Green Chemistry View Article Online Published on 29 November 2016. Downloaded by National Chemical Laboratory, Pune on 13/02/2017 09:00:19. PAPER Cite this: Green Chem., 2017, 19, 778 View Journal | View Issue Solid base catalyzed depolymerization of lignin into low molecular weight products† Richa Chaudharya,b and Paresh L. Dhepe*a,b For the biorefinery concept to become commercially viable, it is essential to add value to lignin which is the only naturally available aromatic polymer. A one-pot depolymerization of lignin into reactive substituted phenolic compounds ( platform chemicals and octane enhancers) with low molecular weight is of paramount importance and for that, the development of an environmentally benign method is necessary. Herein we report the depolymerization of high molecular weight lignin (60 000 Da) over various recyclable solid base catalysts at 250 °C over 1 h. Under these conditions, most of the zeolitic catalysts (NaX, NaY, NaP) showed very high yields of low molecular weight products compared to other catalysts (MgO, CaO, HT, HAP). But in particular, over NaX the maximum yield (51%) of low molecular weight products was achieved. Identification and quantification of products was done by GC, GC-MS, HPLC, LC-MS, Received 28th September 2016, Accepted 29th November 2016 DOI: 10.1039/c6gc02701f rsc.li/greenchem 1. CHNS, NMR and FT-IR techniques. The revelation of retention of most of the functional groups on products present in lignin was confirmed by FT-IR studies. It is observed that the efficiencies of catalysts were dependent on pH, the cation, the type and concentration of basic sites, etc. A unique study on the product adsorption capacities on solids was done and it is recognized that as the strength of basic sites increases, adsorption enhances. Introduction Lignocellulosic material (wood, forest residues, and agricultural residues) has huge potential to be used as a starting material in the place of fossil feedstocks for the synthesis of chemicals. This profusely available renewable material is made up of three components, namely cellulose,1 hemicellulose2 and lignin. Under the biorefinery concept, although cellulose and hemicelluloses have been thoroughly studied for their conversions into bulk and fine chemicals,3–6 lignin has drawn less attention in this aspect. It is estimated that in the biosphere ca. 3 × 1011 tons of lignin is available and additionally ca. 2 × 1010 tons is generated annually, thus making it one of the most abundant naturally available polymers.7 Lignin is obtained as a major by-product during bio-ethanol production and is also isolated as black liquor in paper and pulp industries. It is a complex 3-D amorphous polymer present in plants (10–25%) comprising of three basic phenylpropanol alcohol precursors, namely coumaryl alcohol, coniferyl alcohol and sinapyl alcohol, which are collectively called monolignols. In lignin, numerous aromatic units are linked via uC–O–Cu a Catalysis and Inorganic Chemistry Division, National Chemical Laboratory, Dr. Homi Bhabha Road, Pune 411008, India. E-mail: pl.dhepe@ncl.res.in b Academy of Scientific and Innovative Research (AcSIR), New Delhi, India † Electronic supplementary information (ESI) available. See DOI: 10.1039/ c6gc02701f 778 | Green Chem., 2017, 19, 778–788 (60–70%) and uC–Cu bonds.8 Of the various types of uC–O– Cu linkages present in lignin, the β-O-4 linkage is the most abundant linkage as it comprises around 45–60% of all the linkages found in lignin; other linkages such as dihydrobenzofuran, β–β, β-5 and 4-O-5 are present in minor quantities.9,10 Contrary to the well established structures of cellulose and hemicelluloses, lignin does not have a definite structure (Fig. S1, ESI†) since it varies depending on the local weather, humidity, temperature, plant species, the age of the plant etc. Nevertheless, as discussed, several building blocks of lignin are randomly distributed and coupled via numerous linkages to produce the world’s only naturally occurring aromatic polymer. Conventionally lignin is employed for the generation of heat and power (cogeneration) but it is argued in many forums that until valuable chemicals are synthesized from lignin through a biorefinery concept, the cellulose to ethanol conversion process will not become economical.11 Since the polyphenolic aromatic structure of lignin is ideally suitable to obtain value added low molecular weight aromatic compounds, which can be used as building blocks or platform chemicals for the subsequent synthesis of several chemicals; in recent times efforts have been devoted to the development of catalytic methods for the depolymerization of lignin. Several literature reports suggest that depolymerization of lignin is possible using solid acids,12–14 homogeneous acids,15,16 ionic liquids,17,18 supported metal catalysts,19–22 This journal is © The Royal Society of Chemistry 2017 View Article Online Published on 29 November 2016. Downloaded by National Chemical Laboratory, Pune on 13/02/2017 09:00:19. Green Chemistry supercritical fluids23,24 etc. to yield low molecular weight aromatic products. However, most of these methods are associated with quite a few drawbacks such as the use of model compounds instead of lignin and also operation at either higher temperatures (≥250 °C) or pressures (>3 MPa) or both. Amongst all the methods known, the base catalyzed depolymerization (BCD) method is well studied. BCD of lignin using sodium hydroxide (NaOH) in an aqueous media at high temperatures (240–340 °C) and high pressures (∼10 MPa) has been shown to produce phenol and its derivatives such as catechol, syringol, guaiacol, vanillin etc. in quantitative yields.25–28 It has also been shown that organosolv olive tree pruning lignin can be depolymerized with 4 wt% NaOH at 300 °C & 9 MPa to yield 20% catechol. Studies on the effect of base (NaOH, KOH, Ca (OH)2, LiOH, or K2CO3) on the depolymerization have also been carried out and it was observed that NaOH catalyst shows the paramount depolymerization activity due to its strong strength.28 In yet another report, the depolymerization of Kraft lignin is reported with 5 wt% NaOH at 270–315 °C & 13 MPa to yield monomeric products.29 Besides these, a few more reports also discuss the depolymerization of lignin using homogeneous bases.28,30–34 Nevertheless, to surmount the apparent drawbacks (corrosivity, separation of catalyst etc.) associated with the use of a homogeneous base, solid bases along with mostly metal catalysts are also studied for depolymerization. A hydrotalcite supported Ni catalyst (Ni/HTC) was reported to cleave the β-O-4 aryl–ether bond present in the lignin model compound, 2-phenoxy-1-phenethanol (PE) at 270 °C to yield phenol