Annals of West University of Timisoara Series Chemistry 16 (1) (2007) 1-8 ANALYSES BY CONDUCTOMETRIC TITRATION OF CHLORIDES FROM WASTEWATERS THAT CONTAINS HEAVY METALS L aur a B ULG AR I U , Bri n d us a RO B U, D o in a B IL B A , M . M AC O VE A N U Technical University "Gh. Asachi" Iasi, Faculty of Chemical Engineering , Department of Environmental Engineering and Management, D. Mangeron, 71A, Iasi, 700050, ROMANIA Received: 07 March 2007 Modified: 09 March 2007 Accepted: 15 March 2007 SUMMARY The Romanian legislation trough its standards recommend to analyze the chlorides from wastewaters using the method of standard Mohr titration. A very facile and selective method is proposed for fast determination of chloride from wastewaters resulted from galvanization processes, by conductometric titration using AgNO3. The method allows to analyze the chlorides over the range 177.5 ÷ 17750 mg Cl-/l (5⋅10-3 ÷ 0.5 mol/l), with a detection limit of 34.21 mg Cl-/l. The interferences caused by several ions such as: (Fe(II), Fe(III), Pb(II), Zn(II), Cu(II), Co(II), Ni(II), SO42-) which can be present in wastewaters were identified. The validation of conductometric titration method was done by recovery test of chloride in artificial matrix and wastewaters resulted from a galvanization installation. The experimental results show that the proposed method can be successfully applied for the determination of chloride in metallurgical wastewaters. Keywords: chlorides galvanization. analyses; conductometric titration; wastewaters from INTRODUCTION In galvanization processes the hydrochloric acid is frequently used as pickling agent. Thus, from environmental point of view the determination of chloride content in 1 BULGARIU L., ROBU B. ET AL. wastewaters becomes necessary to establish the quality of these waters that are discharged into sewage [1, 2]. Conventionally, various methods such as ion-chromatography [3, 4], FIAspectrophotometry [5], colometry [6], spectrophotometry [7, 8] and potentiometry [9, 10] are used for chlorides analysis. These methods have excellent analytical performances like low detection limit and high sensitivity, but most of them are time and energy consuming or complicated and expensive instruments are needed. The Romanian legislation recommends trough its standards to analyze the chlorides from waste waters applying the titration method. This is the reason that for environmental analysis the chloride determination is recommended to be done using the method of standard Mohr titration [11, 12]. The Mohr method is a simple and inexpensive classical titration of chloride with AgNO3, in presence of K2CrO4 as standard. Using the Mohr method can be analyzed the chlorides content from water and soil samples, but the high accuracy of the experimental results is obtained only when the analyzed samples are clear, with pH between 4 and 6, and the content of heavy metals are relatively low. The presence of some heavy metals ions, such as Pb(II), Zn(II), Fe(II) etc., can consume the K2CrO4 (due to the formation of compounds with low solubility), and the end point of titration cannot be observed in time. Considering all these facts, the Mohr method is not suitable for chlorides analysis from wastewaters resulted from galvanization processes, where the heavy metal ions are used in considerable amounts. The purpose of this paper is to propose an alternative method to chlorides analyses in presence of heavy metal ions in order to be included in Romanian standards as recommended more suitable for chlorides analysis. The suitable method for that is the method of conductometric titration. MATERIALS AND METHODS Stock solution of 1 mol/l potassium chloride (Fluka, Buchs, Switzerland) was prepared by salt dissolving in distilled water and dilution to the 250 ml. Working solutions of chloride were prepared by dilution from stock solution with distilled water (H.G. 188/2002, H.G. 352/2005). The silver nitrate titrate solution (0.1 mol/l) was obtained by AgNO3 (Reactive Bucharest, Romania) dissolving in distilled water, followed by solution standardization, 2 CONDUCTOMETRIC TITRATION OF CHLORIDES FROM WASTEWATERS according with titrimetric procedure [11]. All others reagents were analytical reagents degree and were used without purification. The aqueous solutions were prepared with distilled water. All glassware was shaken in sulphochromic mixture, for at least 24 hours and washed with distilled water. The conductivity of working solutions was measured with a Radelkis OK-109 Conductometer (Budapest, Hungary), equipped with a conductivity cell of cell constant 1.47 cm-1. The conductivity was measured after the solution was homogenized, and the measured value is stable in this case for 30 or 60 seconds. Solution of 0.1 