka [12], Mehta [13], Filla [14], Cho [15], Rocha [16], Guedes [17], Ricardo [18] and Sada [19] have reported the gasside mass-transfer coefficient for the bubble columns. The experimental conditions in this work are similar to that of Sada [19], thus the estimation of mass transfer proposed by Sada would be employed directly. Up to now, the effect of particle size on the mass transfer of a gas-liquid-solid system with an instantaneous irreversible chemical reaction has not been theoretically analyzed and discussed in detail, and the particle size and the particle dissolution near the gas-liquid interface have a great influence on the mass transfer in the actual process. Therefore, in this paper, a theoretical analysis of gas absorption accompanied by an instantaneous chemical reaction in slurries containing sparingly soluble fine reactant particles is presented, and a mathematical model of mass transfer is developed and solved analytically based on penet- Chem. Ind. Chem. Eng. Q. 22 (1) 85−93 (2016) ration theory by taking into account the effect of particle size and particle dissolution near the gas-liquid interface on the mass transfer. Mg(OH)2 has drawn widespread attention as an absorbent for SO2 removal in recent years because of the advantages of high removal efficiency, recycling, no secondary pollutants, etc. Thus, the mass transfer process of the fast reactive absorption of SO2 into aqueous Mg(OH)2 slurry in a bubble column was experimentally investigated to validate the proposed mass transfer model. EXPERIMENTAL The schematic diagram of the experimental setup is shown in Figure 1, which consisted of the mixing gas generation unit, exhaust detection devices and a bubble column. The bubble column was made of stainless steel with 20 cm in diameter and 45 cm in height. Firstly, the column was filled with Mg(OH)2/water slurry, the air was fed into the bubble column until the system reached steady-state. Then, SO2 with volume fraction 0.98 (Tianjin Kermel Chemical Reagent Co., Ltd.) supplied from a cylinder was mixed in the gas mixer with the air from the air compressor (Shanghai Jiebao Compressor Manufacture Co., Ltd.), and the air-SO2 mixture was continuously fed at the bottom of the column. After SO2 reacted with Mg(OH)2 (particle size: 1-10 μm, Tianjin Kermel Chemical Reagent Co., Ltd.) in the liquid phase, the concentration of SO2 in the exhaust was detected by a flue gas analyzer (Qingdao Minhope electronic instrument Co., Ltd) with the accuracy of 0.1 mg m-3. The gas flow rates were controlled by a rotameter (LZB-type, Tianjin flow Ins- Figure 1. Schematic diagram of the experimental setup: 1) sulfur dioxide cylinder; 2) air compressor; 3) valve; 4) pressure reducing valve; 5) manometer; 6) rotor flow meter; 7) gas mixer; 8) bubble column; 9) feed tank; 10) flue gas detector; 11) manometer. 86 X. LI, C. ZHU: GAS–LIQUID MASS TRANSFER WITH INSTANTANEOUS… trument Co., Ltd.) with a measuring range of 0-100 ml min-1 for SO2 and 0-100 L min-1 for air; the accuracy of rotameters was ±1.5%. For each experimental condition, at least triplicate independent experiments were conducted to obtain the average value of the volume mass transfer coefficient. The experiments were carried out at 298.15 K and atmospheric pressure. A number of methods have been developed to measure the volumetric mass transfer coefficient, they could be divided into two main categories: 1) based on the measure of the concentration of the solute gas in the liquid phase; 2) based on the measure of the gas concentration in the gas phase. The gas balance method is more adequate for the three-phase system, because it is very difficult to measure the concentration of the solute gas in the liquid phase [20]. When the reaction is rapid and instantaneous, the concentration of the solute gas A in the bulk liquid phase can be regarded as zero. In this experiment, low superficial gas velocities were adopted to form a bubble flow regime, thus the mass balance of SO2 is: QinC in − Q outC out = K tolaV L (C avg − CL ) (1) where Cin and Cout are inlet and outlet bulk gas-phase concentrations respectively; Cavg is the logarithmic mean liquid phase equilibrium concentration of SO2 and CL bulk liquid-phase concentration. In our experiment, the inlet volume fraction of SO2 in the gas mixture is very low, thus the variation of the gas phase volume is negligible. For an instantaneous reaction, the concentration of the gas reactant in liquid could be regarded as zero. Therefore, the volume mass transfer coefficient could be calculated by: K tola = Q (C in − C out ) C avg (3) The logarithmic mean liquid phase concentration of SO2 in liquid, Cavg could be calculated: C avg (P / H − Pout / H ) = in P /H ln in Pout / H The Henry coefficient of SO2 was obtained by [21]: H = exp ( −55788 T − 8.7615lnT + 68.48 ) (5) Theory The mass transfer accompanied by an instantaneous irreversible chemical reaction in a slurry bubble column reactor containing sparingly soluble fine reactant particles is schematized in Figure 2. The solute diffuses from the gas phase into the liquid phase and reacts immediately and completely with the reactant present in the slurry, and then a sharp reaction plane parallel to the gas-liquid interface is formed. In the zone between the interface and the reaction plane (0 < x < Λ) only the reactant A exists. Beyond the reaction plane (x > Λ) only the reactant B exists. The following simplifying assumptions are made for the modeling of gas absorption enhanced by sparingly soluble fine reactant particles: 1) the solid particles are spherical and uniform in size, smaller than the scale of the diffusion length; 2) there is no surface kinetic resistance to particle dissolution, and the solid reactant has a low solubility in the liquid phase and dissolves slowly, thus that particles shrinkage can be neglected [2-6]. (2) The equilibrium concentration of SO2 in liquid phase could be calculated by Henry’s law: C SO2 = PSO2 / H Chem. Ind. Chem. Eng. Q. 22 (1) 85−93 (2016) (4) where Pin is the inlet partial pressure of SO2 and Pout is the outlet partial pressure of SO2. Figure 2. Schematic of mass transfer with instantaneous reaction in the slurry. It is supposed that the particle and the surrounding liquid establish a micro-cell. If rp is the solid particle radius and εp is the solid hold-up of the particle, the radius of each micro-cell is [7]: rC = rp 3 εp (6) In the zone between the interface and the reaction plane (0 < x < Λ), the mass transfer inside each micro-cell could be considered as a steady-state process due to the very small particle size. In the zone between the interface and the reaction plane 87 X. LI, C. ZHU: GAS–LIQUID MASS TRANSFER WITH INSTANTANEOUS… (0 < x < Λ), each micro-cell is divided into two parts by the micro-spherical reaction plane rλ. The mass transfer process inside each micro-cell may be stated as follows: d dr 2 dC B r dr =0 (7) B.C.: r = rp, CB = Bs; r = rλ, CB = 0. d dr 2 dC A r =0 dr (8) B.C.: r = rλ, CA = 0; r = rC, CA = CAL. The solutions of Eqs. (7) and (8) are respectively: CB = B s ( rλ r − 1) (rλ rp − 1) (9) C A = C AL (1 − rλ r ) (1 − rλ rC ) (10) In position of the micro-spherical reaction plane rλ, the following equation can be gotten: dC B DB dr dC A rλ = − D A dr (11) rλ Substitution of Eqs. (9) and (10) into Eq. (11) yields: rλ = rp (1 + DBB s D AC AL ) (1 + rpDBB S rCD AC AL ) (12) Combining the Eqs. (10) and (12), the rate of mass transfer in the interface of the micro-cell is: −D A dC A dr rC ( ) = (D AC AL + DBB s ) [rC rC rp − 1 ] (13) The consumption rate of reactant A per unit volume of slurry can be obtained: R A = 4π rC2 −D A dC A dr rC ( ( 4π r 3 ) = 3 C ) (14) In the zone beyond the reaction plane (x > xΛ), the mass transfer process inside each micro-cell may be represented as: RB = 4π rC2 −DB dCB dr = −3 DB (B s − CBL ) [r (15) 2 C (r C ( 4π r 3 ) = 3 C (17) rp − 1)] According to Figure 2, the mass transfer process accompanied by an instantaneous irreversible chemical reaction in a slurry containing sparingly soluble fine reactant particles is divided into two parts by the reaction plane (x = rλ): A-only region from the interface to the reaction plane (0 < x < Λ) and B-only region beyond the reaction plane (x > Λ). The reactant A and the reactant B react in the reaction plane, and the concentrations of the reactant A and the reactant B can be regarded as zero. The material balance in the liquid phase before and after the reaction plane is given: ∂C AL ∂ 2C AL = 1− εp DA − ∂t ∂x 2 ( ) ( ) −3 (D AC AL + DBB s ) [rC2 rC rp − 1 ] (0 < x < x Λ ) ∂CBL ∂ 2CBL = 1 − ε p DB + ∂t ∂x 2 ( ) ( (18) (19) ) +3 DB (B s − CBL ) [rC2 rC rp − 1 ] ( x Λ < x ) I.C.: t = 0, x > 0, CAL = 0, CBL = Bs B.C.: x = 0, CAL = C A∗ ∂C AL ∂CBL x = xΛ, CAL = CBL = 0, D A = −DB ∂x ∂x x = ∞, CBL = Bs To solve Eqs. (18) and (19), the equal diffusivities condition and the concept of negative concentration of the solute are introduced [22]. And it is assumed that: The defined: following (20) dimensionless variables are A = CAL/ C A∗ , B = CBL/ C A∗ , D = (1−εp)DA = (1−εp)DB, k = 3 D A [rC2 ( rC rp − 1)] (21) x > Λ to B = −A and A' = A+qB = 1+Bs/ C A∗ , Eqs. (18) and (19) become identical: B.C.: r = rp, CB = Bs; r = rC, CB = CBL. The solution of Eq. (15) is: CB = B s ( rC r − 1) ( rC rp − 1) + ) (1− r p rC ) ∂A ' ∂2A' =D − kA ' ∂t ∂x 2 (16) I.C.: t = 0, x > 0, A ' =0 B.C.: x = 0, A ' =1+qB = 1+Bs / C A∗ x = ∞, A ' =0 88 rC By putting the concentration of B in the range of d 2 dC B =0 r d r d r ( The consumption rate of reactant B per unit volume of slurry can be obtained: DA = DB; CBL = –CAL = 3 (D AC AL + DBB s ) [rC2 rC rp − 1 ] +CBL 1 − rp r Chem. Ind. Chem. Eng. Q. 22 (1) 85−93 (2016) (22) X. LI, C. ZHU: GAS–LIQUID MASS TRANSFER WITH INSTANTANEOUS… The gas-liquid specific interfacial area [23]: Solving Eq. (22) yields: A ' (1 + q B ) = 0.5(exp( − x k D )erfc ( x + exp( x k D )erfc ( 4tD + kt x 4tD − kt a = 6ε g d )+ (23) )) ∂C AL ∂x x =0 = (1 + q B )C A∗ D Ak ( ( kt ) + e × erf − kt π kt ) ( ) 1− ε p × (24) (25) NA (−D A ∂C AL ∂x (26) θ0 k θ0 ) πθ0 k + e −k θ0 ) D A (πθ0 )C A∗ (27) From Eq. (27) the mass transfer coefficient can be calculated by: K L = (1 + q B ) 1 (1 − ε p )(( k + 0.5 θ0 ) × ×erf ( k θ0 ) πθ0 k + e −k θ0 ) D A (πθ0 ) ( (28) ) where k = 3 D A [rC2 rC rp − 1 ] (Eq. (21), unit: s-1), θ0 is the average exposure time (unit: s). Then the terms in square brackets is dimensionless. Thus the unit of KL is the same as D A / (πθ0 ) . For the gas absorption accompanied by instantaneous chemical reactions in slurry bubble columns containing sparingly soluble fine reactant particles, as the partial pressure of the gas reactant is low, the gas-side mass transfer resistance could not be ignored. The total mass transfer coefficient can be expressed as: 1 K tol = 1 ( 1 Kg + H ) KL (29) The gas-side volume mass transfer coefficient is [19]: K ga = 170u b0.73 0.25 (32) 2 (1− ε ) 53 g (33) u single = ( 2.14σ L ρLd + 0.505gd ) 0.25 (34) The bubble diameter [24]: 0.3333 (35) The bubble volume: x = 0 )dt N A = (1 + q B ) 1 (1 − ε p )(( k + 0.5 θ0 ) × ( u b = u single (1 − ε g ) d = 2 ( 3V 4π ) Substitution of Eq. (24) into Eq. (26) using the relationship between D and DA yields: ×erf ) The average bubble rising velocity [24]: Eq, (24) can be integrated: 0 ( The single bubble rising velocity: θ0 = d u b = The gas hold-up [24]: The exposure time can be estimated by the bubble diameter and bubble rising velocity: θ0 (31) 3 ε g (1 − ε g ) = 0.086 u single ρL2 η ( ρL − ρg ) g The mass transfer rate of A can be obtained: −D A Chem. Ind. Chem. Eng. Q. 22 (1) 85−93 (2016) (30) V = 0.976 (Q N ) 1.2 g 0.6 (36) At 298.15 K, the diffusion coefficient of SO2 in the liquid phase, DA, is 1.49×10-9 m2·s-1; the solubility of Mg(OH)2 in water [4], Bs, is 0.46 mol·m-3. RESULTS AND DISCUSSION The experimental data are the average values of the volume mass transfer coefficient from the beginning to the SO2 concentration detected by the flue gas analyzer reaching 40 mg·m-3. The calculated values according to the Eqs. (28)-(30) by MATLAB are shown in Figures 3–6. Effect of the solid hold-up The effect of the solid hold-up in the Mg(OH)2 slurry on the volume mass transfer coefficient of SO2 is presented in Figure 3, indicating that with increasing the solid hold-up in the Mg(OH)2 slurry, the volume mass transfer coefficient of SO2 increases. In the previous work, four mechanisms of mass transfer enhancement were introduced, including the shuttling mechanism, the boundary layer mixing mechanism, the coalescence inhibition mechanism and boundary layer reaction mechanism [25]. In this work, for gas absorbed chemically into a slurry, the fine particles could provide reactants into the liquid film to enhance the mass transfer process, the enhance of mass transfer could be explained through the boundary layer reaction mechanism. Alper [26-28] introduced the concept of effective film thickness to explain the effect of the catalyst concentration on the mass transfer enhancement for the gas absorption in cat- 89 X. LI, C. ZHU: GAS–LIQUID MASS TRANSFER WITH INSTANTANEOUS… alytic slurry reactors. Alper believed that the effective film thickness would decrease with the increase of the solid concentration. Increasing the solid hold-up would lead to an increase of the number of particles per unit volume of slurry in the liquid film, making the reaction plane shift closer to the interface, which leads to decrease of the effective film thickness and intensify the mass transfer process. The higher the solid hold-up is, the closer the reaction plane shifts to the interface, which provides a higher value of the liquid-side mass transfer coefficient, KL. Thus the total volume mass transfer coefficient of SO2 increases with Mg(OH)2 solid hold-up in the slurry. Chem. Ind. Chem. Eng. Q. 22 (1) 85−93 (2016) fies that the mass transfer model proposed in this paper is reasonable and acceptable in accuracy. Figure 4. Effect of the gas flow rate on the volume mass transfer coefficient, Mg(OH)2 solid hold-up: 0.6356×10-3; inlet partial pressure of SO2: 0.2 kPa. Effect of the particle size and the particle dissolution near the gas-liquid interface Figure 3. Effect of the Mg(OH)2 solid hold-up on the volume mass transfer coefficient, gas flow rate: 20 L·min-1; inlet partial pressure of SO2: 0.2 kPa. Effect of the gas flow rate Figure 4 presents the effect of the gas flow rate on the volume mass transfer coefficient of SO2. It could be found from Figure 4 that, when the gas flow rate increases, the volume mass transfer coefficient of SO2 increases. An increase in the gas flow rate could increase the gas hold-up and provide more gasliquid interfacial area. And increasing the gas flow rate also speeds up the bubble rising velocity, which promotes the turbulence in the liquid, and then leads to the increase of the liquid-side mass transfer coefficient. As a result, the volume mass transfer coefficient of SO2 increases with the increase of the gas flow rate. Figures 3 and 4 show the comparison of experimental mass transfer coefficients with the predicted values; the average deviation of present model is 1%. It can also be seen clearly that the calculated results agree well with the experimental values, which veri- 90 When the solid hold-up is constant, the effect of the particle size near the gas-liquid interface on the volume mass transfer coefficient of SO2 is shown in Figure 5. For a given solid hold-up, when the radius of particle is smaller than 5 μm, the change of the particle size is found to have notable effect on the volume mass transfer coefficient. With the decrease of particle size, the particle number near the gas-liquid interface, especially in the zone between the interface and the reaction plane (0 < x < Λ), increases more and more greatly because the volume of the particle is proportional to the cube of the particle radius. Decreasing the particle size would lead to an increase of the solid-liquid interface area, which would result in a marked increase of the particle dissolution rate (according to Eqs. (9) and (10)). Alper [28] believed that only the size of particle is smaller than the effective thickness could increase the absorption rate for the gas absorption in catalytic slurry reactors. As