and acetophenone as products.2 The same catalyst was also used for the depolymerization of organosolv and ballmilled lignin to yield a mixture of alkyl-aromatic products.2 The employment of a porous metal oxide supported copper catalyst (Cu-PMO) for the depolymerization of organosolv lignin into derivatives of catechol and some oligomers under 3–6 MPa H2 pressure at 140–220 °C is also reported.35 The Cudoped PMO catalyst was again studied for the conversion of the lignin model compound dihydrobenzofuran (DHBF) under supercritical conditions to achieve ether hydrogenolysis and aromatic ring hydrogenation at 300 °C.36 Recently, at 250 °C the depolymerization of pine lignin with MgO as a catalyst was reported to yield ca. 13% of phenolic monomers at >90% conversion level.37 However, the use of low molecular weight lignin (Mn = 892 Da & Mw = 1360 Da) and the formation of solids of high molecular weight (Mn = 540–600 Da and Mw = 790–900 Da) are drawbacks of this method. Recently, over a nitrate-intercalated hydrotalcite catalyst, cleavage of the β-O-4 linkage in the lignin model compound 2-phenoxyl-1-phenethanol (PE) to phenol, acetophenone and 1-phenethanol was shown to be possible. Furthermore, the same catalyst was evaluated for the depolymerization of lignin-enriched substrates at 275 °C and ca. 8% yield for monomers was achieved.38 The use of high temperature, difficulties in effective recycling of catalyst and low yields with lignin substrates (Mn = 890–1700 Da, Mw = 4900–8600 Da) are a few shortcomings of this study. Considering the drawbacks associated with these reports (either the use of low molecular weight lignins or the use of This journal is © The Royal Society of Chemistry 2017 Paper model compounds and low yields of desired products), it is indispensable to develop a solid base catalyzed methodology for the efficient depolymerization of actual high molecular weight lignin into low molecular weight aromatic products under milder reaction conditions (T ≤ 250 °C) in a one-pot process. For this purpose, diverse solid base catalysts were evaluated for their depolymerization activities at low temperature (≤250 °C) and atmospheric pressure with lignin having a molecular weight of ca. 60 000 Da.39 To carry out the depolymerization study, several types of solid base catalysts could be used, e.g. alkali metal exchanged zeolites, clays, alkali and alkaline earth metal oxides, and rare earth metal oxides etc.2,35,37 Particularly, zeolites with a lower Si/Al ratio were used in this work because they tend to be more stable under alkaline conditions (for detailed discussions please refer to section 2.3.9, ESI†). 2. Experimental section 2.1 Chemicals & materials Alkaline lignin used in this study was obtained from TCI chemicals, India.40 Basic zeolites, NaX (Si/Al = 1.2)41 NaP (Si/Al = 1.69)42 and KLTL (Si/Al = 2.7)43 were synthesized using known procedures. NaY (Si/Al = 3.6) zeolite was procured from Zeolyst international, USA.44 Metal oxides such as calcium oxide (99.99%) and magnesium oxide (98%) were purchased from Sigma Aldrich. Hydrotalcite (Mg/Al = 3) and hydroxyapatite (Ca/P = 1.66) were purchased from Sigma Aldrich. Aromatic monomers (guaiacol, 2-methoxy-4-methylphenol, pyrocatechol, resorcinol, 2,6-dimethoxyphenol, 4-hydroxy benzyl alcohol, homovanillic acid, hexadecane, diethylterephthalate, 2,4-di-tert-butylphenol, acetoguaiacone, 4-hydroxy-3-methoxybenzyl alcohol, 1,2,4-trimethoxybenzene, vanillin, eugenol, 3,4-dimethoxyphenol) used for GC calibration were purchased from Sigma Aldrich and Alfa Aesar. All the chemicals were used as received. Prior to the catalytic runs all the catalysts were activated at 150 °C for 2 h under vacuum (10−4 MPa). 2.2 Base catalyzed depolymerization Prior to the reactions, detailed characterization of the alkaline lignin and catalyst was done (sections 1 and 2, ESI†). The synthesis procedures of NaX and KLTL are mentioned in sections 2.1 & 2.2, ESI.† Lignin depolymerization reactions were conducted in a batch mode autoclave (Parr, USA). EtOH : H2O (1 : 2 v/v) was used as the reaction media in all the reactions. In a typical reaction, the lignin : solvent (ethanol : water) mass ratio was 1 : 60 and the lignin : catalyst mass ratio was maintained at 1 : 1. Initially, the reactor was flushed with nitrogen and the heating of reactor was started under slow stirring (100 rpm). After attaining the desired reaction temperature (250 °C), the stirring rate was increased to 1000 rpm and this was considered as the starting time of the reaction. After the reaction, the reactor was cooled to room temperature under air and water flow. The catalyst was separated from reaction mixture Green Chem., 2017, 19, 778–788 | 779 View Article Online Paper by centrifugation and washed thoroughly with EtOH : H2O in order to remove any adsorbed lignin or products on the catalyst (section 3.1, ESI†). Published on 29 November 2016. Downloaded by National Chemical Laboratory, Pune on 13/02/2017 09:00:19. 2.3 Extraction of products After separation of the solid (catalyst and any other degradation products insoluble in solvent) from the solvent (ethanol : water), acidification of the liquid layer was done with 2 N HCl solution until the pH reached 1–2. This treatment helped precipitate out the high molecular weight products (filter cake). After separation of the precipitate from the liquid by centrifugation and filtration, the following workup procedure was applied. The liquid fraction was subjected to a liquid–liquid extraction process with diethyl ether (DEE) and ethyl acetate (EtOAc), since lignin is not soluble in these solvents (Table S1, ESI†). The solid (filter cake) was also subjected to DEE and EtOAc treatments for the extraction of any products in these solvents. The soluble fraction was filtrated and the undissolved solid (residual lignin or oligomers) was ovendried at 55 °C. The organic solutions obtained after treating the liquid and solid were vacuum evaporated to obtain the oily products. The percentage of organic solvent soluble products was calculated based on the solid recovered after evaporating the respective solvents (section 4, ESI†). The detailed methodology for the separation of products is presented in Fig. 1. 2.4 Analysis of depolymerized products The organic solvent soluble products were analyzed by gas chromatography (GC), GC-mass spectroscopy (GC-MS), high performance liquid chromatography (HPLC) and LC-MS techniques for the identification and quantification of products (section 5, ESI†). The GC was equipped with a flame ionization detector (FID) and a capillary column, HP-5 (5% phenyl 95% dimethylpolysiloxane, 30 m × 0.25 mm). The temperature Fig. 1 Methodology for separation of products (*analysed using GC, GC-MS and HPLC). 