mol/l AgNO3 (from a 10-ml burette) was added, until at least five measured values after the equivalence points were made. The exact equivalence volume is obtained from titration curve. The selectivity coefficients were calculated as ratio between chloride concentration and interfering ions concentration which gives a 5 % equivalence volume change in a reference solution. The recovery test was done using artificial matrix and wastewaters resulted from galvanization process, without any preliminary treatment. The characterizations of artificial matrix and wastewater sample are presented in Table I. Table I. The composition of artificial matrix and wastewaters, used for recovery test Suspensions, mg/l pH Chloride, mg/l Fe total, mg/l Zn, mg/l Pb, mg/l Cr total, mg/l Artificial matrix Clear solution 3.26 1574 5.124 6.248 - Wastewaters 1667.0 4.45 3905 1979 2.023 0 RESULTS AND DISCUSSION Silver chloride has very low solubility in water and acid media. Thus, the addition of AgNO3 to a solution which contains chloride results in formation of white precipitate of AgCl, according with the well known reaction: (A+ + Cl-) + (Ag+ + NO3-) AgCl + (A+ + NO3-) (1) where: A+ is a common counter-ion. 3 BULGARIU L., ROBU B. ET AL. conductance conductance This reaction provides a basis for the determination of chloride by conductometric titration. Conductometric curves (Figure 1) were obtained using KCl laboratory solution (a), artificial matrix (b) and wastewater (c). In all cases, it can be observed that under equivalence, the solutions conductivity remains almost constant, due to the formation of AgCl, which a non dissociated precipitate is. After equivalence, the solutions conductivity increase proportional with the AgNO3 volume added in excess. The AgNO3 volume at equivalence point is obtained graphically, and is then used for the determination of chloride concentration, according with usual analytical calculation procedures [12]. 0 1 ve vAgNO3, ml 2 0 3 1 ve vAgNO3, ml 3 (b) conductance (a) 2 0 1 ve vAgNO3, ml 2 3 (c) Figure 1. Conductometric titration curves obtained after titration of: (a) 0.1 mol/l KCL; (b) 0.1 mol/l chloride added to artificial matrix; (c) wastewater with 0.11 mol/l chloride content. All solutions were titrated with aqueous AgNO3 0.1 mol/l. (ve – equivalence volume of AgNO3). 4 CONDUCTOMETRIC TITRATION OF CHLORIDES FROM WASTEWATERS The conductometric titration of chlorides with AgNO3 is a very facile and fast method, and can be used for environmental analysis, without a preliminary treatment of samples. The limit of detection was calculated as three times of standard deviation of six replicate measurements, the precision (RSD %) as well as other analytical characteristics [13, 14] of this method are summarized in Table II. Towards to Mohr method, the conductometric titration has several experimental advantages: (1) it can be analyzed samples with various pH, without affecting the accuracy of experimental results; (2) it is not necessary a preliminary treatment of samples; the presence of sediments doesn’t influence the conductometric titration of chlorides. This avoids the necessity for leaching and it reduces the analysis time from 30 min to cca. 5 min per sample; and (3) the presence of some heavy metal ions, which are frequently discharged in wastewaters resulted from galvanization process, does not interfere in chloride determination. To quantify the selectivity of this method, it was used the selectivity coefficients defined as the ratio of chloride concentration (cCl-) and interfering ion concentration (cj) which gives a 5 % equivalence volume change from the reference solution. Table II. The analytical characteristics of the proposed method Analytical parameter 177.5 ÷ 17750 mg Cl-/l Studied concentration domain Limit of detection (3σ) 34.21 mg Cl-/l Limit of quantification (10σ) 114.04 mg Cl-/l Variation coefficient 0.31 RDS % 1.08 σ - standard deviation (n=6, ca 23°C). In this study, the interfering ions were added to an identical reference solution, with a constant chloride content (1775 mg Cl-/l or 5⋅10-2 mol/l) until a 5 % change in equivalence volume was obtained. The calculated values of the selectivity coefficients are summarized in Table III. The values of selectivity coefficients show that Fe(II), Fe(III), Zn(II), Pb(II), Cu(II), Co(II), Ni(II), SO42- ions practically do not interfere, which means that this method can be used for quantitative determination of chloride in metallurgic waste waters. 