the particle size increases, it becomes increasingly closer to the effective film thickness, and then the intensification of mass transfer is weakened. In addition, with the increase of particle size (e.g., the particle radius is larger than 7 μm), the influences of the particle size variation on the particle number become small, and the solid-liquid interface area decreases obviously, leading to the decrease of the particle dissolution rate and the reaction rate. Thus, the intensification of mass transfer is weakened and the vol- X. LI, C. ZHU: GAS–LIQUID MASS TRANSFER WITH INSTANTANEOUS… ume mass transfer coefficient is remarkably decreased. Therefore, the influence of the variation of the particle size on the volume mass transfer coefficient becomes more and more significant with the decrease of the particle size. Figure 5. Effect of the radius of particles on the volume mass transfer coefficient, Mg(OH)2 solid hold-up: 0.4237×10-3; inlet partial pressure of SO2: 0.2 kPa. Figure 6 demonstrates the effect of the solubility of the particle reactant in the liquid phase on the volume mass transfer coefficient of SO2. The increase of solubility of the particle reactant in the liquid phase enhances the rate of the particles dissolution rate and the driving force of reactant B transferring from the bulk liquid to the reaction region. Therefore, the concentration of reactant B in reaction region increases, and as a result, the reaction rate is accelerated, the reaction plane moves close to the gas-liquid interface, and the effective thickness of mass transfer is reduced, thus the mass transfer between two phases is obviously intensified [29]. CONCLUSION Mass transfer accompanied by an instantaneous chemical reaction in a slurry bubble columns containing sparingly soluble fine reactant particles has been studied theoretically and experimentally. A model has been developed and analytically solved based on the penetration model. The analytical expression of the time-average mass transfer coefficient has been derived. The fast reactive absorption of SO2 into aqueous Mg(OH)2 slurry in a bubble column was experimentally investigated. The volume mass transfer coefficient of SO2 increases with the increase of the solid hold-up in Mg(OH)2 slurry, the gas flow rate and the solubility of the particle reactant in the liquid phase. For constant solid hold-up of Mg(OH)2, when the particle is large (> 7 μm), the variation of the particle size has little influence on the volume mass transfer coefficient; when the particle is small (< 5 μm), the particle size has notable effect on the volume mass transfer coefficient. The calculated value by the present model agrees well with the experimental data, which validates the proposed mass transfer model. Acknowledgement The authors gratefully acknowledge the financial support of the National Natural Science Foundation of China (No. 21306127). Nomenclature a A A' B C A* Bs CA-B CAL-BL Cavg Cin CL Cout C SO2 Figure 6. Effect of the solubility of B on the total volumetric mass transfer, Mg(OH)2 solid hold-up: 0.8475×10-3; inlet partial pressure of SO2: 0.2 kPa; radius of particles:10 μm. Chem. Ind. Chem. Eng. Q. 22 (1) 85−93 (2016) D DA-B d gas-liquid specific interfacial area (m2 m-3) dimensionless concentration of A, defined by Eq. (21) defined by A+qB dimensionless concentration of B, defined by Eq. (21) interfacial concentration of A (mol·L-1) solubility of B (mol·L-1) concentration of reactant A or B in the micro cell (mol·L-1) liquid concentration of reactant A or B (mol·L-1) average equilibrium concentration of SO2 in the liquid phase (mol·L-1) inlet concentration of SO2 in the gas phase (mol m-3) concentration of SO2 in liquid phase outlet concentration of SO2 in the gas phase (mol m-3) equilibrium concentration of SO2 in the liquid phase (mol·L-1) defined by Eq.(21) molecular diffusivity of A or B (m2 s-1) bubble diameter (m) 91 X. LI, C. ZHU: GAS–LIQUID MASS TRANSFER WITH INSTANTANEOUS… g H k Kg KL gravitational acceleration (m·s-2) Henry coefficient (kmol·m-3·atm-1) defined by Eq.(21) gas-side mass transfer coefficient (m·s-1) liquid-side physical mass transfer coefficient (m·s-1) total mass transfer coefficient (m·s-1) number of holes on the gas distributor plate average flux of A relative to a phase boundary (mol·m-2·s-1) partial pressure of SO2, Pa inlet partial pressure of SO2, Pa outlet partial pressure of SO2, Pa defined by Bs/ C A∗ flow rate of gas (m3·s-1) radial coordinate from the particle (m) radius of the micro cell (m) radius of the particle (m) radius coordinate of the reaction plane in micro-cell (m) consumption rate of A or B per unite volume of slurry (mol·m-3·s-1) average total flux of A in the bubble column (mol·s-1) time (s) temperature (K) superficial gas velocity (m·s-1) rise velocity of a single bubble (m·s-1) average volume of the bubble (m3) volume of the liquid in the bubble column (m3) distance from the surface (m) reaction plane distance from the interface (m) Chem. Ind. Chem. Eng. Q. 22 (1) 85−93 (2016) [3] S. Uchida, K. Koide, W.Y. Shindo, Chem. Eng. Sci. 30 (1975) 644-646 [4] M.V. Dagaonkar, A.A.C.M. Beenackers, V.G. Pangarkar, Chem. Eng. Sci. 56 (2001) 1095-1101 [5] M.V. Dagaonkar, A.A.C.M. Beenackers, V.G. Pangarkar, Chem. Eng. J. 81 (2001) 203-212 [6] F. Scala, Ind. Eng. Chem. Res. 41 (2002) 5187-5195 [7] V.A. Juvekar, A.A. Joshi, R. Thaokar, Ind. Eng. Chem. Res. 46 (2007) 3283-3295 [8] A. Mehra, Chem. Eng. Sci. 51 (1996) 461-477 [9] S. Kakaraniya, C. Kari, R. Verma, A. Mehra, Ind. Eng. Chem. Res. 46 (2007) 1904-1913 [10] S. Kakaraniya, C. Kari, R. Verma, A. Mehra, Ind. Eng. Chem. Res. 46 (2007) 3170-3179 [11] M.K. Akbar, S.M. Ghiaasiaan, Chem. Eng. Sci. 59 (2004) 967-976 [12] J. Patoczka, D.J. Wilson, Sep. Sci. Technol. 19 (1984) 77–93 [13] V.D. Mehta, M.M. Sharma, Chem. Eng. Sci. 21 (1966) 361–365 [14] M. Filla, J.F. Davidson, J.F. Bates, M.A. Eccles, Chem. Eng. Sci. 31 (1976) 359–367 [15] J.S. Cho, N. Wakao, J. Chem. Eng. 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Deckwer, E. Alper, Chemie Ing. Tech. 52 (1980) 219-228 [1] P.A. Ramachandran, M.M. Sharma, Chem. Eng. Sci. 24 (1969) 1681-1686 [28] E. Alper, B. Wichtendahl, W.D. Deckwer, Chem. Eng. Sci. 35 (1980) 217-222 [2] P.A. Ramachandran, Ind. Eng. Chem. Res. 46 (2007) 3137-3152 [29] X.Q. Gao, Y.G. Ma, C.Y. Zhu, G.C. Yu, Chinese J. Chem. Eng. 14 (2006) 158-163. Ktol N NA PSO2 Pin Pout qB Q r rc rp rλ RA-B RSO2 t T ub usingle V VL x xΛ Greek symbols εg εp θ0 η λ Λ ρL ρg σL 92 gas hold-up the solid hold-up of the particles exposure time (s) effective slurry viscosity (kg·m-1·s-1) radius distance of the reaction plane from the particle (m) reaction plane distance from the interface (m) liquid density (kg·m-3) gas density (kg·m-3) surface tension of liquid (N·m-1) X. LI, C. ZHU: GAS–LIQUID MASS TRANSFER WITH INSTANTANEOUS… XIAOLEI LI CHUNYING ZHU School of Chemical Engineering and Technology, State Key Laboratory of Chemical Engineering, Tianjin University, Tianjin, China NAUČNI RAD Chem. Ind. Chem. Eng. Q. 22 (1) 85−93 (2016) PRENOS MASE GAS–TEČNOST PRAĆEN TRENUTNOM HEMIJSKOM REAKCIJOM U BARBOTAŽNOJ KOLONI U PRISUSTVU FINIH ČESTICA REAKTANTA U ovom radu analiziran je teorijski prenos mase praćen trenutnom nepovratnom hemijskom reakcijom u barbotažnoj koloni u prisustvu slabo rastvornih finih čestica reaktanta. Na osnovu teorije penetracije, u kombinaciji sa modelom ćelija, razvijen je jedno-dimenzionalni model prenosa mase. Ovaj model uzima u obzir uticaj veličine čestica i brzine rastvaranja blizu kontaktne površine gas-tečnost na prenos mase. Model prenosa mase je rešen, tako da je dobijen analitički izraz za koeficijent prenosa mase u funkciji vremena. Reaktivna apsorpcija SO2 iz gasne smeše u suspenziji Mg(OH)2 u vodi je eksperimentalno ispitana u reaktoru tipa barbotažne kolone radi validacije modela prenosa mase. Rezultati pokazuju da razvijeni model dobro predviđa koeficijent prenosa mase u komplikovanom trofaznom sistemu gasno-tečno-čvrsto sa trenutnom ireverzibilnom hemijskom reakcijom. Ključne reči: prenos mase, desumporizacija, barbotažna kolona, trenutna reakcija, suspenzija. 93 Available on line at Association of the Chemical Engineers of Serbia AChE www.ache.org.rs/CICEQ Chemical Industry & Chemical Engineering Quarterly Chem. Ind. Chem. Eng. Q. 22 (1) 95−100 (2016) JELENA POPOVIĆ1 GORAN RADENKOVIĆ2 JOVANKA GAŠIĆ1 SLAVOLJUB ŽIVKOVIĆ3 ALEKSANDAR MITIĆ1 MARIJA NIKOLIĆ1 RADOMIR BARAC1 1 Department of Restorative Dentistry and Endodontics, Clinic of Dentistry, Medical Faculty, University of Niš, Niš, Serbia 2 Department of Production Engineering, Faculty of Mechanical Engineering, University of Niš, Niš, Serbia 3 Department of Restorative Dentistry and Endodontics, Faculty of Dentistry, University of Belgrade, Belgrade, Serbia SCIENTIFIC PAPER UDC 669.245:669.14.018.8:616.314-08 DOI 10.2298/CICEQ150103023P CI&CEQ THE EXAMINATION OF SENSITIVITY TO CORROSION OF NICKEL-TITANIUM AND STAINLESS STEEL ENDODONTIC INSTRUMENTS IN TOOTH ROOT CANAL IRRIGATING SOLUTIONS• Article Highlights • Corrosion of Ni-Ti and stainless steel endodontic files in irrigating solutions was examined • Testing of sensitivity to corrosion was performed by dynamic potentiometric method • Measurements were performed in 5.25% NaOCl, 0.2% CHX and 17% EDTA Abstract The application of irrigating solutions is essential in chemomechanical treatment of tooth root canal. However, chemical and electrochemical aggressiveness of the solutions, which directly act on the instruments, may damage their surface. The aim of this study was to investigate the sensitivity of the nickeltitanium (Ni-Ti) and stainless steel endodontic files to corrosive action of the sodium hypochlorite (NaOCl), chlorhexidine gluconate (CHX) and ethylenediamine tetraacetic acid (EDTA). Testing of sensitivity to corrosion of the instruments was performed by dynamic potentiometric method. Measurements were made in 5.25% NaOCl, 0.2% CHX and 17% EDTA. Ni-Ti instruments immersed in 5.25% NaOCl showed the most intensive corrosive changes and the lowest value of pitting potential of 1.1 V. Stainless steel instruments immersed in 5.25% NaOCl showed higher value of pitting potential of 1.5 V. Stainless steel instruments immersed in 0.2% CHX showed lower corrosive surface changes and higher value of pitting potential of 1.6 V, whereas Ni-Ti instruments immersed in 0.2% CHX showed the pitting potential of 1.9 V. The corrosion was not observed in both types of instruments after immersion in 17% EDTA. The use of 5.25% NaOCl and 0.2% CHX may cause severe surface corrosion of Ni-Ti and stainless steel endodontic files. Keywords: corrosion, irrigating solutions, nickel-titanium, stainless steel, endodontic instruments. Chemomechanical root canal preparation is essential during endodontic treatment and involves procedures of cleaning and shaping with endodontic instruments and irrigating solutions. The purpose of mechanical instrumentation is to obtain a continuous Correspondence: J. Popović, Department of Restorative Dentistry and Endodontics, Clinic of Dentistry, Medical Faculty, University of Niš, Blv. Dr Zorana Djindjica 52, 18000 Niš, Serbia. E-mail: jelenadp@gmail.com Paper received: 3 January, 2015 Paper revised: 11 June, 2015 Paper accepted: 5 July, 2015 • The paper was given as poster presentation at the Rosov pin 2014, the second regional roundtable: Refractory, process industry and nanotechnology. tapering funnel shape, flowing with the original canal from the coronal access to the apex. The functions of the irrigants are to act as media for removing debris, as lubricants, to dissolve smear layer from dentinal walls and to promote root canal sterility [1]. Many solutions, such as sodium hypochlorite (NaOCl), hydrogen peroxide (H2O2), citric acid (C6H8O7), ethylenediamine tetraacetic acid (EDTA), chlorhexidine gluconate (CHX) and physiological saline, have been used for root canal irrigation [2]. Even though the benefits of irrigating solutions are essential for chemomechanical preparation, chemical and electrochemical aggressiveness of these solutions may damage the surface of the instruments [3]. 95 J. POPOVIĆ et al.: THE EXAMINATION OF SENSITIVITY TO CORROSION… There are many literature data about susceptibility to corrosion of endodontic instruments in irrigating solutions [2,4]. The corrosion process could be activated during chemomechanical treatment, chemical disinfection of the instruments and sterilization [5]. Corrosion adversely affects the metallic surfaces by causing pitting and porosity, and decreases the cutting efficiency of endodontic files [6]. Several studies [7,8] have shown that corrosion of the endodontic files can degrade the mechanical properties and suddenly cause undesirable cracks that occur during root canal preparations. The purpose of this study was to evaluate sensitivity to corrosion of nickel-titanium and stainlesssteel endodontic files in most commonly used root canal irrigating solutions, NaOCl, CHX and EDTA. EXPERIMENTAL The study included 36 hand endodontic files divided according their type; 18 nickel-titanium (I-FLEX, IMD, USA) and 18 stainless-steel (NTI-Kahla GmbH, Germany). To remove all debris received from the manufacturers, the files were cleaned in an ultrasonic bath (JUS-S01, JEOL) with distilled water for 15 min at the frequency of 28 kHz immediately after taking them from the original packages. Each type of the instrument was divided into three groups according to the irrigant solutions examined in the study, so each group consisted of six files. Measurements were performed in 5.25% NaOCl (prepared in the laboratory), 0.2% CHX (R4, Septodont, France, diluted to 0.2%) and 17% EDTA (prepared in the laboratory). All solutions used in this study were freshly prepared, and stored in adequate conditions. The corrosion behaviour was assessed using potentiodynamic method. The experiments were carried out in an ordinary, three-compartment cylindrical glass cell. The counter electrode was a Pt foil and the reference electrode was a saturated calomel electrode (SCE). All potentials were referred to SCE. The working electrode – endodontic instrument – was placed into the cell in such a way that only the working part of the instrument was immersed in the solution, whereas the base and the hand were above the solution. The instruments were immersed 15 s Chem. Ind. Chem. Eng. Q. 22 (1) 95−100 (2016) before the start of the potential rise and this time was set by the program. Anodic E–I polarization curves were recorded by using software Par Stat by means of the linear sweep technique (sweep rate 0.2 mV/s) in an air atmosphere at room temperature of 23±3 °C. Potential value that showed sharp rise of the current was assigned as pitting potential. The sharp increase of the current was a result of local dissolution of the metal and forming of the pits. The measurements were repeated six times for each solution and the each type of the file, and the results were given as mean values. Statistical analysis was carried out using Student’s t-test and Mann-Whitney U test (SigmaStat statistical software). Electrochemical testings were performed at Department of Production Engineering, Faculty of Mechanical Engineering, University of Niš, and Department of Physical Chemistry and Electrochemistry, Faculty of Technology and Metallurgy, University of Belgrade. RESULTS AND DISCUSSION The results of the study are shown in Table 1. The corrosion resistance was the lowest in the group of Ni-Ti instruments immersed in 5.25% NaOCl. The pitting potential was recorded at 1.1 V (Figure 1). Higher resistance to corrosion was observed in Ni-Ti instruments tested in 0.2% CHX. The measurements showed that the pitting potential was 1.9 V (Figure 2). Based on the obtained results it can be stated that Ni-Ti instruments immersed in 5.25% NaOCl and 0.2% CHX showed current increases and hence the tendency to pitting corrosion (Figures 1 and 2). Comparing the behavior of Ni-Ti instruments in 5.25% NaOCl and 0.2% CHX we can notice that NaOCl caused higher current increase that means less corrosion resistance. Statistical analysis showed that this difference was statistically significant (P < 0.001). On the contrary, Ni-Ti instruments immersed in 17% EDTA showed the highest resistance to corrosion. The rise of the current was not observed in the whole range of examined potentials and the value remained approximately constant (Figure 3). Similar behavior was observed in the group of stainless steel instruments. The increase of current density was also high in 5.25% NaOCl (1.5 V) and Table 1. Pitting potential values of the Ni-Ti and stainless steel instruments in tested irrigant solutions Instrument Ni-Ti Stainless steel 96 Irrigants Mean±SD Std. Error C.I. of Mean Max-Min 5.25% NaOCl 1.1±0.089 0.037 ±0.094 1.2-1.0 Median 1.1 0.2% CHX 1.9±0.141 0.058 ±0.148 2.1-1.7 1.9 5.25% NaOCl 1.5±0.141 0.058 ±0.148 1.7-1.3 1.5 0.2% CHX 1.6±0.063 0.026 ±0.066 1.7-1.5 1.6 J. POPOVIĆ et al.: THE EXAMINATION OF SENSITIVITY TO CORROSION… 0.2% CHX (1.6 V), but the difference was not statistically significant (Figures 4 and 5). No significant increase of current in wide range of examined potentials was observed after immersion of stainless steel instruments in 17% EDTA (Figure 6). -2 Ni-Ti NaOCl 1,0x10 -2 5,0x10 -3 1,0 Ep 1,2 1,4 1,6 Potential, V (SCE) Figure 1. Potentiodynamic polarisation curve of the Ni-Ti file in 5.25% NaOCl. 