780 | Green Chem., 2017, 19, 778–788 Green Chemistry program used was: 100 °C (hold time of 4 min) → 280 °C (ramp rate of 10 °C min−1 and held for 20 min). Nitrogen was used as a carrier gas. To determine the molecular weight of the products identified from GC, a Varian make 3800 GC-MS, (Saturn 2000 MS) with a VF-5 capillary column (5% phenyl 95% dimethyl polysiloxane) (30 m × 0.25 mm) was used. Helium was used as a carrier gas and the column oven program used was same as that for GC analysis. From the mass spectrum, the m/z value of the compounds was obtained and the GC-MS peaks were matched with the mass spectra in the NIST library for compound identification. 3. Results and discussion 3.1. Base catalyzed lignin depolymerization For base catalyzed depolymerization of lignin performed in ethanol : water, a variety of solid base catalysts were used and their physico-chemical properties are summarized in the ESI (Fig. S2 and Table S2).† The reactions were performed in a batch mode reactor and after the reaction, low molecular weight products were extracted from the reaction mixture in diethyl ether (DEE) and ethyl acetate (EtOAc) solvents (for more details please refer to the Experimental section). 3.1.1. Evaluation of various solid base catalysts in lignin depolymerization. For the exploration of an efficient catalytic system to depolymerize lignin, various types of solid base catalysts were evaluated at 250 °C for 1 h. As can be seen from Fig. 2, zeolites (NaX, NaY, NaP, KLTL), anionic clay (Hydrotalcite (HT)), single metal oxides (MgO, CaO) and hydroxyapatite (HAP) were active for the depolymerization of lignin with varying yields (10–51%) of diethyl ether (DEE) and ethyl acetate (EtOAc) soluble low molecular weight products. Fig. 2 Depolymerization of lignin using solid base catalysts. Reaction conditions: lignin : NaX = 1 : 1 wt/wt, EtOH : H2O (1 : 2 v/v) 30 mL, 250 °C, 1 h. DEE: diethyl ether, EtOAc: ethyl acetate, SR Mix. Sol.: products extracted from solid (catalyst + adsorbed products) using a mixture of DEE and EtOAc (1 : 1 v/v). All the experiments were done 3 times and ±3% error in yields was observed. The results presented in this figure are the average of three runs. This journal is © The Royal Society of Chemistry 2017 View Article Online Published on 29 November 2016. Downloaded by National Chemical Laboratory, Pune on 13/02/2017 09:00:19. Green Chemistry Among all the catalysts, the Na exchanged X zeolite (NaX) showed the best activity of 51%. All other zeolite catalysts (NaY, NaP and KLTL) also showed better activity (30–38%) compared to the other catalysts. Under similar reaction conditions, without catalyst, a 24% yield for low molecular weight products was observed, which illustrates that lignin depolymerization is a catalytic reaction. To corroborate this fact; NaP catalyst was added to a reaction without catalyst, and a 13% increase in yield (37%) was observed (section 3.2, ESI†). For the comparison of yields obtained with solid base catalysts, homogeneous base (Na2CO3) catalyzed depolymerization of lignin was carried out under similar conditions (250 °C, 1 h) (Fig. 2). The results reveal that with a homogeneous base, 34% yield is obtained, which was comparable with most of the solid base catalysts, yet it was lower than that obtained with the NaX catalyst. Conventionally, homogeneous base catalyzed lignin depolymerization reactions are carried out with strong bases like NaOH or CsOH instead of a weak base like Na2CO3. But under these reaction conditions, when the effect of pH on the depolymerization was studied (for details please refer to section 3.1.4.), it is established that a pH of 9 is the optimum to achieve the best catalytic results and with a weak base like Na2CO3 employed in this work, a pH of 9.2 under the reaction conditions could be maintained. 3.1.2. Identification and quantification of depolymerized products. The formation of low molecular weight products was confirmed by GC, GC-MS, HPLC and LC-MS analysis. In the GC-MS profiles (Fig. S3–S6, ESI†) of the DEE and EtOAc soluble products obtained in NaX catalyzed reaction, the majority of the peaks identified were for low molecular weight products. Furthermore, with the aid of commercially procured standard compounds, it was feasible to quantify these products (ca. 35% out of 51% products) and the details on their structures and yields are summarized in Table 1. From the identified products it is safe to comment that ethanol, which is used as a reaction solvent, does not participate in the reaction as a substrate. This is because in most of the products, –OCH3 (methoxy) groups are attached to the aromatic ring, instead of the –OCH2CH3 groups to be expected if ethanol contributes towards product formation. This also reveals that lignin does not undergo an alcoholysis reaction but rather is depolymerized through a hydrolysis reaction (by yielding –OH groups on aromatic rings. The presence of –OH groups is also observed in almost all identified products). A careful look at the GC-MS chromatographs of the DEE and EtOAc extracted products from liquid reveals that the concentration of low molecular weight products extracted in DEE is much higher compared with EtOAc (Fig. S3 and S4, ESI†). This is understandable since from the liquid, products were first extracted in DEE and then EtOAc was used to extract the products from liquid. However, the weight of the products isolated in EtOAc (Fig. S4, ESI†) is higher than those extracted in DEE (Fig. S3, ESI,† NaX catalyzed reaction). Considering this, it is expected that in EtOAc solvent, oligomers (dimers, trimers) are extracted (which again are depolymerization products but not complete). This phenomenon is also evident from the fact that a higher This journal is © The Royal Society of Chemistry 2017 Paper concentration of products (typically oligomers which are precipitated out during acidification)27,29 from filter cake (solid) were extracted in EtOAc (Fig. S6, ESI†) than DEE (Fig. S5, ESI†). 