5 BULGARIU L., ROBU B. ET AL. Table III. The selectivity coefficients values Interfering, j log aCl-,j Interfering, j log aCl-,j Fe(II) -2.936 Cu(II) -3.262 Fe(III) -2.868 Co(II) -3.478 Pb(II) -4.102 Ni(II) -3.472 Zn(II) -3.521 SO42-3.688 The aCl-,j values were determined in a 1775 mg Cl-/l reference solution and calculated for a 5 % changing in equivalence volume (n=4, ca 23°C). In order to use the selectivity advantages, the recovery test was done using an artificial matrix and metallurgic waste water, from S.C. MITTAL STEEL S.A Iasi, Romania, without a preliminary treatment. The composition of both, artificial matrix and metallurgic waste water, used for recovery test are presented in Table I. For to investigate the recovery of chloride volume of 20 ml from artificial matrix and metallurgic waste water was transferred to each of the four 50 ml volumetric flasks, and 0.0 ml; 5.0 ml; 10.0 ml and 15.0 ml chloride standard solution (3550 mg Cl-/l) was added to each flask. All the samples were analyzed by conductometric titration with AgNO3. The average recovery percentages obtained for the chloride addition to artificial matrix and metallurgic waste water are presented in Table IV. Table IV. The recovery test Cl- added, mg/l 0.0 355 710 1065 Artificial matrix Cl- found, mg/l 358.07 708.92 1067.52 % Recovery 100.86 99.84 100.23 Metallurgic waste water Cl- found, mg/l 3906.20 4263.05 4615.60 4981.23 % Recovery 100.04 99. 89 100. 20 As Table IV show a good recovery of chloride was obtained for both artificial matrix and metallurgic waste water samples, indicating that the components of these do not interfere significantly with the chloride determination. Therefore, this method can be a viable alternative for chloride determination in waters samples with a high content of heavy metal ions. 6 CONDUCTOMETRIC TITRATION OF CHLORIDES FROM WASTEWATERS CONCLUSION The conductometric titration is a facile and fast method for analysis of chlorides from wastewaters resulted from galvanization processes, and not only. The suitable detection limit (34.21 mg Cl-/l), appropriate dynamic range (177.5 ÷ 17750 mg Cl-/l) and well selectivity towards chloride at the presence of several heavy metal ions are parameters that have pointed out the applicability of this method. In addition, using this method for chloride determination can be analyzed samples with various pH and a preliminary treatment of these is not necessary. The results of recovery test showed that this method can be a better alternative device for the direct determination of chloride in metallurgic waste water. Considering also the fact that the energy consuming, time and reactive can be saved, this method is more suitable than classical method recommended by Romanian standards to analyze chlorides from wastewaters that contains various amounts of heavy metals. REFERENCES 1. 2. Fresenius W., Quenetin K.E., Schneider W., "Water analysis", Berlin: Springer Verlag, 1988, p. 217 Radojevic M., Bashkin V., "Practical Environmental Analysis", Royal Society of Chemistry, London, 1999, p. 356. 3. Chassanial K., Thomas D., "Determination of Chloride and Sulfate in Ethanol Using Ion Chromatography", Dionex Corporation, The Application Notebook, September 2006, www.dionex.com. 4. Biesaga M., Schmidt N., Seubert A., "Coupled Ion Chromatography for the Determination of Chloride, Phosphate and Sulfate in Concentrated Nitric Acid", J. Chromatogr. A, 1026 (2004) 195-200 5. Li Y.S., Dong Y.L., "Determination of Anion-Exchange Resin Performance Based on Facile Chloride-Ion Monitoring by FIA-Spectrophotometry with Applications to Water Treatment Operation", Anal. Sci., 20 (2004) 831-836. 6. Skowronski J.S., Wedl D.J., "Automated Determination of Chloride Concentration in Wort and Beer", ASBC Journal, 40(2) (1982) 75-77. 7. Yokoi K., "Colorimetric Determination of Chloride in Biological Sample by Using Mercury Nitrate and Diphenylcarbazone", Biolog. Trace Elem. Research, 85(1) (2002) 87-94. 8. Mesquito R.B.R., Fernandes S.M.V., Rangel A.D.S.S., "Turbidimetric Determination of Chloride in 7 BULGARIU L., ROBU B. ET AL. Different Types of Water Using a Single Sequential Injection Analysis System", J. Environm. Monit., 4 (2002) 458-461. 9. 10. Sanderson P.H., "Potentiometric Determination of Chloride in Biological Fluids", Biochem. J., 52 (1957) 502-505 Tang-Fei T., Gordon G., "Quantitative Determination of Chloride, Chlorite and Chlorate Ions in a Mixture by Successive Potentiometric Titration", Anal. Chem., 52 (1980) 1430-1433. 11. 12. Dean J.A., "Analytical Chemistry Handbook", New York, McGraw-Hill Inc., 1995, p. 22.6. Surpăţeanu M., Zaharia C., "ABC – Analysis methods of environmental factors quality", Editura T, Iaşi, 2002, p. 160. 13. 14. Christian G. D., "Analytical Chemistry", Fifth Edition, John Wiley & Sons, Inc., New York, 1994, p. 23 Das Gracos Andrade Korn M., Ferreira A. C., Teixeira L.S.G., Costa A.C.S., "Spectrophotometric Determination of Zinc Using 7-(4-Nitrophenylazo)-8-Hydroxyquinoline-5-Sulfonic Acid", J. Braz. Chem. Soc. 10(1) (1999) 46-50. 8