0,0 -1,0x10 -3 -3 -2 1,2 0,0 Ep 1,2 1,6 1,8 2,0 -2 -4 1,0 1,4 Figure 3. Potentiodynamic polarisation curve of the Ni-Ti file in 17% EDTA. 8,0x10 5,0x10 1,0 Potential, V (SCE) Ni-Ti CHX 1,4 1,6 1,8 2,0 Potential, V (SCE) Figure 2. Potentiodynamic polarisation curve of the Ni-Ti file in 0.2% CHX. Current density, A/cm2 2 Current density, A/cm 1,0x10 Ni-Ti EDTA -2 2 1,0x10 0,0 1,5x10 rosion and deterioration of the endodontic instruments [9-11]. Corrosion is a deterioration of a metal by chemical or an electrochemical reaction with its environment, and a technique that evaluates the electrochemical properties of the instrument-irrigating solutions system would seem most appropriate in studying corrosion [12]. Electrochemical techniques that are based on the electrode potential-current characteristics define the susceptibility of a metal to react with its environment [13]. Current density, A/cm 2 Current density, A/cm 1,5x10 Chem. Ind. Chem. Eng. Q. 22 (1) 95−100 (2016) 6,0x10 4,0x10 2,0x10 -2 -2 -2 Ep 0,0 0,6 According to the examined potentials in both types of the instruments, after immersion in 5.25% NaOCl Ni-Ti instruments showed less corrosion resistance compared to the stainless steel instruments and this difference was statistically significant (P < 0.001). After immersion in 0.2% CHX, Ni-Ti instruments showed higher resistance to corrosion compared to the stainless steel instruments, and the difference was statistically significant (P < 0.01). The chemical mechanisms that occur either during instrumentation and irrigation of the root canal system, or after instrumentation (in procedures of instrument disinfection and sterilization), may cause cor- SS NaOCl 0,8 1,0 1,2 1,4 1,6 1,8 Potential, V (SCE) Figure 4. Potentiodynamic polarisation curve of the stainless steel file in 5.25% NaOCl. During endodontic therapy, the most frequently used irrigant is sodium hypochlorite (NaOCl) in a concentration range of 0.5–6% [14]. It is an agent with wide spectrum of antimicrobial action and tissue dissolution capacity [15], which is also used as a presoaking solution in cleaning procedures of endodontic instruments after clinical use [9]. However, it is highly corrosive to metals and could cause corrosion of the endodontic files. Corrosion pattern involves pitting 97 J. POPOVIĆ et al.: THE EXAMINATION OF SENSITIVITY TO CORROSION… -3 Current density, A/cm2 1,5x10 SS CHX -3 1,0x10 -4 5,0x10 0,0 Ep -4 -5,0x10 0,8 1,0 1,2 1,4 1,6 1,8 2,0 Potential, V (SCE) Figure 5. Potentiodynamic polarisation curve of the stainless steel file in 0.2% CHX. Chlorhexidine gluconat (CHX) at concentrations 0.1-2% is a broad spectrum antimicrobial agent that is used during root canal irrigation. Its cationic structure provides a unique property, named substantivity. This prolonged antimicrobial activity in the root canal may last up to 12 weeks [22]. However, the literature data revealed that CHX can cause severe corrosion of 98 endodontic instruments [2]. The results of this study confirmed that intensive surface corrosion can occur after immersion of the files in 0.2% CHX. According to the Matamala [23], this high rate of corrosive changes may depend on its acidic pH (5.72), as the acidic environment increases the corrosion rate. Current density, A/cm2 and potentially weakening of the structure of the instruments [16]. NaOCl contains active Cl-, and it is well-known that Cl- is an aggressive ion that generally increases corrosion rates [17]. This study showed that the corrosion rate of the endodontic files was high in 5.25% NaOCl. These results are in accordance with the results of earlier studies and confirm that the corrosion of endodontic files in NaOCl is possible. NaOCl is corrosive to many metals and selectively removes nickel from the Ni-Ti alloy [18]. Busslinger et al. [19] found measurable release of titanium when Lightspeed Ni-Ti files were immersed in NaOCl solution for 30 and 60 min. In the study of Stokes et al. [6] corrosion was visually observed on endodontic files after immersion in 5.25% NaOCl, there was significant difference in corrosion frequency between brands, but there was no difference between stainless steel and Ni-Ti instruments. Oztan et al. [2] revealed severe corrosion on the surface of the stainless steel endodontic instruments after immersion in 5.25% NaOCl, in accordance to O’Hoy et al. [9] who have shown evident signs of corrosion after overnight immersion of endodontic instruments in NaOCl. The fact that chloride and fluoride ions have negative effects on the corrosion resistance of stainless steel and Ni-Ti alloys is used in few investigations to promote electrochemical dissolution and removing endodontic instruments in cases where they are fractured in the root canal system [20,21]. Chem. Ind. Chem. Eng. Q. 22 (1) 95−100 (2016) 1,5x10 -3 1,0x10 -3 5,0x10 -4 SS EDTA 0,0 -4 -5,0x10 Ep -3 -1,0x10 0,8 1,0 1,2 1,4 1,6 1,8 Potential, V(SCE) Figure 6. Potentiodynamic polarisation curve of the stainless steel file in 17% EDTA. Ethylenediamine tetraacetic acid (EDTA) is the chelating irrigant with inorganic tissue dissolution capacity, and is used due to ability to lubricate and facilitate root canal instrumentation especially in preparation of narrow and curved root canals. In endodontics it is used as 15-17% solution [24]. The results of potentiodynamic test in this study did not reveal corrosion of endodontic files after immersion in 17% EDTA, and it was in accordance with literature data [2,4,25]. Öztan et al. [2] have reported the lowest corrosion rate of stainless steel endodontic files in 17% EDTA. They have stated that EDTA forms complexes with metal ions (Fe, Ni, Cr, Co, etc.) at pH values < 4. EDTA’s ability to protect and passivate instruments is due to its ability to complex with iron to form an inhibiting barrier to oxidation and corrosion [26]. According to Darabara et al. [4], large molecules of R-EDTA have greater difficulty in concentrating and orienting the pit so as to increase the acidity to adequate values for trigger corrosion. Atomic force microscopic evaluation of Fayyad and Mahran [25] showed that immersion in 17% EDTA did not affect the surface roughness of the Ni-Ti endodontic instruments. Endodontic files and reamers are generally accepted as reusable instruments. In purpose to eliminate the risk of infection transmission, these instruments need to be cleaned and sterilized thoroughly after clinical use [27]. However, these procedures could potentiate surface corrosion in irrigating sol- J. POPOVIĆ et al.: THE EXAMINATION OF SENSITIVITY TO CORROSION… utions [28]. Casella and Rosalbino [29] confirmed that sterilization process had negative influence on the corrosion behavior of endodontic instruments, and the effect appears to be more dramatic for longer sterilization treatment periods. The presence of protein debris in form of ground tooth structure or collagen, with NaOCl solutions, could increase the severity of the surface attack on the instrument [13]. Stokes et al. [6] evaluated the corrosive effect of 5.25% NaOCl on stainless steel and Ni-TI files using five commercial brands. They reported that both the corroding and non-corroding files were present in the same packages. Those results showed that the severity of corrosive changes could also depend on manufacturing process and quality control. CONCLUSION The results of this study indicated that 5.25% NaOCl and 0.2% CHX, used as root canal irrigants, cause severe corrosion on the surface of the Ni-Ti and stainless steel endodontic files. The use of EDTA did not cause corrosion of the surface of both types of instruments. Due to the possibility of corrosion acting to deteriorate endodontic instruments, irrigants should be rinsed from files immediately after use and files should be replaced frequently. Acknowledgement This work has been supported by the grant No. 175102 of the Serbian Ministry Education, Science and Technological Development. Chem. Ind. Chem. Eng. Q. 22 (1) 95−100 (2016) [7] Y. Shen, M, Haapasalo, G.S. Cheung, B. Peng, J. Endod. 35 (2009) 129-132 [8] Y. Shen, G.S. Cheung, B. Peng, M. Haapasalo, J. Endod. 35 (2009) 133-136 [9] P.Y.Z. O’Hoy, H.H. Messer, J.E.A. Palamara, Int. Endod. J. 36 (2003) 724-732 [10] A.A. Yahya, K.W. Majida, AL-Hashimi, J. Bagh. College. Dentistry. 21 (2009) 53-59 [11] G. Spagnuolo, G. Ametrano, D. D’Antò, C. Rengo, M. Simeone, M. Riccitiello, M. Amato, Int. Endod. J. 45 (2012) 1148–1155 [12] G. Radenković, S.K. Zečević, Z. Cvijović, D.M. Dražić, J. Serb. Chem. Soc. 60 (1995) 51-59 [13] H.J. Mueller, J. Endod. 8 (1982) 246-252 [14] I. Heling, I. Rotstein, T. Dinur, Y. Szwec-Levine, D. Steinberg, J. Endod. 27 (2001) 278-280 [15] S. Stojicic, S. Zivkovic, W. Qian, H. Zhang, M. Haapasalo, J. Endod. 36 (2010) 1558-1562 [16] E. Berutti, E. Angelini, M. Rigolone, G. Migliaretti, D. Pasqualini, Int. Endod. J. 39 (2006) 693-699 [17] H. Katayama, M. Yamamoto, T. Kodama, Corros. Eng. 49 (2000) 41-44 [18] N.K. Sarkar, W. Redmond, B. Schwaninger, A.J. Goldberg, J. Oral. Rehabil. 10 (1983) 121-128 [19] A. Busslinger, B. Sener, F. Barbakow, Int. Endod. J. 31 (1998) 290-294 [20] L.R.L. Aboud, F. Ormiga, J.A.C.P. Gomes, Int. Endod. J. 47 (2014) 155-162 [21] C.C.F. Amaral, F. Ormiga, J.A.C.P. Gomes, Int Endod. J. 48 (2015) 137-144 [22] J. Gasic, J. Popovic, S. Zivkovic, A. Petrovic, R. Barac, M. Nikolic, Microsc. Res. Tech. 75 (2012) 1099-1103 [23] G.R. Matamala, Corrosion. 43 (1987) 97-100 [24] M. Hülsmann, M. Heckendorff, A. Lennon, Int. Endod. J. 36 (2003) 810-830 [25] D.M. Fayyad, A.H. Mahran, Int. Endod. J. 47 (2014) 567–573 REFERENCES [1] J. Walcott, V.T. Himel, J. Endod. 23 (1997) 217-224 [2] D.M. Öztan, A.A. Akman, L. Zaimoglu, S. Bilgiç, Int. Endod. J. 35 (2002) 655-659 [26] G. Reinhard, M. Radtke, U. Rammelt, Corros. Sci. 33 (1992) 307-313 [3] B.C. Sağlam, S. Koçak, M.M. Koçak, Ö. Topuz, Microsc. Res. Tech. 75 (2012) 1534-1538 [27] [4] M. Darabara, L. Bourithis, S. Zinelis, G.D. Papadimitriou, Int. Endod. J. 37 (2004) 705–710 M.A. Saghiri, F. Garcia-Godoy, M. Lotfi, P. Mehrvazfar, M. Aminsobhani, S. Rezaie, K. Asgar, Scanning. 34 (2012) 309-315 [28] [5] K. Sood, B. Mohan, L. Lakshminarayanan, Endodontology 18 (2006) 34-41 X.R. Nóvoa, B. Martin-Biedma, P. Varela-Patiño, A. Collazo, A. Macías-Luaces, G. Cantatore, M.C. Pérez, F. Magán-Muñoz, Int. Endod. J. 40 (2007) 36–44 [6] W.O. Stokes, M.P. Di Fiore, T.J. Barss, A. Koerber, L.J. Gilbert, P.E. Lautenschlager, J. Endod. 25 (1999) 17-20 [29] G. Casella, F. Rosalbino, Corros. Eng. Sci. Technol. 46 (2011) 521-523. 99 J. POPOVIĆ et al.: THE EXAMINATION OF SENSITIVITY TO CORROSION… JELENA POPOVIĆ1 GORAN RADENKOVIĆ2 JOVANKA GAŠIĆ1 SLAVOLJUB ŽIVKOVIĆ3 ALEKSANDAR MITIĆ1 MARIJA NIKOLIĆ1 RADOMIR BARAC1 1 Odeljenje za bolesti zuba i endodonciju, Klinika za stomatologiju, Medicinski fakultet, Univerzitet u Nišu, Niš, Srbija 2 Katedra za proizvodno-informacione tehnologije i menadžment, Mašinski fakultet, Univerzitet u Nišu, Niš, Srbija 3 Klinika za bolesti zuba i endodonciju, Stomatološki fakultet, Univerzitet u Beogradu, Beograd, Srbija NAUČNI RAD Chem. Ind. Chem. Eng. Q. 22 (1) 95−100 (2016) ISPITIVANJE OSETLJIVOSTI ENDODONTSKIH INSTRUMENATA OD NIKL-TITANIJUMA I NERĐAJUĆEG ČELIKA NA KOROZIJU U RASTVORIMA ZA IRIGACIJU KANALA KORENA ZUBA Primena sredstava za irigaciju kanala korena zuba je od suštinskog značaja u endodontskoj terapiji. Međutim, hemijska i elektrohemijska agresivnost ovih rastvora, koji direktno deluju na instrumente, može oštetiti njihovu površinu. Cilj istraživanja je bilo ispitivanje osetljivosti endodontskih turpija od nerđajućeg čelika i nikl-titanijuma (Ni-Ti) na koroziono delovanje natrijum-hipohlorita (NaOCl), hlorheksidin-glukonata (CHX) i etilendiamin tetrasirćetne kiseline (EDTA). Ispitivanje otpornosti instrumenata na koroziju je izvedeno potenciodinamičkom metodom. Merenje je izvedeno u rastvorima 5,25% NaOCl, 0,2% CHX i 17% EDTA. Najintenzivnije korozione promene i najnižu vrednost piting potencijala od 1.1 V su pokazali Ni-Ti instrumenti potapani u 5,25% NaOCl. Višu vrednost piting potencijala od 1.5 V su pokazali instrumenti od nerđajućeg čelika posle potapanja u 5,25% NaOCl. Manji intenzitet korozionih promena i piting potencijal od 1.6 V pokazali su instrumenti od nerđajućeg čelika potapani u 0,2% CHX, dok su Ni-Ti instrumenti potapani u 0,2% CHX pokazali vrednost piting potencijala od 1.9 V. Korozija nije zapažena kod obe vrste instrumenata nakon potapanja u 17% EDTA. Primena 5,25% NaOCl i 0,2% CHX može izazvati ozbiljnu koroziju površina endodontskih turpija od nerđajućeg čelika i nikl-titanijuma. Ključne reči: korozija, irigacioni rastvori, nikl-titanijum, nerđajući čelik, endodontski instrumenti. 100 Available on line at Association of the Chemical Engineers of Serbia AChE www.ache.org.rs/CICEQ Chemical Industry & Chemical Engineering Quarterly Chem. Ind. Chem. Eng. Q. 22 (1) 101−110 (2016) O.S. GLAVAŠKI1 S.D. PETROVIĆ2 V.N. RAJAKOVIĆ-OGNJANOVIĆ3 T.M. ZEREMSKI1 A.M. DUGANDŽIĆ2 D.Ž. MIJIN2 1 Institute of Field and Vegetable Crops, Novi Sad, Serbia 2 Faculty of Technology and Metallurgy, University of Belgrade, Belgrade, Serbia 3 Faculty of Civil Engineering, University of Belgrade, Bulevar Belgrade, Serbia SCIENTIFIC PAPER UDC 543.544:632.954:66 DOI 10.2298/CICEQ150608025G CI&CEQ PHOTODEGRADATION OF DIMETHENAMID-P IN DEIONISED AND GROUND WATER Article Highlights • Photocatalytic degradation of dimethenamid-P herbicide is presented • Degradation was studied in deionised and ground water under different conditions • Photocatalytic degradation of dimethenamid-P is much faster in ground water • HPLC showed almost complete removal of herbicide after 90 min in both water • TOC showed herbicide was mineralized 64% in deionised and 50% in ground water Abstract The study of photodegradation of dimethenamid-P herbicide was performed in deionised and ground water using TiO2 as a catalyst under UV light. The effect of electron acceptor (H2O2), scavenger of •OH radicals (C2H5OH) and scavenger of holes (NaCl and Na2SO4) as well as solution pH was analyzed. The photodegradation of dimethenamid-P was followed by HPLC. The formation of transformation products was followed using high performance liquid chromatography-electrospray mass spectrometry. Ion chromatography and total organic carbon measurements were used for the determination of the mineralization level. HPLC analysis showed the almost complete removal of herbicide after 90 min in deionised and ground water, while total organic carbon analysis showed that dimethenamid-P was mineralized 64 and 50% in deionised and ground water, respectively. The ion chromatography results showed that the mineralization process leads to the formation of chloride, sulphate and nitrate anions during the process. Transformation products were identified and the degradation mechanism was proposed. Keywords: salt effect; ion chromatography; liquid chromatography-electrospray mass spectrometry; photocatalysis; titanium dioxide. Modern agricultural production in the last decade involves the use of pesticides to a large extent. Dimethenamid-P (2-chloro-N-(2,4-dimethyl-3-thienyl)-N-(2-methoxy-1-methylethyl) acetamide, DMA-P) belongs by its chemical properties and structure to the group of chloroacetamides and plays an important role in the crop protection of broadleaf weeds and annual grasses in row crops [1], primarily in corn, soybean and sorghum [2]. These components include highly toxic and persistent substances and due to exceptional reactivity threaten to jeopardize the aquatic environment through agricultural circle and washing [3-5]. The European Union has stipulated that the Correspondence: D.