3.1.3. Product adsorption study. An attentive look at Fig. 2 reveals that with MgO, CaO, HT and HAP catalysts, the contribution by DEE soluble products towards the overall yield is higher than EtOAc extracted products. This trend is contradictory to the results obtained with NaX, NaY, NaP and KLTL catalysts (Fig. 2) where more products were extracted in EtOAc than extracted in DEE. But the total yield for DEE soluble products is still higher for the NaX, NaY and NaP catalysts than other catalysts. It is astonishing to see (Fig. 2) that with HAP, HT, MgO and CaO as catalysts, the overall yield of products (10–18%) is lower than for the non-catalytic reaction (24%). This is probably due to two factors: the adsorption of formed products on these catalysts, or further (degradation) reactions of the formed products on these catalysts. It is also reasonable to believe that both of these reasons might be responsible for observing this phenomenon. To understand these results further, the weight of the separated solid (by centrifugation before acidification, Fig. 1) was checked and it was noticed that with these catalysts, only an increase in the weight of solid (after recovery, the solid was dried in an oven at 55 °C for 16 h) was seen compared to any other catalyst such as NaX, NaY, NaP and KLTL (Tables S3 and S4, ESI†). Since lignin and depolymerized low molecular weight products are soluble in the reaction solvent (ethanol : water), the solid recovered after the reactions is either only catalyst or catalyst with adsorbed products. To comprehend this possibility, products adsorbed on these catalysts (HAP, HT, MgO and CaO) were attempted to be extracted in the mixture of DEE and EtOAc and as can be seen in Fig. 2 and Table S3 (ESI†), only 1–7% of products could be extracted from these solids. Still, even after the extraction of adsorbed products in the mixture of solvents, the weight of the solid (catalyst + adsorbed products) was higher than the charged catalyst (Table S3, ESI†). This is indicative of the fact that products are strongly adsorbed on the catalyst. To check the adsorption of these products further, a set of experiments was done with a mixture of five aromatic monomers ( phenol, p-cresol, guaiacol, eugenol and vanillin) which resemble products identified in the depolymerization reactions of lignin. The reactions were done under optimized reaction conditions (250 °C, 1 h) with NaX and CaO as catalysts and it was apparent from the GC chromatographs that while slight decreases in the peak intensities of eugenol (5%) and vanillin (41%) were seen with NaX as a catalyst (Fig. 3D and E); with CaO as a catalyst, a huge decrease in the peak intensities for 3 monomers was observed, along with the disappearance of the peaks for eugenol and vanillin (Fig. 3A–C). Moreover, the recovered CaO catalyst was washed with organic solvents (DEE, EtOAc) and it was observed that the separation of few products was possible from the catalyst (Fig. S7, ESI†). These results clearly indicate that on CaO, a large amount of products were adsorbed, but on NaX, a minimal amount of products was Green Chem., 2017, 19, 778–788 | 781 View Article Online Paper Green Chemistry Table 1 Quantification of identified lignin depolymerization products. Reaction conditions: lignin : NaX = 1 : 1 wt/wt, EtOH : H2O (1 : 2 v/v) 30 mL, 250 °C, 1 h Published on 29 November 2016. Downloaded by National Chemical Laboratory, Pune on 13/02/2017 09:00:19. Monomer Structure Yield (wt%) Guaiacol 1 Pyrocatechol 0.3 2-Methoxy-4-methylphenol 3.7 Resorcinol 0.8 4-Hydroxy benzyl alcohol 1.4 2,6-Dimethoxy phenol 0.03 Eugenol 0.4 1,2,4-Trimethoxybenzene 0.03 Vanillin 3.6 3,4-Dimethoxyphenol 0.02 4-Hydroxy-3-methoxybenzylalcohol 0.3 Acetoguaiacone 4.1 2,4-Di-tert-butylphenol 0.5 Hexadecane Homovanillic acid 0.5 0.3 Diethyl-terephthalate 0.6 adsorbed. Similar experiments were also performed with HAP, HT & MgO, and analogous results to those obtained with CaO were seen. Although it was obvious from the above study that 782 | Green Chem., 2017, 19, 778–788 products are adsorbed on CaO, there was a likelihood that the products underwent some reaction under the reaction conditions employed for the adsorption study. Hence, to check This journal is © The Royal Society of Chemistry 2017 View Article Online Green Chemistry Paper Published on 29 November 2016. Downloaded by National Chemical Laboratory, Pune on 13/02/2017 09:00:19. pH of all the catalysts (section, 2.3.7, ESI†) was measured and the following order of decreasing pH was seen: CaO ðpH " 13:4Þ > HT ðpH 12:5Þ > MgO ðpH 10:5Þ > KLTL ðpH 9:4Þ > NaX ðpH 9:2Þ > NaY ðpH 8:7Þ ¼ NaP ðpH 8:7Þ % HAP ðpH 8:5Þ > Millipore water ðpH 6:8Þ: As can be seen from Fig. 4, the maximum product yield (51%) was observed at pH 9.2, measured for the NaX catalyst. It is anticipated that with an increase in pH, side reactions are possibly dominant and hence the yield for the desired products would decrease. Since during the reactions with NaY (38%) and NaP (34%), which have a pH of 8.7, good activities compared with other catalysts were observed (Fig. 2), the reaction with NaX was carried out at pH 8.7 (by decreasing the loading of catalyst) but a decrease in yield (39%) was observed. This highlights the fact that pH 9.2 might be better to achieve higher yields (Fig. 4). Subsequently, reactions were done with CaO and MgO by charging appropriate quantities of catalysts to maintain a pH of 9.2 (Table S6, ESI†). As can be seen from Fig. 5, when the pH was maintained at 9.2, the product yield was almost doubled with these catalysts Fig. 3 GC chromatographs of a mixture of phenol, p-cresol, guaiacol, eugenol and vanillin in 30 mL EtOH : H2O (1 : 2 v/v) (A) before reaction with CaO, (B) after reaction with CaO at 30 °C, (C) after reaction with CaO at 250 °C, (D) before reaction with NaX, (E) after reaction with NaX at 250 °C. Reaction conditions: monomers (0.1 g each), catalyst (0.5 g), 1 h. this, the adsorption study was subsequently done under ambient conditions (30 °C, 1 h, nitrogen flushing) and the results imply that the adsorption of formed products is even possible under ambient conditions (Fig. 3). Similarly, it is also indicative that these products are not degrading under the reaction conditions (no prominent extra peaks were visible in the GC chromatographs, Fig. 3). Furthermore, adsorption studies were done with single molecules. Vanillin and eugenol were chosen for the study as these molecules adsorbed much more compared to others on the catalyst. It was observed from the earlier studies that these products adsorbed on catalyst under ambient conditions, so further experiments were performed at 30 °C for 1 h. It is understood from the study that with single molecules, a similar type of adsorption phenomenon was observed (Table S5, Fig. S8, ESI†). 3.1.4. Effect of basicity on the catalytic activity. To realize the reason for the disparity observed in the activity of the various catalysts employed in this work, it was important to correlate the activity with the basicity of catalysts. Firstly, the This journal is © The Royal Society of Chemistry 2017 Fig. 4 Effect of pH on the product yield. Fig. 5 Effect of pH on lignin depolymerization using various solid base catalysts. Reaction conditions: lignin (0.5 g), catalyst, 30 mL EtOH : H2O (1 : 2 v/v), 250 °C, 1 h. Green Chem., 2017, 19, 778–788 | 783 View Article Online Published on 29 November 2016. Downloaded by National Chemical Laboratory, Pune on 13/02/2017 09:00:19. Paper Green Chemistry (CaO, 39% yield; MgO, 38% yield) compared to reactions performed at a higher pH (Fig. 2 and 4). These results establish the fact that pH is a vital factor in achieving higher yields of products. It is also possible that with a decrease in catalyst loading (CaO and MgO, Table S6, ESI†) to maintain the pH at 9.2, the amount of products adsorbed on the catalyst may change. This in turn can show higher yields in the reaction. To ascertain this fact, the weight of the solid obtained after the reaction (catalyst + adsorbed products) was checked (Table S3, ESI†). As can be seen from the data, an almost similar percentage (54% for 0.5 g catalyst and 45% for 0.0055 g catalyst) of increase in the weight of solid was observed after recovering the solid from the reaction mixture. This may suggest that due to the decrease in loading of catalyst, while maintaining the pH, yields might have improved. However, at the same time, when the NaX loading was changed to maintain the pH at 8.7 instead of 9.2, a decrease in yield was seen. This means that the pH is also playing a crucial role in achieving higher yields of product. However, detailed study on this is necessary to conclude these findings. Although it is observed that pH plays an important role in governing the activity of a catalyst, it is related to the amount of basic sites available on the catalyst. This is particularly important in this work since all the catalytic reactions were performed by charging a similar weight of catalyst. Therefore, a TPD-CO2 study was performed to know the concentration of basic sites on each catalyst (Fig. S2, ESI†) and the following trend of basicity with respect to each catalyst was seen: CaO ð1:96 mmol g&1 Þ > NaX ð0:42 mmol g&1 Þ % HT ð0:40 mmol g&1 Þ > NaY ð0:34 mmol g&1 Þ > MgO ð0:24 mmol g&1 Þ > KLTL ð0:14 mmol g&1 Þ % HAP ð0:12 mmol g&1 Þ > NaP ð0:09 mmol g&1 Þ: From this data it was tricky to draw any conclusions since on both NaX and HT catalysts, although almost the same amount of basic sites are available they showed very different depolymerization activities (NaX, 51%; HT, 10.2%) (Fig. 2). Nonetheless, this difference in activity can partially be explained on the basis of the dissimilarity between the adsorption of products on these catalysts (since compared to NaX, the adsorption of products on HT was very high, for more information, please refer to section 3.1.3; Fig. 5). Comparable observations of differences in activity even with almost similar basic site concentrations were also made with NaP (0.09 mmol g−1, 34%) and HAP (0.12 mmol g−1, 18%) catalysts. So, it is broadly suggested that irrespective of the concentration of basic sites on the catalyst, adsorption also plays an important role in governing the activities of catalysts (section 3.1.3). To extend this further, when the pH was maintained at 9.2 with CaO and MgO catalysts, improvements in activities were achieved (Fig. 5) even though these catalysts are known to adsorb products (section 3.1.3; Fig. 2 and 3). To explain this, it is proposed that the adsorption of products might be a pH dependent phenomenon, i.e. with an increase in pH, the possi- 784 | Green Chem., 2017, 19, 778–788 bility of adsorption of products increases. This is evident from the fact that the product adsorption study with catalysts like NaX ( pH, 9.2) and CaO ( pH, 13.4) was done with dissimilar pH values (section 3.1.3). But when the reaction with CaO was performed at a pH of 9.2, higher activity (39%, Fig. 5) was seen compared to the reaction done with the same catalyst at a pH of 13.4 (Fig. 2). This possibly may be because a lower amount of products is adsorbed at a pH of 9.2. This explanation is practical, considering that under the reaction conditions, 5 model compounds used in the adsorption study did not show any degradation (Fig. 3, section 3.1.3). Other interesting information that could be extracted from the catalytic results and the data on the concentration of basic sites on different catalysts is that even if similar catalytic activity was achieved with NaP (34%) and NaY (38%) catalysts (Fig. 2), the concentration of basic sites on these catalysts is different (NaY = 0.34 mmol g−1; NaP = 0.09 mmol g−1). To explain this fact, data on the strength of the basic sites was helpful (Fig. S2, Table S2, ESI†). By considering that the desorption of CO2 at lower temperatures (<500 °C) represents the presence of weak basic sites and the desorption of CO2 at higher temperatures (>500 °C) represents the presence of strong basic sites, the difference in activities is correlated with the strength of the basic sites in the catalysts. From the TPD-CO2 profiles of both NaY and NaP catalysts, it can be seen that both these catalysts have only weakly basic sites and they show similar pH (8.7), whereas from the TPD-CO2 profiles of other catalysts (HT, MgO, CaO, HAP) which typically showed lower product yields (Fig. 2) it could be observed that they have either strong basic sites along with weak basic sites, or have only strong basic sites (Fig. S2, Table S2, ESI†). These observations may suggest that the presence of strong basic sites might be responsible for achieving lower yields. This also can be correlated with the fact that due to the presence of strong basic sites, the pH of these catalysts was higher ( pH > 10) even when the total basicity was lower (MgO, 0.24 mmol g−1; HAP, 0.12 mmol g−1) in these catalysts than the best catalyst, NaX (0.42 mmol g−1, pH 9.2). The observance of weak basic sites on zeolites is expected since in zeolites basicity arises due to covalently bonded framework oxygen, and it is reported that if basic zeolites are prepared by an ion-exchange method then those show weak basicity compared to alkaline earth metal oxide catalysts. Even though efforts have been made to correlate the activity with basicity of the catalysts, discussions on the strength of basic sites cannot be established only on the basis of TPD-CO2 studies since basic catalysts invariantly gain their basicity after treating them at very high temperatures (>550 °C) by removing water and carbon dioxide which have poisoned the catalytically active sites. Nevertheless, since in this work water is used as one of the solvents, it is possible that basic sites on catalysts may get poisoned and have different morphologies than expected. Moreover, MgO and CaO, being almost insoluble in water (reaction solvent), would form hydroxide species (Mg(OH)2 and Ca(OH)2)45 which would have completely different basic strengths under the reaction conditions. These This journal is © The Royal Society of Chemistry 2017 View Article Online Published on 29 