Ž. Mijin, Faculty of Technology and Metallurgy, University of Belgrade, Karnegijeva 4, 11120 Belgrade, Serbia. E-mail: kavur@tmf.bg.ac.rs Paper received: 8 June, 2015 Paper revised: 6 July, 2015 Paper accepted: 8 July, 2015 levels of pesticides in drinking water should not exceed 0.1 mg dm-3 for the individual components, i.e., for some of their transformation products concentration should not exceed 0.5 mg dm-3 [6]. Within the strategy of protection of environmental resources, heterogeneous photocatalysis has proved to be one of the most effective techniques for the degradation of organic pollutants [7]. It involves fotoinduction reaction accelerated by a solid catalyst [8]. TiO2 as a photocatalytic semiconductor is the most suitable chemical compound for removal of harmful substances from the environment by photocatalytic process. Its chemical inertness, stability to the photo and chemical corrosion, as well as low price are its advantages as a catalyst [9]. Photocatalytic degradation is based on the irradiation of UV light, which results in the generation of oxidative species that are characterized by high and non-selective reactivity, so they can easily attack and decompose the 101 O.S. GLAVAŠKI et al.: PHOTODEGRADATION OF DIMETHENAMID-P… molecules of organic pollutants. Photon has energy which is greater or equal to the band gap energy of semiconductor (TiO2). In that way electron (e–) from the valence band (VB) excitates to the conduction band (CB), leaving a positive hole (h+) behind. The energy level at the bottom of the valence zone effectively reduces the potential of photoelectrons, while the peak energy of the valence zone creates its ability to oxidize. Electrons and cavities migrate to the surface of the catalyst and reduce species present on its surface. Photogenerated cavities may oxidize organic molecules or react with OH−, or H2O, oxidising them to •OH. Photogenerated electrons can also react with oxygen, translating it into superoxide anion O2−• radical. This reaction leads to additional formation of •OH. These radicals as very strong oxidative agents having the ability to oxidize organic pollutants adsorbed on the surface of TiO2 to mineral products [10]. Redox reactions including photons can be presented by Eqs. (1)-(5): TiO2 + hν(UV) → TiO2(e−CB + h+VB) TiO2(h +VB TiO2(e −CB •− + • ) + H2O → TiO2 + H + OH ) + O2 → TiO2 + O2 + O2 + H → HO2 •− • HO2• + H+ + TiO2(e−CB) → H2O2 + TiO2 (1) (2) (3) (4) (5) Conclusively, photocatalytic degradation of pesticides can be presented in simplified form by Eqs. (6)-(8): Pesticide + h+VB → oxidation products Pesticide + e −CB → reduction products Pesticide + •OH → transformation products (6) (7) (8) In order to get higher yield, agriculture relies on the application of pesticides. The negative effects of pesticides on the quality of ground and surface water are well known [5]. The environmental issues concerning pesticides comprehend: inadequate control of the usage (excessive concentrations of pesticides), non-biodegradability, long decomposition time and high mobility in different eco-systems. Dimethenamid-P belongs to the group of chloroacetamides which are persistent organic pollutants. Its specific feature is the migration from the soil to the ground and groundwater [2]. In this work, the study on the photocatalytic behavior of DMA-P in aquatic environment is presented for the first time. the influence of various parameters on the photocatalytic process, such as the initial concentration of catalyst, initial DMA-P concentration, the concentration of added H2O2, C2H5OH, 102 Chem. Ind. Chem. Eng. Q. 22 (1) 101−110 (2016) NaCl, and Na2SO4 as well as pH value of water solution in two different types of water (deionised and ground water) were studied. HPLC/MS (high performance liquid chromatography-electrospray mass spectrometry) were applied for qualitative identification of transformation products. EXPERIMENTAL Materials DMA-P (purity higher than 99%) was supplied by Riedel de-Haen (Seelze-Hannover, Germany). Titanium dioxide (TiO2) labeled as P25 supplied by Evonik was used in experimental part of the work. All other chemicals were p.a. or higher grade. Deionized water (DW) was obtained from a Millipore water purification system. Ground water (GW) was obtained from public-utility company Water supply and sewage treatment in Novi Sad, as alluvium of Danube. The ground water contains 269.6 mg dm-3 of HCO3−/CO32–, 57.5 mg dm-3 of SO42−, 20 mg dm-3 of Cl–, 1.496 mg dm-3 of NO3–, 0.343 mg dm-3 of Mn2+, 0.600 mg dm-3 of NH3, 84 mg dm-3 of Ca2+, 17.5 mg dm-3 of Mg2+ and 2.810 mg dm-3 of Fe (total). Conductivity of deionized and ground water was 0.55 and 58.5 µS cm–1 while pH was 5.9 and 7.20, respectively. Photocatalytic experiment The photodegradation of DMA-P was investigated in two different types of water, in the deionised and ground water, with pesticide concentration of 34.5 mg dm-3. All the reactions were performed in an open reactor, thermostated at 25 °C [11]. For the irradiation an Osram Ultra Vitalux® 300 W lamp was used, with ratio of UV-A and UV-B lights 13.6:3. The position of lamp was 40 cm from the surface of the reaction mixture. The temperature of solution changed for 2 °C after 90 min of irradiation. For every experimental cycle 25 cm3 of the solution was placed into the reactor and stirred for 30 min in the dark. Continuous stirring was maintained during the reaction. The aliquots were taken at defined time intervals (after 10, 20, 30, 60 and 90 min from the beginning of the reaction). All the aliquots were filtrated by 0.45 μm Cronus 13 mm Nylon Syringe filters, in order to remove the suspended TiO2 particles before the analysis. All the experiments were done in triplicate. Analytical procedures During 90 min of irradiation time, the samples were taken from the suspension. The concentration of herbicide was determined by HPLC (high performance liquid chromatography) analysis. All analysis were performed at room temperature. O.S. GLAVAŠKI et al.: PHOTODEGRADATION OF DIMETHENAMID-P… The HPLC determinations were carried out with HPLC instrument Agilent 1100 Series equipped with Zorbax Eclipse XDB-C18 (Agilent). The analyses were performed in isocratic mode using water/methanol/acetic acid (200:300:5 V/V/V), the mobile phase had flow rate of 0.8 cm3 min-1 and the column temperature was 25 °C. The injection volume was 5 μL and UV detection was carried out at 240.4 nm. The pH value of the samples was adjusted by the addition of 0.1 mol dm-3 NaOH or HCl and the determination of pH value was performed on pH metar Inolab pH 730 (Germany). The chromatographic separations were followed by an MS analyzer, Hypersil Gold Thermo Scientific (Bremen, Germany) (50 mm×2.1 mm, 3 mm particle size) termostated at 25 °C using a Thermo survey (USA) HPLC instrument. Injection volume was 50 μL and flow rate was 0.2 cm3 min-1. The mobile phases were: A (0.10% acetic acid/99.9% water) and B (0.10% acetic acid/99.9% acetonitrile). The analyses were performed in isocratic mode. A LCQ Deca mass spectrometer equipped with an atmospheric pressure interface and an ESI ion source was used as a detector. The LC column effluent was delivered into the ion source using nitrogen as sheath and auxiliary gas. The tuning parameters adopted for ESI source were: capillary voltage 45 V, capillary temperature 275 °C, spray voltage 6 kV and gas flow was 20 arbitrary units. The analysis was performed in positive ion mode. Mass spectra were recorded across the range 100–400 m/z. Ion chromatographic (IC) analysis was performed on a Dionex DX-300 ion chromatograph at ambient temperature (25 °C) with a suppressed conductivity detector. Ion chromatograph was equipped with a Dionex IonPac AS14 column. Total organic carbon (TOC) was measured using a Zellweger LabTOC 2100 instrument. RESULTS AND DISCUSSION Preliminary experiments In the beginning of the photocatalytic study, three different experiments have been carried out in aqueous environmental matrices with the aim to evaluate adsorption and photolysis of the studied DMA-P. These experiments were conducted under the following conditions: a) investigation of DMA-P adsorption on the TiO2 in the dark (Ckat: 2.0 g dm-3, C(DMA-P) 0: 34.5 mg dm-3, V: 25 cm3, T: 25 °C), Chem. Ind. Chem. Eng. Q. 22 (1) 101−110 (2016) b) investigation of DMA-P degradation under UV light, in the absence of TiO2 (photolysis) (C(DMA-P) 0: 34.5 mg dm-3, V: 25 cm3, T: 25 °C), c) heterogeneous photocatalysis of DMA-P solution under UV light and a catalyst (Ckat: 2.0 g dm-3, C(DMA-P) 0: 34.5 mg dm-3, V: 25 cm3, T: 25 °C). DMA-P concentrations have not changed significantly in the case of adsorption and photolysis. The results of the adsorption experiment show slight decrease in herbicide concentration (less than 5%) during a period of 90 min, indicating only slight adsorption on the TiO2 surface. Photolysis results show insignificant fall of the initial concentration of DMA-P. On the other hand, photocatalysis shows almost complete destruction of this active substance (more than 99% determined by HPLC) both in deionised and ground water. The comparison of photocatalysis and adsorption processes implies that stirring of suspension for 30 min in the dark prior to the photocatalysis process is an important step for reaching the adsorption equilibrium [9]. To determine the optimum concentration of TiO2 for the photodegradation of DMA-P, experiments were conducted by varying the initial concentration of TiO2 from 0.5 to 3.0 g dm–3, while keeping other parameters constant. It was found out that the maximum removal efficiency of the chloroacetamide has been achieved with the catalyst concentration of 2.0 g dm–3, and, therefore, this concentration of TiO2 has been selected as the optimum one. Further increase of the catalyst concentration decreases the rate of photodegradation, and reduces the efficiency of degradation process. Theoretically, the increase of the catalyst concentration above an optimum value should not have effect on the photodegradation rate since all the light available is already utilized. However, higher mass concentrations of TiO2 Evonik P25 led to the aggregation of its particles and thus to a decrease of contact surface between the substrate and the photocatalyst. This caused a decrease in the number of active sites and a lower rate of photodegradation. When the concentration of catalyst is exceeded, a part of the UV light is not utilized because of the increased turbidity of solution and increased light scattering by the photocatalyst particles, and therefore the overall performance decreases [12]. Initial concentration of DMA-P affects the rate of its photocatalytic degradation. The increase of the initial substrate concentration on the catalyst surface number of molecules/ions that react with •OH increases and the rate of degradation decreases. The increase of the initial substrate concentration above an optimum value leads to the decrease of the effi- 103 O.S. GLAVAŠKI et al.: PHOTODEGRADATION OF DIMETHENAMID-P… ciency of the photocatalytic process. the substrate molecules may adsorb on the catalyst surface instead of OH– and water molecules, which then result in the generation of fewer •OH [7,9]. But since very small adsorption was observed, the reduced photoactivity of semiconductor may be due to the absorbtion of light by organic molecules [13]. The effect of the pH value The influence of pH value on the photocatalytic degradation can be explained by electrostatic interactions between the surface of TiO2, solvent molecules, substrate and electrically charged radicals formed during the process. At pH values above the value of point of zero charge (PZC) of TiO2 (6.8), the surface will remain negatively charged. For pH < PZC the surface will remain positively charged [14]. For the influence of pH value on the photocatalytic degradation five different pH values were analyzed. The adjustments of acidic medium (pH 2.0 and 4.0) and alkaline medium (pH 9.0 and 11.0) were made with diluted HCl or NaOH. Before any adjustments the pH value of pesticide solution in DW and GW was measured and the obtained values were 6.33 and 7.34 for DW and GW, respectively. The photocatalytic degradation rate of DMA-P in DW and GW as a function of pH value is shown in Figure 1. Lower degradation rate for both aqueous media was at pH values near to PZC. The possible explanation for this phenomenon is the fact that the TiO2 particles tend to agglomerate and thus decrease the yield of degradation. As reported, at pH values equal to the PZC, aggregate particles are larger, and number of active sites on the catalyst surface is decreased and degradation rate reduced [15,16]. Figure 1. The effect of pH value on the photocatalytic degradation rate of DMA-P (34.5 mg dm-3) in deionised and ground water (ccat 2.0 g dm-3). 104 Chem. Ind. Chem. Eng. Q. 22 (1) 101−110 (2016) The difference in DMA-P degradation rate caused by the change of pH value was more significant in ground than in the deionised water. The reaction rate in ground water is decreased in neutral and in the alkaline medium and pH has an insignificant effect on the rate of degradation in deionised water. The explanation for the effect of pH on the photocatalytic reaction might be in the influence of electrically charged surface of the TiO2 on the physical and chemical properties of the parent molecule. Although DMA-P molecule is electrically neutral it can be repulsed from the negatively charged surface of the photocatalyst at pH value above 6.8 due to unequal distribution of electron density in the substrate molecule when electronegative atom like Cl is present [4]. The disappearance rate in the process of photocatalytic degradation can be described by a pseudofirst kinetic order, as shown by Eqs. (9) and (10): C ln 0 = kt C C = C 0e −kt (9) (10) where C is the concentration of DMA-P at irradiation time t, and C0 is the initial concentration of DMA–P. The effect of the addition of electron acceptor When TiO2 is used as a photocatalyst, one of the problems that arise is the recombination of the e–h+ pair. This problem is particularly apparent in the absence of appropriate electron acceptors which also reduces the efficiency of photocatalytic reaction [17]. In order to enhance the formation of •OH and inhibit e–h+ pair recombination, the effect of addition of H2O2 as an electron acceptor on the efficiency of photodegradation has been investigated in a number of experiments conducted in both deionised and ground water [17,18]. In this study, a series of experiments has been carried out in both media. The obtained results have shown that for H2O2 concentration of up to 0.005 mol dm-3 the reaction time is increased by 2 times in deionised water and by 1.6 times in ground water (as shown in Figure 2). This may be due to the increased concentration of •OH. Faster degradation rate in the presence of H2O2 may be attributed to the generation of •OH and OH– in the presence of UV radiation, and not to the formation of less powerful O2•- oxidant by the reduction of O2 [19]. At higher concentrations (above 0.005 mol dm-3), H2O2 acts as a “scavenger” of •OH and holes on the catalyst surface, leading to the formation of HO2• that react with •OH to generate oxygen and water as illustrated O.S. GLAVAŠKI et al.: PHOTODEGRADATION OF DIMETHENAMID-P… by Eqs. (11) and (12). As the result, the efficiency of photocatalytic degradation is reduced. H2O2 + •OH → HO2• + H2O + • + H2O2 + h → HO2 + H (11) (12) Chem. Ind. Chem. Eng. Q. 22 (1) 101−110 (2016) the inhibition of catalytic degradation is more pronounced in ground water where gradual addition of ethanol (up to 0.8 mol dm-3) decreases the reaction rate 15 times, while in deionised water the