November 2016. Downloaded by National Chemical Laboratory, Pune on 13/02/2017 09:00:19. Green Chemistry hydroxide species are known to be sparingly soluble in water and give turbid solutions (limewater). Particularly, at higher temperatures, many hydroxides tend to form oxides again and thus lose their ability to dissolve in water (solubility of Ca(OH)2 in water: 0.159 g per 100 g at 25 °C to 0.071 g per 100 g at 100 °C; solubility of CaO in water: 0.120 g per 100 g at 25 °C to 0.054 g per 100 g at 100 °C).46 On the contrary, the solubility of Mg(OH)2 in water follows the reverse trend and higher solubility in water is found with an increase in temperature (0.0009 g per 100 g at 18 °C to 0.004 g per 100 g at 100 °C;47 solubility of MgO in water, 0.086 g per 100 g at 30 °C) (Table S7, ESI†). The calculations suggest that >95% of catalyst still remains in a heterogeneous form (Table S7, ESI†). Nonetheless, typically when the solubility of M(OH)x is <0.01 g per 100 g of water, it is considered as insoluble in water.48 Furthermore, to check whether Ca(OH)2 could catalyse this reaction, an experiment with 0.016 g Ca(OH)2 was carried out, considering that only 3.17% of CaO exists in Ca(OH)2 form (Table S7, ESI†). The observance of 23% yield of products states that Ca(OH)2 does not contribute to the reaction. This is because without catalyst, only 24% yield was observed. This shows that the reaction is mainly catalyzed by solid CaO and MgO. Additionally, since Na exchanged zeolites showed good activity, and from the TPD-CO2 and catalytic results it is known that greater basic strength might not be favorable in this reaction, other alkali ions (Cs, K etc. having higher basic strength compared to Na) exchanged zeolites were not used except KLTL in this study. For the same reason, other alkaline earth oxides (BaO, SrO) having higher basic strengths compared to CaO and MgO were also not expected to show enhancement in yields and thus were not evaluated. Nonetheless, scope still remains to evaluate the catalytic activity of these catalysts having higher basic strength by maintaining a pH of ca. 9.2. Thus, all the above discussions establish the fact that catalytic activities are dependent on many factors like pH, the concentration of basic sites, the type of basic sites, the presence of alkali metal, the adsorption of products, etc., and all these factors are interconnected. Therefore, it is essential to optimize the catalyst properties to achieve higher activity and from this work, it is proposed that to achieve higher yields the most important factor is to maintain the pH of the reaction solution around 9.2. Moreover, it is proposed that zeolitic catalysts, if they are stable under reaction conditions and are completely insoluble in water, would be better choices than metal oxides. 3.1.5. Effects of temperature and time on lignin depolymerization. By now, it is apparent that amongst all the catalysts evaluated, NaX shows the best yield (51%) within 1 h at 250 °C. Nevertheless, to enhance the yield of low molecular weight products, the reaction was conducted at 240 °C for 1 h with the NaX catalyst as it was expected that by lowering the reaction temperature, degradation of the formed products (if any) would be suppressed. However; with a decrease in temperature, a decline in the yield (33%) was observed (Fig. S9(A), ESI†). A further decrease in temperature to 230 °C again showed lower yields (14%). This decline in yield may be attri- This journal is © The Royal Society of Chemistry 2017 Paper buted to a simple temperature effect or the properties of ethanol. Since ethanol has Pc of 6.06 MPa and Tc of 241 °C, it is evident that at the reaction temperature (250 °C), ethanol is present in a subcritical state (4.2 MPa pressure was observed at 250 °C). Though at 240 °C ethanol can also be under the subcritical state, the pressure was only 3.7 MPa. To comprehend the effect of pressure, the reaction was carried out at 240 °C by charging 0.3 MPa of nitrogen (at room temperature) and a total pressure of 4.3 MPa was attained at 240 °C. Under these conditions, 43% yield was obtained which is 10% higher than was achieved when the reaction was carried out in the absence of nitrogen pressure at 240 °C. This suggests that pressure plays an important role in achieving higher yields. In our earlier work on solid acid catalyzed depolymerization, the effect of pressure on the reaction was studied in detail and it was established that with an increase in pressure, the yield of products increases.12,13 Subsequently, the reaction was performed at higher temperature (260 °C) believing that higher pressures would benefit the reaction, but again, a slight decrease in yield (46%) was seen, which was against expectation. Thus, 250 °C is an optimum temperature to carry out the depolymerization of lignin using NaX catalyst. Since on the NaX catalyst, unlike CaO and other catalysts, only a minimal quantity of products was adsorbed under the reaction conditions, it is assumed that the decrease in yield at higher reaction temperatures is due to degradation and/or repolymerization reactions. Nevertheless, detailed study is required to comment further on this matter. The effect of reaction time on the product yield was investigated at 250 °C over NaX as a catalyst in a ethanol : water (1 : 2 v/v) solvent system (Fig. S9(B), ESI†). The product yield was increased up to 51% for a reaction time of 1 h and beyond this time the product yield started declining. However, a careful look at the results implies that although the overall yield decreased over 2 h, the contribution from DEE soluble products was increased in the 2 h reaction. This implies that EtOAc soluble products like oligomers were converted into low molecular weight products over this period of time. Furthermore, to make sure that there is not a significant effect from a series of degradation reactions, we performed depolymerization reactions by normalizing the reaction time to the mass of catalyst. Details are represented in Fig. S10.† As can be seen from Fig. S10(A) (ESI†), when the reactions were performed for 1 h, with a decrease in CaO loading, an increase in yield was observed. This may be due to pH or a product adsorption effect. Later, reactions were performed with varying catalyst loading and accordingly the reaction time was altered. For example, with 0.5 g CaO catalyst loading, the reaction was performed for 1 h; however, when 0.1 g of CaO was charged in the reactor, the reaction was carried out for 20 min (i.e. 5 times decrease in both catalyst and time). Subsequently, the reaction was carried out with 0.05 g CaO for 10 min. The results (Fig. S10(B), ESI†) show that with a decrease in time, according to the decrease in catalyst loading, a slight improvement in the yields was possible. However, this increase is marginal considering the results obtained at 1 h with Green Chem., 2017, 19, 778–788 | 785 View Article Online Published on 29 November 2016. Downloaded by National Chemical Laboratory, Pune on 13/02/2017 09:00:19. Paper Green Chemistry 0.005 g catalyst (Fig. S10(A), ESI†). This suggests that maintaining the pH at 9.2 along with time is important to achieve better yields. Mostly, lignin depolymerization reactions are carried out in a alcohol : water mixture to achieve better yields due to the solubility of lignin in the solvent system which makes the reaction system homogeneous (when water soluble catalysts are used). Since the alkaline lignin used in this study is completely soluble in water (Table S1, ESI†), the reaction was carried out at 250 °C with NaX as a catalyst for 1 h in only water. However, no product formation was seen in this reaction. This result could not be explained on the basis of a pressure effect as with water as a solvent at 250 °C, a total pressure of 4.0 MPa was observed while when the reaction is carried out with an ethanol : water (1 : 2 v/v) solvent system, 4.2 MPa pressure was monitored yet 51% yield was achieved. So, it can be considered that the presence of ethanol in subcritical conditions is helpful in promoting the reaction. Subsequently, reactions were performed by varying the ratio of ethanol–water (2 : 1, 1 : 1, 1 : 5 v/v) and the maximum yield was observed in 1 : 2 (v/v) solvent system. One of the reasons for reactions to proceed in the presence of ethanol might be due to the formation of sodium ethoxide (reaction between Na+ on the catalyst and ethanol), which can act as a strong base. This scenario is not possible when only water is used in this reaction. The in situ formation of sodium ethoxide could not be confirmed under reaction conditions. Yet, it is expected that when the reaction is completed, Na+ will compensate the negative charge on the zeolites. This is because during the spent catalyst characterization studies no loss of Na+ was observed (for more details, please see section 2.3.9, ESI†). 3.1.6. Catalyst recyclability. In the catalyst recyclability study, NaX was recovered from the reaction mixture by centrifugation and later was washed with ethanol : water (1 : 2 v/v), and used in the next reaction (for details, see section 2.3.8, ESI†). Prior to the catalytic runs, characterization of fresh and spent NaX was done ( please refer to Table 2, Fig. 6 and S12, ESI†). With fresh catalyst, a 51% yield was observed and later in the 1st recycle run, a decrease in yield to 34% was seen. In subsequent recycle runs similar yields were seen (35% in 2nd run, 33% in 3rd run) (Fig. S11, ESI†). Nevertheless, it is interesting to note here that though in recycle runs the total yield was decreased but the formation of DEE soluble products was the same, which actually is important in this reaction. The non-catalytic reaction under similar reaction conditions gave 24% yield which is still less than the recycle runs. Table 2 Catalyst Fig. 6 3.2. TPD-CO2 profile of (a) fresh and (b) spent NaX. Lignin and products characterization In order to establish a correlation between the structure of the starting material (lignin) and the depolymerization products with different functional groups (Table 1), FT-IR analysis of alkaline lignin, DEE and EtOAc soluble products was done. As observed from Fig. 7, alkaline lignin shows a broad peak at 3500–3100 cm−1 due to stretching vibrations of alcoholic and phenolic hydroxyl groups (O–H stretching). The peak observed at 1660 cm−1 was attributed to the presence of CvO Fig. 7 FT-IR spectra of alkaline lignin. TPD-CO2, N2 sorption and ICP-OES analysis of fresh & spent NaX catalyst Nitrogen sorption ICP-OES NaX TPD-CO2 Total basicity (mmol g−1) BET surface area (m2 g−1) Pore size (nm) Pore volume (cm3 g−1) Si/Al ratio actual Si/Al ratio observed Na content (mg g−1) Fresh Spent 0.42 0.41 582 586 1.1 1.1 0.3 0.3 1.2 — 1.2 1.2 17.3 20.5 786 | Green Chem., 2017, 19, 778–788 This journal is © The Royal Society of Chemistry 2017 View Article Online Published on 29 November 2016. Downloaded by National Chemical Laboratory, Pune on 13/02/2017 09:00:19. Green Chemistry stretching in α,β-unsaturated aldehydes or ketones. The peak can also be assigned to the presence of –CvC– in alkanes. In the range of 1500–1585 cm−1, peaks due to aromatic ring vibrations (C–C stretch (in ring)) are expected. The peak at 1362 cm−1 is characteristic of bend/rock vibration in alkanes. In lignin chemistry, this wavelength is also assigned to the syringyl ring breathing mode with C–O stretching. The peaks at 1124 and 1196 cm−1 can be assigned to deformation vibrations of C–H bonds in syringyl rings or else can be typically assigned to the C–O stretch in alcohols or ethers. Again a strong peak appearing at 1024 cm−1 is attributed to the C–O stretch in C–O (alcohol, ether) or the in-plane deformation vibrations of C–H bonds in aromatic rings. The observance of a peak at 799 cm−1 is due to deformation vibrations of C–H (oop) bonds associated to aromatic rings. An observation of the IR spectrum for DEE and EtOAc soluble products (Fig. 8a and b) shows peaks due to C–H deformation at 620–646 cm−1. The presence of aromatic C–H bending was confirmed with the peak at 700–865 cm−1. A careful look indicates that the intensity of peaks at 1022 and 1068 cm−1 due to alkoxy groups has decreased, indicating that the –C–O–C– bonds are breaking during depolymerization. The retention of the peak at 1112/1128 cm−1, though with lower intensity, indicates the presence of vibrations of C–H bonds in the syringyl ring. The intense peak seen at 1276 cm−1 might be due to asymmetrical ether formation (Ar–O–CH3). The peak that appeared at 1363–1378 cm−1 is due to bend/rock vibrations in alkanes. The intensities of the peaks from 1450 to 1600 cm−1 emphasize that the aromaticity is intact in the Paper products. An intense peak that arises at 1716 and 1725 cm−1 can be assigned to α,β-unsaturated aldehydes or ketones in the depolymerized products. The new peak appearing at 2849 and 2855 cm−1 is attributed to the presence of C–H stretching in the aldehyde group. Moreover, another peak at 2927 and 2931 cm−1 can be assigned to C–H stretching in alkanes/alkyl groups. Broad peaks appearing at 3394 and 3359 cm−1 confirm the cleavage of the Ar(C)–O–Ar bond to form the Ar(C)–OH bond. It can be clearly understood that most of the functionalities present in lignin are retained in the products. Moreover, the appearance and increase in the intensities of peaks of –OCH3, –CHO, and –CH3 groups validate that lignin undergoes a depolymerization