reaction rate decreases 3 times under the same conditions. According to some researchers, if reaction products, such as oxygen and H2O2 are not present near the surface of TiO2, electron-hole pairs recombine and adsorbed energy is dissipated as heat. H2O2 added in smaller concentrations is able to prevent this reaction [4]. Figure 3. The effect of the added of C2H5OH on the photocatalytic degradation rate of DMA-P (34.5 mg dm-3) in deionised and ground water (ccat 2.0 g dm-3). The effect of the inorganic ions Figure 2. The effect of the added H2O2 on the photocatalytic degradation rate of DPA-P (34.5 mg dm-3) in deionised and ground water (ccat 2.0 g dm-3). The effect of the •OH scavenger To confirm and to prove if heterogeneous photocatalysis is taking place through •OH, the effect of ethanol added in the reaction mixture containing DMA-P and TiO2 Evonik P25 on the reaction rate has been investigated in both deionised and ground water (Figure 3). It was determined that as the ethanol concentration increases, the degradation rate decreases, compared with the same reaction without addition of this solvent. The obtained result is in agreement with previous research from this field [20]. In the same research the effect of various solvents on the photocatalytic degradation of benzidene yellow was studied. The results showed that the degradation efficiency decreases with the addition of solvents in the following order: hexane < acetonitrile < 2-propanol < < 1-butanol < 2-methyl-2-propanol. The obtained results confirm that alcohols are good •OH scavengers and the products of reaction are weaker oxidants (alkoxy-radicals) that react with the substrate. The results obtained in the present study also show that When comparing the results of the rate of photocatalytic degradation of DMA-P in two types of water, the great difference can be noticed. The rate of decomposition of DMA-P in ground water is two times faster than in deionised water. This could be ascribed to the presence of nitrate ions. Reaction of nitrate ions with photons ends with hydroxyl radicals according to the Eqs (13)-(15) [21]: NO3– + hν → NO2– + O (13) NO3– + hν → NO2• + O•– (14) •– • • O + H2O → OH + OH (15) Taking into account the fact that groundwater from the Danube alluvium is slightly alkaline it can be expected that hydroxyl radicals formed together with photogenerated oxidative species generated with the irradiated TiO2, have higher degradation rates of DMA-P. Chen et al. [21] reported that NO3– as constituents found in natural waters absorb solar radiation in UV range less than 350 nm with maximum at 302 nm. Photolysis of these anions leads to formation of •OH under influence of UV radiation, as shown by Eqs (13)-(15). Ground water also contains dissolved metal ions, such as Fe3+, Mn2+, Ca2+ and Mg2+. Wei et al. indicated another possible explanation for the differ- 105 O.S. GLAVAŠKI et al.: PHOTODEGRADATION OF DIMETHENAMID-P… ences observed in the kinetics of the process taking place in these two aqueous media [22]. The effect of Fe3+ on the photodegradation efficiency of metamidophos was studied by varying amount of Fe3+ from 0.001 to 0.8 mmol dm-3. The results showed that when higher Fe3+ concentrations were added (up to 0.5 mmol dm-3) its photodegradation efficiency increased rapidly (from 37.3 to 55.0%). When the concentration of this cation exceeds this value, photodegradation efficiency is greatly reduced. It has been concluded that positively charged Fe3+ absorbed on surface of the TiO2 are more easily reduced (Fe3+ + e– → Fe2+) thus decreasing electron-hole pair recombination. This favours the formation of •OH and O22– on the surface of the TiO2. The following reactions occur at the same time: Fe2+ + H2O2 + H+ → Fe3++ •OH + H2O 2+ • + 3+ Fe + HO2 + H → Fe + H2O2 Chem. Ind. Chem. Eng. Q. 22 (1) 101−110 (2016) Cl– + h+ → Cl• – (18) • Cl + OH → ClOH •– •– (19) • + ClOH + H → Cl + H2O • – Cl + Cl → Cl2 (20) •– (21) SO42– + h+ → SO4•2– 2– • •– (22) - SO4 + OH → SO4 + OH •– – SO4 + eCB → SO4 2– (23) (24) (16) (17) It has also been shown that the presence of Na+, K+, Ca2+ and Mg2+ has no effect on the photodegradation rate. This is explained by the fact that these ions are in their most stable oxidation state and as such they do not show affinity for bonding photogenerated electrons and holes [23]. Physicochemical composition of groundwater indicates the presence of HCO3–. When investigating the previous studies the effects of HCO3– on the rate of photocatalytic degradation, showed that concentrations above 0.1 mol dm-3 lead to reduced photodegradation efficiency due to the formation of greater number of CO3•- radical-ions which are less reactive than •OH [24]. However, in ground water where pH is slightly alkaline, HCO3- are present to a greater extent than CO32- and their concentration in this medium is below 0.05 mol dm-3, being, according to the findings of Lair et al., the most probable explanation for increased efficiency of herbicide degradation [25]. The effect of the added salts In addition, the salt effect on the reaction rate (Figure 4) was studied, using NaCl and Na2SO4. The salts were used at concentrations of 20 and 200 mmol dm-3, for each of the added salts. As can be seen from Figure 4, the photodegradation reaction is slower in the presence of salts in deionized water. Sodium chloride proved to be the stronger inhibitor than sodium sulfate. While chloride ions have hole scavenging properties, sulfate anions react with positive holes and hydroxyl radicals [26,27]. There is also a competitive adsorption between DMA-P and chlorides and/or sulfates [24]. These influences can be described by the Eqs. (18)-(24) [7,26–29]: 106 Figure 4. Effect of salt on the photocatalytic degradation of DMA-P (34.5 mg dm-3) in the presence of TiO2 (ccat 2.0 g dm-3) in deionized water (A) and ground water (B). Chloride ions inhibit photocatalytic degradation in both of analyzed waters, deionized and ground water. The inhibitor effect of these anions can be explained through electrostatic interactions between surface of photocatalyst and anions. In acidic solution surface of photocatalyst is positively charged and attracts anions, which has influence on the reduced O.S. GLAVAŠKI et al.: PHOTODEGRADATION OF DIMETHENAMID-P… adsorption of molecules of DMA-P and intermediates and therefore reduced rate of degradation process and mineralization. In alkaline solutions such adsorption would be unlikely because of repulsive electrostatic forces [24]. Sulfate ions inhibit photocatalytic degradation in deionized water (at mildly acidic solution, for pH 6.33), which can be explained by the same inhibitor effect as for chloride ions. In ground water (in mild alkaline solution, for pH 7.34) these anions increase rate of the degradation process which can be explained by oxidative ability of sulfate anions radicals. Although the sulfate anion radical is less reactive than •OH, it may oxidize the DMA-P molecule. At mild alkaline pH, both SO4•− and •OH are responsible for the degradation of DMA-P [24]. Chem. Ind. Chem. Eng. Q. 22 (1) 101−110 (2016) The results lead to the conclusion that the formation rates of Cl–, SO42– and NO3– are slower compared to the degradation rate of DMA-P, and indicate the formation of intermediates that contain chlorine, sulphur and nitrogen. The mineralization of DMA-P was studied by the total organic carbon analysis. For the period of 90 min, the TOC elimination was 64% in deionised water and 50% in ground water (Figure 6). This indicates that the TOC removal rate was not proportional to the rate of DMA–P photodegradation and also confirms the formation of the organic intermediates. Results of total organic carbon elimination and ion chromatography The results of ion chromatography (shown in Figure 5) and TOC analysis have been used for the determination of the mineralisation level of DMA-P. Considering that the molecule of DMA-P contains one atom of chlorine, nitrogen and sulphur, Cl-, SO42– and NO3– may be separated after their complete mineralization. The degradation results in deionised water show that after 90 min of degradation 95% of chlorine is converted into chloride, while during the same period of irradiation 23% of total nitrogen is converted into NO3– and 8% of sulphur is converted into SO42– ions. However, mineralisation of the DMA-P in ground water is almost unnoticeable. Figure 6. Time dependence of TOC concentration during the photocatalytic degradation of DMA-P (34.5 mg dm-3) in deionised and ground water (ccat 2.0 g dm-3). Figure 5. Time dependence of inorganic ions (nitrates, sulphates and chlorides) concentration during the photocatalytic degradation of DMA-P (34.5 mg dm-3) in deionised and ground water (ccat 2.0 g dm-3). 107 O.S. GLAVAŠKI et al.: PHOTODEGRADATION OF DIMETHENAMID-P… Results of HPLC/MS analysis In order to identify intermediates formed during the photocatalytic process, a qualitative analysis of aliquot samples taken at various periods of degradation process was carried out. From the analysis of the obtained peaks identified by the value of m/z ratios, based on the molecular weight and the nature of the chemical bond in the molecule of DMA-P, the occurrence of transformation products can be confirmed, which is illustrated in Figure 7. The efficiency of LC-MS hyphenated techniques for the characterization of various photodegradation [30,31] products has been recently reported for chloracetamide herbicide acetochlor, which has similar structure as the investigated dimethenamide-P. Chem. Ind. Chem. Eng. Q. 22 (1) 101−110 (2016) At the end of the photodegradation reaction (90 min) only traces of DMA-P were detected. When DMA-P was electrochemically degradated the major degradation product was formed by C-N bond cleavage, while Cl elimination produced minor degradation product [1]. CONCLUSION The elimination of DMA-P from water with the mediation of TiO2 has been studied for the first time in this study. Under optimal conditions almost complete disappearance of 34.5 mg dm-3 of herbicide (determined by HPLC) and 50% TOC removal, occurred within 90 min in deionised and ground water, while Figure 7. The degradation mechanism proposed for DMA-P photocatalytic degradation. HPLC/MS analysis of the reaction mixture after 10 minutes of the photocatalytic degradation, revealed the presence of one degradation product with m/z of 110.5. From the structural analysis of DMA-P it can be assumed that the cleavage of C-N bond occurred (path I) and that the dimethylthiophenyl cation has been formed, as shown in Figure 7. The existence of ion fragment with m/z 262.1 may be explained by ordinary loss of CH3 group in side chain of a parent molecule (II). Another abundant degradation product was detected after 30 min of the photocatalytic degradation with m/z 148.5 (III). the formation of this structure can be explained by the following subsequent processes: elimination of chlorine and then loss of ketene, followed by rearrangement and cyclization to obtain a bicyclic product (Figure 7). 108 TOC analysis showed that DMA-P was mineralized 64 and 50% in deionised and ground water, respectively. The ion chromatography results showed that the mineralization process leads to the formation of chloride, sulphate and nitrate anions during the process. DMA-P degradation products were identified by HPLC/MS analysis. They were formed by: C-N bond cleavage (m/z 110.5), loss of CH3 group (m/z 262.1), elimination of chlorine and ketene, followed by rearrangement and cyclization (m/z 148.5). Acknowledgement This work has been financially supported by Ministry of Education, Science and Technological Development, Republic of Serbia, under Grant No. 172013. O.S. GLAVAŠKI et al.: PHOTODEGRADATION OF DIMETHENAMID-P… REFERENCES [1] [2] [15] C. Minero, D. Vione, Appl. Catal., B 67 (2006) 257-269 [16] O. Glavaški, S. Petrović, D. Mijin, M. Jovanović, A. Dugandžić, T. Zeremski, M. Avramov Ivić, Electroanalysis 26 (2014) 1877-1880 J. Wang, W. Sun, Z. Zhang, X. Zhang, R. Li, T. Ma, P. Zhang, Y. Li, J. Mol. Catal., A: Chem. 272 (2007) 84-90 [17] M. Qamar, M. Muneer, D. Bahnemann, J. Environ. Manage. 80 (2006) 99-106 R.A. Yokley, L.C. Mayer, S.B. Huang, J.D. Vargo, Anal. Chem. 74 (2002) 3754–3759 [18] S. Chen, Y. Liu, Chemosphere 67 (2007) 1010-1017 [19] W. Chu, W.K. Choy, T.Y.So, J. Hazard. Mater. 141 (2007) 86-91 [20] M.R. Sohrabi, M. Davallo, M. Miri, Int. J. ChemTech. Res. 1 (2009) 446-451 [21] Y. Chen, K. Zhang, Y. Zuo, Sci. Total Environ. 463–464 (2013) 802–809 [22] L. Wei, C. 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Q. 22 (1) 101−110 (2016) FOTODEGRADACIJA DIMETANAMIDA-P U DEJONIZOVANOJ I PODZEMNOJ VODI Proučavanje reakcije fotodegradacije herbicida dimetanamida-P, izvršeno je u prisustvu TiO2 kao katalizatora i pod dejstvom UV zračenja, u dejonizovanoj i podzemnoj vodi. Ispitan je uticaj koncentracije elektron-akceptora (H2O2), ″hvatača″ •OH radikala (C2H5OH) i šupljina (NaCl and Na2SO4), kao i uticaj pH sredine na brzinu reakcije fotodegradacije. Promena koncentracije dimetanamida-P praćena je pomoću HPLC. Nastajanje degradacionih proizvoda analizirano je pomoću HPLC/MS. Jonska hromatografija kao i metoda određivanja ukupnog organskog ugljenika primenjene su u cilju određivanja nivoa mineralizacije herbicida. HPLC analiza je pokazala da se u toku 90 min herbicid skoro potpuno uklanja u dejonizovanoj i podzemnoj vodi. Metodom određivanja ukupnog organskog ugljenika utvrđeno je da se dimetanamid-P mineralizije 64% u dejonizovanoj, a 50% u podzemnoj vodi. Jonska hromatografija je pokazala da pri degradaciji ispitivanog molekula nastaju hloridni, sulfatni i nitratni anjoni. HPLC/MS analiza ukazala je da pri degradaciji dolazi do raskidanja C-N veze (m/z 110,5), gubitka CH3 grupe (m/z 262,1), kao i do eliminacije hlora i ketena, praćene premeštanjem i ciklizacijom (m/z 148,5). Ključne reči: uticaj soli; jonska hromatografija; tečna hromatografija-elektronsprej masena spektrometrija; fotokataliza; titan-dioksid. Available on line at Association of the Chemical Engineers of Serbia AChE www.ache.org.rs/CICEQ Chemical Industry & Chemical Engineering Quarterly Chem. Ind. Chem. Eng. Q. 22 (1) 111−115 (2016) SONJA V. SMILJANIĆ1 SNEŽANA R. GRUJIĆ1 MIHAJLO B. TOŠIĆ2 VLADIMIR D. ŽIVANOVIĆ2 SRĐAN D. MATIJAŠEVIĆ2 JELENA D. NIKOLIĆ2 VLADIMIR S. TOPALOVIĆ2 1 University of Belgrade, Faculty of Technology and Metallurgy, Belgrade, Serbia 2 Institute for the Technology of Nuclear and Other Raw Mineral Materials, Belgrade, Serbia SCIENTIFIC PAPER UDC 666.1.031:66 DOI 10.2298/CICEQ150213031S CI&CEQ EFFECT OF La2O3 ON THE STRUCTURE AND THE PROPERTIES OF STRONTIUM BORATE GLASSES Article Highlights • Selected lanthanum-strontium-borate glasses were prepared by conventional melt-quenching technique • The density and the molar volume were increasing with increasing La2O3 content • Oxygen molar volume values were increasing opposite to oxygen packing density values • The HSM results were employed for obtaining the viscosity curves using VFT equation and GS Abstract The selected lanthanum-strontium borate glasses were prepared by a conventional melt-quenching technique. The compositions of the investigated glasses were chosen to be: 5.7, 9.5, 14.3, 19.1 mol% for La2O3, 22.9, 19.1, 14.3, 9.5 mol% for SrO and 71.4 mol% for B2O3. The density, molar volume, oxygen molar volume, oxygen packing density, oxygen/boron ratios and structural transformations in the glass network were investigated according to the substitution of SrO by La2O3. The density and the molar volume increased in parallel with La2O3 content increase. Simultaneously, oxygen molar volume values increased while the oxygen packing density values decreased. A hot stage microscope (HSM) and a differential thermal analysis (DTA) were used to determine the characteristic temperatures. By increasing the content of lanthanum, the glass transition temperatures, changed with the same trend as the molar volume. Glass stability parameters were calculated from the temperatures obtained by DTA and HSM. The HSM results were used to obtain the viscosity curves by applying the Vogel–Fulcher-Tamman (VFT) equation. Keywords: glass, DTA, HSM, glass viscosity. A growing interest recently has been focused on alkaline earth-borate glasses due to their applications as laser hosts, nonlinear optical and other photonic devices [1]. The structure of vitreous B2O3 consists of a random network of [BO3] triangles connected by bridging oxygen at all three corners to form completely linked network. The addition of a network modifier in B2O3 glass could induce the conversion of [BO3] triangles to [BO4] tetrahedra. This conversion of boron from 3- to 4-fold coordination occurs only until the network reaches some critical concentration of tetrahedral coordinated boron, and is then followed by Correspondence: S.V. Smiljanić, University of Belgrade, Faculty of Technology and Metallurgy, Karnegijeva 4, Belgrade, Serbia. E-mail: szdrale@tmf.bg.ac.rs Paper received: 13 February, 2015 Paper revised: 27 June, 2015 Paper accepted: 8 July, 2015 a formation of non-bridging oxygen (NBO) caused by additional network modifier [2]. Therefore in borate glasses, the main structural units are both [BO3] triangles and [BO4] tetrahedra forming boroxol rings and chains with different number of NBO [2]. The present study aims to characterize the physical and structural properties of the selected lanthanum-strontium borate glasses. Glass compositions for the synthesis were selected within the glass forming range of increasing content of La2O3, decreasing content of SrO and constant content of B2O3. Also, the goal of this work was to determine glass stability and viscosity behavior of the selected glasses. The physical and structural properties of the glasses were investigated by measuring the densities of the glass samples, and calculating the molar volume, oxygen molar volume, oxygen packing density values and 111 S.V. SMILJANIĆ et al.: EFFECT OF La2O3 ON THE STRUCTURE… ratios of oxygen to boron atoms [2,3]. Differential thermal analysis (DTA) was applied to determine the glass transition temperature, Tg, the crystallization onset, Tx, and the crystallization peak temperature, Tp. Hot stage microscope (HSM) was acquired for estimation the temperatures of: the first shrinkage (TFS), the maximum shrinkage (TMS), the deformation (TD), the sphere TS, the half-ball temperature (THB) and the flow temperature (TF). The glass stability (GS) parameters were calculated on the basis of these characteristic temperatures. Viscosity curves of the glasses were set based on the results from the HSM using the Vogel-Fulcher-Tamman (VFT) relation [4]. EXPERIMENTAL The glasses with nominal composition yLa2O3–xSrO-(100-x-y)B2O3, where y = 5.7, 9.5, 14.3 and 19.1 and x = 22.9, 19.1, 14.3 and 9.5 (Table 1), were melted in a covered platinum crucible in an electric furnace and melted at 1200 °C for 30 min. The reagent grade of H3BO3, SrCO3 and La2(CO3)3 were used as raw materials, mixed and homogenized in an agate mortar. Covered crucible and relatively short melting time at relatively low temperature were applied in order to minimize boron evaporation. The melt was cast and cooled on a stainless steel plate in air at room temperature. The measurements of the weight loss due to the melting indicated that the glasses were within 1–2 wt.% of the desired compositions. The obtained glasses were transparent without visible bubbles. Table 1. The glass compositions, density, molar volume, oxygen molar volume and oxygen packing density Glass sample Parameter 1 2 3 4 La2O3, mol% 5.7 9.5 14.3 19.1 SrO, mol% 22.9 19.1 14.3 9.5 B2O3, mol% 71.4 71.4 71.4 71.4 ρ, g cm-3 3.21 3.25 3.56 3.66 28.65 30.90 31.21 33.26 Vo, cm mol 11.28 11.81 11.50 11.84 OPD, mol dm-3 88.68 84.70 86.95 84.45 O/B 1.78 1.83 1.90 1.97 Vm, cm3 mol-1 3 -1 The densities of the glasses were determined by using the pycnometer method, with uncertainty ±0.01. A hot-stage microscope (E. Leitz Wetzlar) equipped with a Cannon camera, and differential thermal analysis (DTA) were used to determine the characteristic temperatures during the heating of the glass powder. The samples were prepared by crushing and 112 Chem. Ind. Chem. Eng. Q. 22 (1) 111−115 (2016) grinding the bulk glass in an agate mortar and sieving to grain size < 0.048 mm. The DTA curves were recorded by a Netzch STA 409 EP instrument at the heating rate 10 °C min-1, using Al2O3 as a reference material. HSM analysis was performed on the previously prepared glass powder pressed into cylinders, which were placed on a platinum plate, on an alumina support, contacted with a (Pt/Rh/Pt) thermocouple. The heating rate was 10 °C min–1. With temperature increase, the geometric shape of the samples changed. Micrographs obtained were used to determine the temperatures corresponding to the typical glass viscosity points [5-7]. Combination of the DTA and HSM methods enabled determination of the GS parameters. The HSM results were applied to obtain viscosity curves using the VFT relation [4,5]. RESULTS AND DISCUSSION The densities (ρ) of the glass samples determined in the present study are shown in Table 1. The molar volume (Vm) of the glass samples was calculated using the relative molecular mass (M) and density (ρ) by the following relation [8]: Vm = M ρ (1) These values are included in Table 1 together with the values of oxygen molar volume (Vo) and oxygen packing density (OPD), calculated using the following relations: V 0 =V m 1 (2) n OPD = 1000 ρ n M (3) where n is the number of oxygen atoms per formula unit. The following equation, based on the glass stoichiometry, was used for the calculated number of oxygen: Number of oxygen = x + 3 y + 71.4 (4) where x is mol% of the SrO, y is mol% of the La2O3 and 71.4 is constant content of the B2O3 in the glasses. The density and the molar volume of the glasses increased in parallel with La2O3 content increase in the glasses. The increase of the density could be explained considering the higher relative molecular mass of lanthanum oxide as compared to the relative molecular mass of strontium oxide. With the increase S.V. SMILJANIĆ et al.: EFFECT OF La2O3 ON THE STRUCTURE… of La2O3 content in the glasses, the oxygen content rises as well, increasing the molar volume of the glass. The oxygen molar volume increases opposite to the oxygen packing density with the increasing La2O3 content in glasses, indicating a less tight packing of the glass network and more open glass network [9]. The O/B ratios increased together with La2O3 content increase. The ratios of the O/B indicated the presence of the metaborate structures, so the both [BO3] triangles and [BO4] tetrahedra units are present in the glass systems. The characteristic temperatures obtained by HSM and DTA measurements are summarized in Table 2. Тhe Tg exhibits the same trend of the changes as of Vo. The increase in the Tg could be attributed to the greater bond strength of the La-O (244 kJ mol-1) bond in comparison with the Sr-O bond (134 kJ mol-1). The addition of the La2O3 increased the Tg, which can be explained by higher field strength of La3+ (0.52 Å-2) with respect to Sr 2+ (0.32 Å-2) [10]. The decline in the Tg for the sample 3 could be explained by stoichiometry composition of this glass [11]. Chem. Ind. Chem. Eng. Q. 22 (1) 111−115 (2016) maximum shrinkage (TMS) is the temperature where the sample shrinks to the maximum possible level, but still has sharp edges, before softening, at viscosity log η = 7.8±0.1. The TD is the point of log η = = 6.3±0.1 when the first signs of softening could be observed and the edges of the samples are rounded. The TS is the temperature at which the sample becomes spherical, at log η = 5.4±0.1, whereas the half-ball temperature (THB), at log η = 4.1±0.1, is the temperature at which the observed section of the sample forms a semicircle. The flow temperature (TF) is the temperature at which the height of the drop of molten glass corresponds to a unit on the microscopic scale, at log η = 3.4±0.1 [5]. Table 2. Characteristic temperatures (°C) obtained by HSM and DTA Temperature Glass sample 1 2 3 4 TFS 600 600 600 680 TMS 680 719 739 740 TD 700 720 760 760 TS 740 760 800 800 THB 840 900 1000 1050 TF 890 950 1020 1060 Tg 622 640 638 644 Tx 735 763 723 765 Tp 809 792 749 792 The photomicrographs for the glass sample 3, obtained by HSM, with the graphs of the shrinkage are shown in Figure 1 [11]. The shrinkage of the samples is determined by the ratios of A/A0 and H/H0, where A0 is the initial area of the sample whereas A is the area at the temperature T, H0 is the initial height and H is the height at the temperature T. The temperatures corresponding to the typical viscosity points were determined from the photomicrographs, by observing the geometric shape of the specimens, obtained by HSM (Figure 1). The temperature of the first shrinkage (TFS) is the temperature at the typical viscosity, log η = 9.1±0.1, where η is in dPa·s. At this temperature the sample shrinks to about 3-5% of its initial height. The temperature of the Figure 1. The photomicrographs obtained by HSM with the graphs of the shrinkage. These temperatures obtained by DTA and HSM were used to determine the GS parameters, the Hruby parameter, KH, the Weinberg, KW, and the parameter KLL proposed by Lu and Liu [12]. Within this work, the used TF was determined by HSM. The glass stability parameters are defined by the equations: T x −Tg TF −T x (5) KW = Tp −Tg TF (6) K LL = Tp Tg +TF (7) KH = The calculated parameters for the glasses are shown in Table 3. The resistance of a given glass against crystallization upon reheating defines GS. High values of the parameters indicate high glass stability, higher stability of the glass with respect to 113 S.V. SMILJANIĆ et al.: EFFECT OF La2O3 ON THE STRUCTURE… Chem. Ind. Chem. Eng. Q. 22 (1) 111−115 (2016) devitrification. The lowest values of the parameters are related to the sample 3. This glass shows the smallest GS and the highest tendency toward crystallization [11]. Increase of lanthanum content in the glasses was followed with decrease of the GS. for the glasses, log η = f(T) as shown in Figure 2 in the upper left corner. The activation energy of the viscous flow is obtained from the Arrhenius equitation, from the slope of the log η = f (1/T) curves (Figure 2, Table 4). Table 3. Glass stability parameters Table 4. VFT parameters and the activation energies of the viscous flow Glass sample 1 KH KW KLL 0.73 0.21 0.53 Glass sample Parameter 1 2 3 4 -3.30 -6.12 1.22 5103 11603 808 684 462 135 1142 365 340 297 543 2 0.66 0.16 0.50 3 0.29 0.11 0.45 A -0.315 4 0.41 0.14 0.46 B 1780 T0 / K Ea / kJ mol-1 The viscosity values of the glasses and VFT parameters were determined based on the photomicrographs and the typical temperatures, obtained by HSM: logη = A + B T −T0 (8) where η is viscosity in dPa·s, A, B and T0 (K) are constants. These constants were obtained from Eq. (8) by resolving a couple equations, using temperatures and viscosity values obtained by HSM (Table 4). These equations are used to calculate the viscosity CONCLUSION The investigation of the physical properties of the glasses showed that the substitution of SrO by La2O3 increased the density, molar volume, oxygen molar volume and decreased oxygen packing density. The density increase was attributed to the higher relative molecular mass of the glass containing more La2O3. The decrease of the oxygen packing density indicated a less tightly packed the glass network. The increase in the Tg could be attributed to the greater Figure 2. Log η versus reciprocal temperature curves for the glass samples: a) 1, b) 2, c) 3 and d) 4. 114 S.V. SMILJANIĆ et al.: EFFECT OF La2O3 ON THE STRUCTURE… Chem. Ind. Chem. Eng. Q. 22 (1) 111−115 (2016) bond strength of the La-O (244 kJ mol-1) bond in comparison to the Sr-O bond (134 kJ mol-1). Parallel with lanthanum content increase, the GS decreased. [4] S. Samal, S. Kim, H. Kim, J. Am. Ceram. Soc. 95 (2012) 1595-1603 [5] Acknowledgement M.J. Pascual, A. Duran, M.O. Prado, Physis. Chem. Glasses 46 (2004) 512-520 [6] C. Lara, M.J. Pascual, M.O. Prado, A. Duran, Solid State Ionics 170 (2004) 201-208 [7] C. Lara, M.J. Pascual, A. Duran, J. of Non-Crys. Solids 348 (2004) 149-155 [8] S. Bale, S. Rahman, A.M. Awasthi, V. Sathe, J Alloy Compd. 460 (2008) 699-703 [9] A. Goel, D.U. Tulyaganov, V.V. Kharton, A.A. Yaremchenko, J.M.F. Ferreira, Acta Mater. 56 (2008) 3065–3076 The authors are grateful to the Ministry of Education, Science and Technological Development of the Republic of Serbia for the financial support (Projects 172004 and 34001). REFERENCES [1] M. Kaur, O. P. Pandey, S. P. Singh, J. Non-Crys. Solids 358 (2012) 2589-2596 [10] [2] J.E. Shelby, Introduction to Glass Science and Technology, The Royal Society of Chemistry, Cambridge, 2005 N. Sasmal, M. Garai, A.R. Molla, A. trafder, S.P. Singh, B. Karmakar, J. Non-Crys. Solids 387 (2014) 62-70 [11] [3] S.V. Smiljanić, S.R. Grujić, M.B. Tošić, V.D. Živanović, S.D. Matijašević, J.D. Nikolić, V. Topalović, Effect of La2O3/SrO ratio on properties of La2O3–SrO–B2O3 glasses, th in Proceedings of 12 International Conference on Fundamental and Applied Aspects of Physical Chemistry, Belgrade, Serbia (2014), Vol. II, pp. 667-670 S. Smiljanić, S. Grujić, M. Tošić, V. Živanović, J. Stojanović, S. Matijašević, J. Nikolić, Ceram Int. 40 (2014) 297-305 [12] A. Kozmidis-Petrovic, J. Sestak, J. Therm. Anal. Calorim. 110 (2012) 997–1004. SONJA V. SMILJANIĆ1 SNEŽANA R. GRUJIĆ1 MIHAJLO B. TOŠIĆ2 VLADIMIR D. ŽIVANOVIĆ2 2 SRĐAN D. MATIJAŠEVIĆ JELENA D. NIKOLIĆ2 VLADIMIR S. TOPALOVIĆ2 1 Univerzitet u Beogradu, Tehnološko-metalurški fakultet, Karnegijeva 4, 11000 Beograd, Srbija 2 Institut za tehnologiju nuklearnih i drugih mineralnih sirovina, Bulevar Franša d’Eparea 86, 11000 Beograd, Srbija NAUČNI RAD UTICAJ La2O3 NA STRUKTURU I SVOJSTVA STRONCIJUM-BORATNIH STAKALA Izabrana lantan-stroncijum-boratna stakla su dobijena uobičajenom tehnikom topljenja i naglog hlađenja rastopa stakla. Sastavi ispitivanih stakala su: 5,7; 9,5; 14,3; 19,1 mol% La2O3; 22,9; 19,1; 14,3; 9,5 mol% SrO i 71,4 mol% B2O3. Ispitivan je uticaj izmene SrO sa La2O3 na: gustinu, molarnu zapreminu, molarnu zapreminu kiseonika, gustinu pakovanja kiseonika, odnose kiseonik/bor kao i strukturalne transformacije u mreži stakla. Gustina i molarna zapremina se povećavaju sa porastom sadržaja lantan-oksida. Primećen je trend rasta molarne zapremine kiseonika dok gustina pakovanja kiseonika opada. Za određivanje karakterističnih temperatura korišćene su diferencijalna termijska analiza (DTA) i termomikroskop (TM). Sa porastom sadržaja lantan-oksida temperature transformacije stakla su se menjale na isti način kao i molarna zapremina. Parametri stabilnosti stakla izračunati su na osnovu temperatura određenih TM i DTA. Na osnovu rezultata dobijenih termomikroskopom postavljene se krive viskoznosti upotrebom Vogel-Fulcher-Tamman (VFT) jednačine. Ključne reči: staklo, DTA, TM, viskoznost stakla. 115 Available on line at Association of the Chemical Engineers of Serbia AChE www.ache.org.rs/CICEQ Chemical Industry & Chemical Engineering Quarterly Chem. Ind. Chem. Eng. Q. 22 (1) 117−126 (2016) MARIJA ŠLJIVIĆ-IVANOVIĆ ALEKSANDRA MILENKOVIĆ MIHAJLO JOVIĆ SLAVKO DIMOVIĆ ANA MRAKOVIĆ IVANA SMIČIKLAS University of Belgrade, Vinča Institute of Nuclear Sciences, Belgrade, Serbia SCIENTIFIC PAPER UDC 637.5’62:621:66.081 DOI 10.2298/CICEQ150323024S CI&CEQ Ni(II) IMMOBILIZATION BY BIO-APATITE MATERIALS: APPRAISAL OF CHEMICAL, THERMAL AND COMBINED TREATMENTS• Article Highlights • Apatite materials derived from bovine bones were studied as Ni(II) ions sorbents • Raw bones were compared with chemically, thermally and chemically/thermally treated samples • Different sorption mechanisms were identified by sorption data and FT-IR spectra analysis • Combined chemical/thermal treatment produced material with the highest sorption capacity • Sorbed Ni(II) was very stable at low sorbent loads, while largely mobile at high loadings Abstract Animal bones are a natural and rich source of calcium hydroxyapatite (HAP), which has been found to be a good sorbent material for heavy metals and radionuclides. Various treatments can reduce the content of bone organic phase and improve sorption properties. In this study, sorption capacities of raw bovine bones (B) and samples obtained by chemical treatment with NaOH (BNaOH), by heating at 400 °C (B400) and by combined chemical and thermal treatment (BNaOH+400), were compared, using Ni(II) ions as sorbates. Maximum sorption capacities increased in the order B < BNaOH < B400 < BNaOH+400. Based on different sorption data and FT-IR analyses, the mechanism of Ni(II) sorption was found to be complex, with participation of both HAP and organic phase (when present). Sequential extraction analysis was applied for testing the stability of Ni(II) ions sorbed by BNaOH+400. Majority of Ni(II) was found in residual phase (65%) at lower level of sorbent loading, while with the increase of sorbent saturation carbonate fraction became dominant (39%). According to the results, BNaOH+400 can be utilized in water purification systems. As an apatite based material with low organic content and high efficiency for Ni(II) sorption, it is also a good candidate for in situ soil remediation, particularly at lower contamination levels. Keywords: bovine bones, treatments, apatite, Ni(II), sorption, sequential extraction. Nickel is naturally occurring heavy metal, which is in trace amounts essential for living organisms [1]. On the other hand, exposure to high nickel concentrations may cause various health effects, even death. Correspondence: M. Šljivić-Ivanović, University of Belgrade, Vinča Institute of Nuclear Sciences, P.O.Box 522, 11000 Belgrade, Serbia. E-mail: marijasljivic@vin.bg.ac.rs Paper received: 23 March, 2015 Paper revised: 20 June, 2015 Paper accepted: 8 July, 2015 th • Part of this paper was presented at the 12 International Conference on Fundamental and Applied Aspects of Physical Chemistry, September 22-26, 2014, Belgrade, Serbia. Single-dose oral lethality studies indicate that soluble nickel compounds are more toxic than less-soluble nickel compounds. Oral LD50 values of 46 or 39 mg Ni per kg as nickel sulfate in male and female rats [2] and 116 and 136 mg Ni per kg as nickel acetate in female rats and male mice, respectively [3] have been reported for soluble nickel compounds. In contrast, the oral LD50 values in rats for less-soluble nickel oxide and subsulfide were >3,930 and >3,665 mg Ni per kg, respectively [2]. The concentration of nickel and nickel compounds in the environment increases due to anthropogenic activity. For example, this metal is frequently found in industrial products such as 117 M. ŠLJIVIĆ-IVANOVIĆ et al.: Ni(II) IMMOBILIZATION BY BIO-APATITE… stainless steel, metal alloys, catalysts, rechargeable batteries, and various products of common use, even jewelry [4]. Moreover, long lived radioactive isotopes 59 Ni and 63Ni are frequent constituents of liquid radioactive waste [5]. Thus, the decontamination of wastewater streams containing Ni(II) ions is essential and it can be conducted using different separation processes, including sorption onto selective and high capacity materials. In addition to conventional sorbents, different waste products were considered for Ni(II) removal like red mud [6], fly ash [7], tea factory waste [8], animal bones [9], etc. It was shown that utilization of waste products as sorbent materials can be particularly a cost-effective way of wastewater purification. Animal bones are a natural source of hydroxyapatite (HAP), which has been found to be a suitable matrix for heavy metal immobilization [10]. The studies on Ni(II) immobilization using synthetic hydroxyapatite [11,12], fluoroapatite [13] and apatite derived from fish and animal bones [9,14], have been reported so far. Thus, beside the synthetic apatites and phosphate rocks, usage of biogenic apatite forms represents one of the alternatives. Raw animal bones contain 30-40% of organic constituents, mostly fats and proteins (collagen). Since the nanoparticles of HAP are well “packed” in the organic matrix, specific surface area of bones is extremely low [15]. Consequently, crushed, raw bones were found to be poorer sorbents, compared to synthetic apatite forms [16,17]. In order to reduce organic content, extraction of HAP has been carried out by different chemical or physical treatments. Heating in air atmosphere is one of the methods for decomposition of organic compounds. The influence of heating temperature on bone physicochemical and sorption properties has been investigated, and the optimal temperature was found to be 400 °C [15,18]. At lower temperatures organic phase was removed incompletely, while higher temperatures resulted in sintering of HAP nanoparticles and deterioration of sorption capacities. Beside thermal decomposition processes, organic solvents such as ethanol and hexane have been applied for fat tissue removal, while collagen degradation was studied using NaOH or H2O2 solutions [19]. The comparison of chemical agents efficiency has revealed that highest capacity sorbent was obtained using hot (60 °C) 0.1 mol L-1 NaOH solution [19]. Recently, the effects of various treatment conditions on bioapatite properties were compared [20]. Using experimental design methodology, the influence of five process variables was investigated. Type 118 Chem. Ind. Chem. Eng. Q. 22 (1) 117−126 (2016) of the chemical reagent (H2O2 or NaOH), concentration of the reagent (0.1 or 2 mol L-1), reaction temperature (20 or 60 °C), contact time (1 or 3 h) and sample annealing (without or at 400 °C), were considered. By simultaneous variation of process variables between lower and higher level, materials with different properties were obtained. Impact of treatment factors was compared by statistical analysis, and it was concluded that annealing had predominant influence on surface properties, as well as sorption capacity towards Cd2+ [20]. Considering the results achieved so far, this study aims to compare performances of bone sorbents obtained under conditions of chemical and thermal treatments that were found to provide the highest sorption capacities [15,18-20]. In addition, synergistic effect of both treatments, applied one after the other, was tested and the results were compared with the efficiency of raw, powdered bones. To evaluate sorption kinetics and maximum capacities, experiments were conducted in wide ranges of initial Ni(II) concentrations and contact times. Various sorption data, spectroscopic and sequential extraction analyses were considered in order to get insight into the Ni(II) sorption mechanisms. EXPERIMENTAL Preparation and characterization of the sorbents At first, bovine femur bones, collected from the butchers shop, were cleaned from meat and cut using a circular saw. Pieces of approximate size 2-3 cm were boiled three times for about 3 h in distilled water, for the removal of fats. After drying at 80 °C, one part of the material was left for the preparation of referent (untreated) sorbent, whereas the remaining quantity was exposed to different treatments. Thermally treated sample (B400) was obtained by heating the obtained residues at 400 °C, in the electrical oven for 4 h. Chemically treated sample (BNaOH) was prepared by mixing 50 g of boiled bones with 1 L of 2 mol L-1 NaOH, for 3 h, at 60 °C. The obtained suspension was filtered on the Buhner funnel. Solid residue was thoroughly rinsed with 2 L of distilled water and then dried at 80 °C. Finally, the sample denoted as BNaOH+400 was produced by applying previously described thermal treatment on the sample BNaOH. The referent sorbent (B) and treated sorbents were powdered in an electric mill, and after sieving, the fraction with particle size 45-200 μm was used for further experiments. Ca/P mole ratio of apatite sorbents was determined as a measure of HAP stoichiometry. Sorbents M. ŠLJIVIĆ-IVANOVIĆ et al.: Ni(II) IMMOBILIZATION BY BIO-APATITE… were dissolved by the process of microwave-assisted digestion in the mixture of HNO3 and H2O2, described previously in detail [20]. Contents of Ca and P were measured by ICP-OES (Thermo Scientific iCAP 6500 Duo ICP). Specific surface areas (SSA) of samples B, B400 and BNaOH+400 have been previously reported [15,20]. Additionally, the SSA of BNaOH was determined via sorption–desorption isotherm of N2, at –196 °C, by the McBain gravimetric method, where the sample was firstly degassed at 100 °C and vacuumed for 24 h. Determination of BNaOH mineral composition was performed using X-ray diffraction (XRD). The Philips PW 1050 diffractometer with CuKα1,2 radiation was used, employing step/time scan mode of 0.05 °/s, and exposure time of 6 s, in the 2θ range 20–60°. Obtained diffraction peaks were compared to Powder Diffraction File database (PDF2). XRD patterns of samples B, B400 and BNaOH+400 have already been published [15,20]. Sorption experiments For the evaluation of Ni(II) sorption, separate batches were prepared in 50 mL polypropylene centrifuge tubes. Each one contained 0.1000 g of sorbent and 20 mL of solution prepared from NiCl2 salt and distilled water. Initial pH values of metal solutions were fixed at 6.0±0.1 in all experiments. Adjustments of initial pH were performed by adding small aliquots of HCl or NaOH solutions. The suspensions were mixed on the rotary overhead shaker at 10 rpm. The kinetics of Ni(II) sorption was examined using 6×10-3 mol L-1 Ni(II) solution, and varying contact time between 15 min and 24 h. The effect of initial Ni(II) concentrations was investigated by varying concentrations in the range 10-4– –6×10-3 mol L-1, while contact time was fixed at 24 h. After a given reaction time, liquid phases were separated from spent sorbents by centrifugation at 7000 rpm for 10 min. Equilibrium pH values were measured in clear supernatants. Determinations of residual Ni(II) concentrations, as well as the concentrations of Ca(II) ions released from bio-apatite phase, Chem. Ind. Chem. Eng. Q. 22 (1) 117−126 (2016) were performed using a Perkin Elmer 3100 atomic absorption spectrometer. The amounts of Ni(II) removed from the solution were calculated as the differences between the initial and the equilibrium concentrations. FT-IR analysis of unloaded and Ni-loaded bio-apatites In order to determine interactions of bio-apatite surfaces with Ni(II) ions, Fourier Transform Infrared (FT-IR) Spectroscopy was performed. Unloaded sorbents, and the solid residues obtained after equilibration of sorbents with the most concentrated Ni-solution (6×10–3 mol L-1) were scanned. FTIR spectra of the samples were recorded at ambient conditions in the mid-IR region (400-4000 cm-1) with a Nicolet IS 50 FT-IR spectrometer operating in the ATR mode and using resolution of 4 cm-1 with 32 scans. Major functional groups were identified in the FT-IR spectra, and the surfaces of starting materials and fully loaded samples were compared. Sequential extraction of the sorbed Ni(II) Stability of Ni(II) ions, sorbed onto the material with the highest sorption capacity (BNaOH+400), was analyzed by a sequential extraction protocol. For this purpose, the sorbent was firstly equilibrated with either 1.5×10-4 mol L-1 or 6×10-3 mol L-1 Ni(II) solution, in order to obtain samples with different degrees of saturation. Batches containing 1.000 g of BNaOH+400 and 20 mL of each Ni(II) containing solution, were equilibrated for 24 h. After centrifugation, Ni(II) loaded bio-apatite samples were rinsed with 20 mL of distilled water, centrifuged again, and dried at room temperature. The sequential extraction analysis was performed according to a modified Tessier procedure [21]. Sorbed Ni(II) ions were portioned into 5 operationally defined phases: exchangeable (F1), acid soluble (F2), reducible (F3), oxidizable (F4) and residual (F5). The modification of the original Tessier protocol refers to residual phase extraction, which was performed by digestion in 6 M HCl [22,23]. The summarized procedure is presented in Table 1. Table 1. The modified sequential extraction procedure applied in this study (mass of dry sorbent sample 1.00 g) Phase Fraction Experimental procedure F1 Exchangeable Loaded samples were treated with 8 mL of 1 M MgCl2 (pH 7.0), 20 °C, 1 h. F2 Acid soluble 8 mL of 1 M CH3COONa (pH 5, adjusted with CH3COOH), 20 °C, 5 h F3 Reducible 20 mL of 0.04 M NH2OH·HCl in 25 vol.% CH3COOH, 96±3 °C, 6 h F4 Oxidizable 3 mL of 0.02 M HNO3 and 5 mL of 30% H2O2 (pH 2, adjusted with HNO3), 85±2 °C, 2 h 3 mL aliquot of 30% H2O2 (pH 2, adjusted with HNO3), 85±2 °C, 3 h 5 mL of 3.2 M CH3COONH4 in 20 vol.% HNO3 was added and the sample was diluted to 20 mL, 20 °C, 30 min F5 Residual 50 ml of 6 M HCl, 85±2 °C, 9 h 119 M. ŠLJIVIĆ-IVANOVIĆ et al.: Ni(II) IMMOBILIZATION BY BIO-APATITE… RESULTS AND DISCUSSION Sorbents characteristics XRD analysis of the sample BNaOH is presented in Figure 1. Peaks characteristic for HAP crystalline phase (PDF2, card No. 09-0432) with the intensive background were identified. Chem. Ind. Chem. Eng. Q. 22 (1) 117−126 (2016) decreases; therefore, the rate of process is stabilized. Equilibrium was attained after 3h using BNaOH+400, whereas approximately 24 h was required for other samples. Sorbed amounts of Ni(II) ions at equilibrium increased in the order B (0.22 mmol g-1) < BNaOH (0.28 mmol g-1) < B400 (0.30 mmol g-1) < BNaOH+400 (0.35 mmol g-1). Figure 1. XRD pattern of the sample BNaOH. The reported XRD patterns of samples B, B400 [15] and BNaOH+400 [20] also showed the presence of HAP as a major crystalline phase. HAP peaks were generally of low intensities and fused, indicative of small grain size, low crystallization degree and high defectiveness of bone apatite crystals. Although the apatite samples might contain some other calciumphosphate phases [24], their presence was not confirmed by XRD analysis. Furthermore, different intensities of the background in the XRD spectra can be ascribed to the different amounts of organic matter. Ca/P mole ratio of the sample BNaOH+400 was found to be 1.23 [20], whereas molar ratios of 1.20, 1.17, and 1.16 were calculated for B, BNaOH and B400, respectively. Compared to the stoichiometric HAP Ca/P ratio = 1.67, considered bio-apatite samples were Ca-deficient. Determined SSA of BNaOH was 35 m2 g-1, which is much higher than SSA of raw bones (0.1 m2 g-1 [15]), but lower than SSA of thermally treated bones (85 m2 g-1 for B400 [15] and 78 m2 g-1 for BNaOH+400 [20]). Sorption kinetics Sorption kinetics curves (Figure 2a) were of typical shape: a sharp increase at the beginning followed by slower metal uptake. With time, the active sites on the sorbent surface become increasingly occupied and Ni(II) concentration in the liquid phase 120 Figure 2. a) Time-dependent sorption of Ni(II) ions on different bone sorbents. b) Data fitting using pseudo-second order kinetic model. Solid/liquid ratio 1/200, initial Ni(II) concentration 6×10-3 mol L-1, initial pH 6.0. Symbols: (■) B, (●) BNaOH, (▲) B400 and (▼) BNaOH+400. The experimental results were analyzed using pseudo-second order kinetic equation [25] which is widely used for sorption data modeling. The linear form of pseudo-second order model is given by the following equation: t 1 t = + q t k 2q e2 q e (1) M. ŠLJIVIĆ-IVANOVIĆ et al.: Ni(II) IMMOBILIZATION BY BIO-APATITE… Chem. Ind. Chem. Eng. Q. 22 (1) 117−126 (2016) where qt and qe (mmol g-1) are sorbed amounts at time t and at equilibrium, respectively, k2 (g mmol-1 min-1) is the pseudo-second-order rate constant. The denominator of the first member at right side is denoted as the initial sorption rate h (mmol g-1 min-1). Results of data fitting are presented in Figure 2b and Table 2. Equilibrium sorbed amounts calculated by the model were 0.21, 0.29, 0.32 and 0.36 mmol g-1 for B, BNaOH, B400 and BNaOH+400, respectively, closely matching the values obtained experimentally. In addition, high R2 values indicated good agreement between experimental results and mathematical model. erally increased in the order B < BNaOH < B400 < < BNaOH+400. Ni(II) removal from aqueous media using samples BNaOH and BNaOH+400 was especially enhanced in the low concentration range (10-4–5×10-4 mol L-1). Equilibrium pH values (Figure 3c) decreased along with the increase of initial metal concentration, which may be related to the phenomenon known as specific cation sorption [29]. Specifically sorbed cations are attached strongly to the surface functional groups causing the release of H+ ions: Table 2. Pseudo-second order model parameters for Ni(II) sorption by differently treated bones where S−OH and S−OH2+ respectively denote neutral or protonated surface functional groups of both HAP (phosphate) and organic phase, if present. Additionally, hydrolysis of Ni ions takes place according to the reactions: Sorbent Parameter B -1 BNaOH B400 BNaOH+400 qe / mmol g 0.21 0.29 0.32 0.36 k2 / g mmol-1 min-1 0.043 0.40 0.071 0.18 h / mmol g-1 min-1 0.0020 0.0035 0.0072 0.0230 R2 0.991 0.998 0.999 0.999 Calculated values of k2 and h where in the range 0.043-0.40 g mmol-1 min-1 and 0.0020–0.023 mmol g-1 min-1, respectively. Treatments have improved sorption of Ni(II) and led to an increase in the speed of sorption. Rate constant k2 increased in the order B < B400 < BNaOH+400 < BNaOH, while h increased as follows: B < BNaOH < B400 < BNaOH+400. Good correlation between pseudo-second-order model and experimental data has already been reported for the sorption of divalent cations onto various sorbents: Pb2+, Cd2+, Zn2+ and Sr2+ by synthetic HAP [26], Cr3+ and Sr2+ by bone char [17,27], Co2+ by animal bones [15], Pb2+ and Cu2+ onto magnetic eggshell-Fe3O4 powder [28], Pb2+, Zn2+ and Cd2+ onto Fe(III)-modified zeolite [29], etc. Theoretically, agreement between the sorption kinetic data and mathematical models such as pseudo-second order implies that chemical reaction is the rate-controlling step [30]. However, sorption processes governed by different mechanisms (surface-complexation, dissolution/precipitation, ion-exchange, etc.) were equally well described by this model [17,31,32]. This basically means that the applicability of this model is not sufficient evidence for mechanistic interpretations, but it is suitable for mathematical description of the process, prediction of qe values, and data comparison. Sorption equilibrium The sorption isotherms of Ni(II) ions onto raw and differently treated bovine bones are presented in Figure 3a and b. The sorbed amounts of Ni(II) gen- S − OH + Ni2+ = S − ONi+ + H+ S − OH+2 + Ni2+ = S − ONi+ + 2H+ Ni2+ + H2O = Ni ( OH) + H+ , pK = 9.86 [33] + Ni ( OH) + H2O = Ni ( OH)2 + H+ , pK = 9.14 [33] + Calculation of Ni-species distribution in respect to solution pH showed that Ni2+ are dominant up to pH 8 [6]. Hydrolysis starts at pH > 8, reaching the maximum amount of insoluble Ni(OH)2 at pH 10. Taking this into account, large sorption of Ni(II) by BNaOH+400 observed in the low concentration range, can be linked to the equilibrium pH values close to the Ni(OH)2 precipitation threshold. The sorption of Ni(II) from the solutions of different initial concentrations, was followed by almost linear increase of aqueous Ca(II) concentrations (Figure 3d). Direct linear proportionality between the amounts of sorbed and released ions points toward ion-exchange as one of the operating sorption mechanisms. The ion exchange mechanism was already recognized as the sorption mechanism characteristic for HAP phase in the case of divalent Cd and Zn sorption onto synthesized HAP [34]. Also, Cheung et al. [35] investigated sorption of Cu2+ and Zn2+ onto bone char, the heterogenous sorbent produced from the destructive distillation of dried, crushed cattle bones. Knowing that the main sorbent components are calcium hydroxyapatite, CaCO3 and carbon, the authors concluded that the main sorption mechanisms are ion-exchange in HAP lattice and chemisorption onto carbon surface. Moreover, Al-Asheh et al. [9] reported that the main sorption mechanism of Ni(II) ions onto raw animal bones was ion-exchange. Our study strongly supports the ion-exchange scenario. Mole ratios Ca(II):Ni(II) were less than 1:1, for all investigated sorbents, which can be explained by 121 M. ŠLJIVIĆ-IVANOVIĆ et al.: Ni(II) IMMOBILIZATION BY BIO-APATITE… Chem. Ind. Chem. Eng. Q. 22 (1) 117−126 (2016) Figure 3. Ni(II) sorption isotherms: a) values predicted by Freundlich equation; b) values predicted by Langmuir model (symbols - experimental points, lines - fitting by theoretical models, error bars - deviations between experimental and predicted values); c) relationship between equilibrium pH values and initial Ni (II) concentrations; d) relationship between amounts of released Ca(II) and sorbed Ni(II) ions. Symbols: (■) B, (●) BNaOH, (▲) B400, and (▼) BNaOH+400. Ca-deficient bio-apatite crystal lattice [20] and the participation of other sorption mechanisms. Sorption isotherms were described using Langmuir and Freundlich theoretical models, in the following linear forms: ce ce 1 = + q e q m q mK L ln q e = ln K f + 1 n ln c e (2) (3) where ce (mmol L-1) denotes the equilibrium concentrations of Ni(II) ions in the liquid phase, qm (mmol g-1) is the maximum sorption capacity, KL (L g-1) is the Langmuir constant related to the energy of adsorption, while Kf (mmol1−(1/n)·L1/n·g−1) and n are the Freundlich constants related to the capacity and intensity of the sorption process. 122 Calculated parameters are summarized in Table 3. Based on the correlation coefficients (R), a good agreement exists between the models and experimental data. Calculated maximum sorption capacities increased in the order B < B400 < BNaOH < BNaOH+400, which is somewhat different in respect to experimentally obtained order, probably as a consequence of linearization and fitting errors. The determined KL and Kf values increased in the same order as experimentally determined maximum sorption capacities: B < BNaOH < B400 < BNaOH+400. From the Langmuir constant KL, the dimensionless separation factors RL can be calculated: RL = 1 1 + C 0K L (4) RL is related to the nature of sorbate/sorbent attraction and isotherm type and it gives the information on whether the process is: unfavorable (RL > 1), linear M. ŠLJIVIĆ-IVANOVIĆ et al.: Ni(II) IMMOBILIZATION BY BIO-APATITE… Chem. Ind. Chem. Eng. Q. 22 (1) 117−126 (2016) Table 3. Ni(II) sorption parameters calculated using Langmuir and Freundlich isotherms Sorbent Langmuir model Freundlich model qm / mmol g-1 KL / L mmol-1 R2 Kf / mmol1−(1/n)·dm3/n·g−1 n R2 B 0.274 1.06 0.974 0.118 1.78 0.993 BNaOH 0.332 1.20 0.952 0.162 1.65 0.865 B400 0.321 2.66 0.993 0.200 2.02 0.974 BNaOH+400 0.357 4.89 0.990 0.264 3.14 0.991 (RL = 1), favorable (0 < RL < 1), or irreversible (RL = = 0). The calculated RL values increased in the order: BNaOH+400 (RL = 0.033) < B400 (RL = 0.059) < B (RL = = 0.14) ≈ BNaOH (RL = 0.12) and indicated that all investigated processes were favorable. The qm values for commercially available synthetic HAP and HAP synthetized in the laboratory were found to be 0.184 and 0.274 mmol g-1 [12]. Furthermore, sorption capacities of 0.039 [36] and 0.617 mmol g-1 [37] for different nano HAP were also reported. Consequently, it can be concluded that treated bio-apatites applied in this study can be used as an alternative sorbent for synthesized hydroxyapatite. FT-IR analysis Since peaks in the XRD spectra of bone samples appeared to be wide and fused, and did not provide information about the content and the composition of organic matter, FT-IR analysis was performed. The contribution of the bone organic and mineral phases to the overall FT-IR spectrum can be analyzed almost separately as their peaks occur in different regions of the spectra. FT-IR analysis of all unloaded samples showed peaks characteristic for HAP phase, whereas the content and qualitative composition of organic matter was related to the applied treatment (Figure 4). Figure 4. FT-IR analysis of investigated sorbents before (black lines) and after (gray lines) Ni(II) sorption. 123 M. ŠLJIVIĆ-IVANOVIĆ et al.: Ni(II) IMMOBILIZATION BY BIO-APATITE… The HAP phase is characterized by the most intense peaks in the spectra at about 1020, 960, 600 and 560 cm−1, which correspond to various modes of PO43- vibrations. In addition, peaks at 1410, 1450 and near 870 cm−1 can be attributed to the CO32− group, demonstrating carbonate substitution in HAP crystal lattice [15,38]. The occurrence of −OH vibrations from different sources and Amide A and B vibrations was evident from a broad peak at 3700-3000 cm−1 [38]. The largest number of bands characteristic for organic phase functional groups was observed in spectra of untreated bones (Figure 4a). Peaks at approximately 1640, 1540 and 1240 cm−1 belong to amide I, II and III bands, respectively, peak at 1740 cm−1 is characteristic for carbonyl group, and doublet at near 2920 and 2850 cm−1 originates from −CH2 vibrations [38]. Bone treatments caused the reduction of organic phase content (Figure 4b-d). The intensity of −OH and amide A and B stretching vibrations at high wave numbers (3700-3000 cm−1) was markedly reduced, and almost completely lost in the sample BNaoH+400. After chemical treatment (Figure 4b) −CH2 vibrations were still visible, so as small intensity bands of Amide I and II. In the Figure 4c, only traces of amide I and II vibrations were visible, thus, the thermal treatment appeared to be more efficient than chemical, for the exclusion of bone organic phase. Higher organic content of BNaoH in respect to B400 can be associated with its lower SSA. The spectrum of BNaOH+400 was organic phase free (Figure 4d), i.e., it resembles the spectrum of synthetic carbonate containing HAP [38]. The greatest changes in the appearance of FT-IR spectrum before and after Ni(II) sorption were observed for sample B. Reduced intensities of absorption peaks coming from −OH, amide and carbonyl groups implies their participation in Ni(II) complexation mechanism. Similarly, removal of Ni(II) by pigeon pea pod biosorbent was attributed to the presence of C=O, C–O, O–H bonds which were identified as responsible for coordination with Ni(II) [39]. The FT-IR spectra of treated bone samples were almost unaffected by the presence of Ni(II) sorption. The fundamental apatite structure was preserved after sorption of Ni(II) ions, which is in agreement with ionexchange mechanism. Sequential extraction analysis Previous experiments have shown that BNaOH+400 was the most efficient sorbent, thus it was selected to investigate the stability of sorbed Ni(II) ions (Figure 5). After metal sorption from 0.15 mmol L-1 solution, 124 Chem. Ind. Chem. Eng. Q. 22 (1) 117−126 (2016) the majority of sorbed metal was found in F5 and F2, about 65 and 17%, respectively. In F1 and F3 phase, Ni(II) ions were present with about 7.5% while almost insignificant amounts were found in F4 phase. Ni(II) distribution extremely changed with the increase of sorbent loading. After equilibration with 6×10-3 mol L-1 Ni(II) solution, the percentages in F1, F2 and F3 increased up to 24, 39 and 26%, respectively, whereas content in F5 was reduced to 7%. Figure 5. Effect of initial metal concentration on the distribution of Ni(II) ions sorbed by BNaOH+400. As a result of strong bonds with Ni(II) ions, BNaOH+400 can be recommended for utilization in water purification systems. Based on the results of sequential extraction analysis, the regeneration of the sorbent loaded with Ni(II) ions could hardly be feasible. Utilization of Ca2+ solutions might cause the removal of a part of exchangeable Ni(II) ions (maximum 7– –24%, depending on the previously sorbed amount). On the other hand, removal of Ni(II) ions bound to phases F3-F5 requires more aggressive conditions (Table 1). Thus, the removal of at least 40-60% (depending on the sorbed amount) of Ni(II) would result in deterioration and dissolution of HAP phase. Consequently, proper disposal of spent sorbent needs to be considered. Furthermore, such high stability of Ni(II) in sorbed form is preferential for soil remediation processes [40]. Knowing that the pollutants bonded to F1 phase are considered as mobile and potentially bioavailable [40], it can be concluded that stabilization of Ni(II) ions is more efficient when lower amounts were sorbed. Thus, usage of BNaOH+400 as an amendment for in situ remediation of Ni(II) contaminated soil can be recommended especially for lower contamination levels. M. ŠLJIVIĆ-IVANOVIĆ et al.: Ni(II) IMMOBILIZATION BY BIO-APATITE… Ni(II) sorption mechanism Experimental results indicate high complexity of Ni(II) sorption mechanism by variously treated bone sorbents. Relationships between sorbed metal quantities, equilibrium pH values, quantities of released Ca(II) ions and organic phase composition, indicated that several sorption mechanisms were operating: specific cation sorption, ion-exchange with Ca2+ from HAP surface, Ni(II) hydrolysis (with possible precipitation) and complexation with organic functional groups. Also, coprecipitation of new crystal phase cannot be excluded. However, the new Ni-containing HAP phases would be hard for detection using XRD analysis due to the fact that the XRD patterns of investigated samples have intensive background and broad peaks. Ion-exchange and specific surface sorption were common mechanism for all sorbents as they relate to HAP phase. On the other hand, chemical bonding by organic functional groups was mainly detected in case of untreated bones (sample B). The presence of functional groups such as -OH, amide, carbonyl, etc., can explain relative high sorption capacity of sample B considering very low specific surface area of powdered bovine bones (0.1 m2 g-1 [15]). Due to various treatments, organic phase removal caused the increase of specific surface area [15,20], which resulted in improved Ni(II) sorption capacities. In addition to above, Ni(II) removal from aqueous media using sample BNaOH+400 was especially enhanced in the low concentration range, due to Ni(II) hydrolysis and probably its precipitation. CONCLUSION Efficiency of bovine bones towards Ni(II) sorption was compared to the performance of materials produced following chemical, thermal and combined treatments. Sorption equilibrium was satisfactorily described by Langmuir and Freundlich isotherm models, while kinetics obeyed pseudo-second order kinetics. All tested treatments improved sorption capacity toward Ni(II) ions in respect to raw bones and different synthetic HAP samples. For initial metal concentrations higher than 10-4 mol L-1, sorption capacities increased in the order B < BNaOH < B400 < < BNaOH+400. The material with the highest sorption capacity towards Ni(II) was obtained by synergetic effect of chemical and thermal treatments indicating great utilization possibilities in water purification systems. The mechanism of Ni(II) sorption was extremely complex, and involved inorganic (HAP) and organic phase, when present. Sequential extraction analysis of BNaOH+400 loaded with lower amounts of Ni(II) Chem. Ind. Chem. Eng. Q. 22 (1) 117−126 (2016) showed that metal was preferentially found in residual fraction. 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Mater. 66 (1999) 151–210. MARIJA ŠLJIVIĆ-IVANOVIĆ ALEKSANDRA MILENKOVIĆ MIHAJLO JOVIĆ SLAVKO DIMOVIĆ ANA MRAKOVIĆ IVANA SMIČIKLAS Univerzitet u Beogradu, Institut za nuklearne nauke "Vinča", Beograd, Srbija NAUČNI RAD IMOBILIZACIJA Ni(II) BIO-APATITNIM MATERIJALIMA: PROCENA EFIKASNOSTI HEMIJSKOG, TERMIČKOG I KOMBINOVANOG TRETMANA Životinjske kosti su prirodni i bogat izvor kalcijum-hidroksiapatita (HAP), koji predstavlja pogodan materijal za sorpciju teških metala i radionuklida. Sadržaj organske faze kostiju se može redukovati različitim tretmanima i na taj način se poboljšavaju sorpciona svojstva. U ovoj studiji, upoređeni su sorpcioni kapaciteti sirovih goveđih kostiju (B) i uzoraka dobijenih hemijskim tretmanom pomoću NaOH (BNaOH), žarenjem na 400 °C (B400) i kombinovanim hemijskim i termičkim tretmanom (BNaOH + 400), korišćenjem Ni (II) jona kao sorbata. Maksimalni kapacitet sorpcije povećavao se u nizu B <BNaOH <B400 <BNaOH + 400. Na osnovu rezulata sorpcionih eksperimenata i FT-IR analize, utvrđeno je da je mehanizam sorpcije Ni(II) složen i da u njemu učestvuju i HAP i organska faze (ako je prisutna). Stabilnosti Ni (II) jona sorbovanih uzorkom BNaOH + 400 ispitana je primenom sekvencijalne ekstrakcije. Pri nižem opterećenju sorbenta najveća količina Ni(II) je detektovana u rezidualnoj fazi (65%), dok karbonata frakcija postaje dominantna (39%) sa porastom zasićenja sorbenta. Rezultati ukazuju na mogućnost primene BNaOH + 400 u prečišćavanju vode. Kao materijal na bazi apatita, sa niskim sadržajem organske materije i visokom efikasnošću sorpcije Ni(II), takođe je dobar kandidat za in situ remedijaciju zemljišta, posebno pri nižim koncentracijama metala u zemljištu. Ključne reči: goveđe kosti, tretmani, apatit, Ni (II), sorpcija, sekvencijalna ekstrakcija. 126