reaction and gives rise to aromatic monomers which have functional groups as mentioned above. Characterizations of lignin and products were also done with XRD, 1H, 13C NMR, HPLC, LC-MS, microanalysis, EDAX, TGA-DTA, UV visible techniques (Table S8, Fig. S13–S21, ESI†). Conclusion In summary, the depolymerization efficiencies of various solid base catalysts were evaluated and it was revealed that the solid base catalyst NaX is capable of depolymerizing high molecular weight lignin into low molecular weight aromatic products (51% yield) in an ethanol : water (1 : 2 v/v) ratio solvent system. The optimization of reaction conditions and detailed studies on catalyst properties reveal that a pH of 9.2 is optimum to catalyze depolymerization and a catalyst having strong basicity is detrimental in yielding higher quantities of low molecular weight products. Unique product adsorption studies indicate that strong bases have more tendency to adsorb the products. Moreover, it is shown with the help of various analytical tools that most of the functional groups present on lignin are retained in the products, thereby improving the atom efficiency. Acknowledgements The author Richa Chaudhary thanks the University Grant Commission (UGC), India for a Senior Research Fellowship (SRF). References Fig. 8 FT-IR spectra of DEE (a) and EtOAc (b) soluble products. This journal is © The Royal Society of Chemistry 2017 1 A. M. Ruppert, K. Weinberg and R. Palkovits, Angew. Chem., Int. Ed., 2012, 51, 2564–2601. 2 M. R. Sturgeon, M. H. O’Brien, P. N. Ciesielski, R. Katahira, J. S. Kruger, S. C. Chmely, J. Hamlin, K. Lawrence, G. B. Hunsinger, T. D. Foust, R. M. Baldwin, M. J. Biddy and G. T. Beckham, Green Chem., 2014, 16, 824–835. 3 P. L. Dhepe and R. Sahu, Green Chem., 2010, 12, 2153. 4 R. Sahu and P. L. Dhepe, ChemSusChem, 2012, 5, 751–761. 5 B. M. Matsagar and P. L. Dhepe, Catal. Sci. Technol., 2015, 5, 531–539. Green Chem., 2017, 19, 778–788 | 787 View Article Online Published on 29 November 2016. Downloaded by National Chemical Laboratory, Pune on 13/02/2017 09:00:19. Paper 6 A. P. Tathod and P. L. Dhepe, Bioresour. Technol., 2015, 178, 36–44. 7 J. F. Stanzione 3rd, J. M. Sadler, J. J. La Scala and R. P. Wool, ChemSusChem, 2012, 5, 1291–1297. 8 E. Adler, Wood Sci. Technol., 1977, 169–218. 9 F. S. Chakar and A. J. Ragauskas, Ind. Crops Prod., 2004, 20, 131–141. 10 K. L. John Ralph, G. Brunow, F. Lu, H. Kim, F. Paul, J. M. M. Schatz, R. D. Hatfield, S. A. Ralph, J. H. Christensen and W. Boerjan, Phytochem. Rev., 2004, 29–60. 11 J. P. John Ralph, F. Lu, R. D. Hatfield and R. F. Helm, J. Agric. Food Chem., 1999, 2991–2996. 12 A. K. Deepa and P. L. Dhepe, RSC Adv., 2014, 4, 12625. 13 A. K. Deepa and P. L. Dhepe, ACS Catal., 2015, 5, 365–379. 14 R. K. S. a. N. N. Bakhshi’, Energy Fuels, 1992, 306–314. 15 M. M. H. a. R. W. Thring, J. Chem. Eng., 2000, 226–231. 16 J. A. Onwudili and P. T. Williams, Green Chem., 2014, 16, 4740–4748. 17 S. K. Singh and P. L. Dhepe, Green Chem., 2016, 18, 4098– 4108. 18 K. Stark, N. Taccardi, A. Bosmann and P. Wasserscheid, ChemSusChem, 2010, 3, 719–723. 19 N. Yan, C. Zhao, P. J. Dyson, C. Wang, L. T. Liu and Y. Kou, ChemSusChem, 2008, 1, 626–629. 20 W. Xu, S. J. Miller, P. K. Agrawal and C. W. Jones, ChemSusChem, 2012, 5, 667–675. 21 Q. Song, F. Wang, J. Cai, Y. Wang, J. Zhang, W. Yu and J. Xu, Energy Environ. Sci., 2013, 6, 994. 22 S. Van den Bosch, W. Schutyser, R. Vanholme, T. Driessen, S. F. Koelewijn, T. Renders, B. De Meester, W. J. J. Huijgen, W. Dehaen, C. M. Courtin, B. Lagrain, W. Boerjan and B. F. Sels, Energy Environ. Sci., 2015, 8, 1748–1763. 23 Wahyudiono, T. Kanetake, M. Sasaki and M. Goto, Chem. Eng. Technol., 2007, 30, 1113–1122. 24 T. Furusawa, T. Sato, M. Saito, Y. Ishiyama, M. Sato, N. Itoh and N. Suzuki, Appl. Catal., A, 2007, 327, 300–310. 25 V. M. Roberts, V. Stein, T. Reiner, A. Lemonidou, X. Li and J. A. Lercher, Chemistry, 2011, 17, 5939–5948. 26 M. Watanabea, H. Inomata, M. Osadab, T. Satoa, T. Adschiric and K. Araia, Fuels, 2003, 82, 545–552. 27 J. Shabtai, W. Zmierczak, E. Chornet and D. K. Johnson, Am. Chem. Soc., 1999, 267–272. 788 | Green Chem., 2017, 19, 778–788 Green Chemistry 28 A. Toledano, L. Serrano and J. Labidi, J. Chem. Technol. Biotechnol., 2012, 87, 1593–1599. 29 R. Beauchet, F. Monteil-Rivera and J. M. Lavoie, Bioresour. Technol., 2012, 121, 328–334. 30 X. Erdocia, R. Prado, M. Á. Corcuera and J. Labidi, Biomass Bioenergy, 2014, 66, 379–386. 31 L. R. E. James E. Miller, J. E. Mudd and K. A. Brown, Sandia National Laboratories Report, 2002. 32 J. M. Lavoie, W. Bare and M. Bilodeau, Bioresour. Technol., 2011, 102, 4917–4920. 33 J. Long, Y. Xu, T. Wang, Z. Yuan, R. Shu, Q. Zhang and L. Ma, Appl. Energy, 2015, 141, 70–79. 34 A. Toledano, L. Serrano and J. Labidi, Fuel, 2014, 116, 617– 624. 35 K. Barta, G. R. Warner, E. S. Beach and P. T. Anastas, Green Chem., 2014, 16, 191–196. 36 G. S. Macala, T. D. Matson, C. L. Johnson, R. S. Lewis, A. V. Iretskii and P. C. Ford, ChemSusChem, 2009, 2, 215– 217. 37 J. Long, Q. Zhang, T. Wang, X. Zhang, Y. Xu and L. Ma, Bioresour. Technol., 2014, 154, 10–17. 38 J. S. Kruger, N. S. Cleveland, S. Zhang, R. Katahira, B. A. Black, G. M. Chupka, T. Lammens, P. G. Hamilton, M. J. Biddy and G. T. Beckham, ACS Catal., 2016, 6, 1316–1328. 39 Z. Yuan, S. Cheng, M. Leitch and C. C. Xu, Bioresour. Technol., 2010, 101, 9308–9313. 40 http://www.tcichemicals.com/eshop/en/in/commodity/L0082/. 41 U. D. Joshi, P. N. Joshi, S. S. Tamhankar, V. V. Joshi and V. P. Shiralkar, J. Colloid Interface Sci., 2001, 235, 135–143. 42 H.-L. Zubowa, H. Kosslick, D. Müller, M. Richter, L. Wilde and R. Fricke, Microporous Mesoporous Mater., 2008, 109, 542–548. 43 S. D. Bhat, P. S. Niphadkar, T. R. Gaydhankar, S. V. Awate, A. A. Belhekar and P. N. Joshi, Microporous Mesoporous Mater., 2004, 76, 81–89. 44 http://www.zeolyst.com/our-products/standard-zeolite-powders/ zeolite-y.aspx. 45 H. Hattori, Am. Chem. Soc., 1995, 95, 537–558. 46 http://www.lime.org/documents/lime_basics/lime-physicalchemical.pdf. 47 D. E. Gardner and B. Walker, Toxicological risks of selected flame-retardant chemicals, 2000, 99–131. 48 http://periodic-table-of-elements.org/SOLUBILITY. This journal is © The Royal Society of Chemistry 2017 Article pubs.acs.org/EF Cite This: Energy Fuels 2019, 33, 4369−4377 Depolymerization of Lignin Using a Solid Base Catalyst Richa Chaudhary†,‡ and Paresh L. Dhepe*,†,‡ † Catalysis and Inorganic Chemistry Division, National Chemical Laboratory, Dr. Homi Bhabha Road, Pune 411 008, India Academy of Scientific and Innovative Research (AcSIR), New Delhi 110 025, India ‡ Downloaded by NANYANG TECHNOLOGICAL UNIV at 18:32:48:733 on June 02, 2019 from https://pubs.acs.org/doi/10.1021/acs.energyfuels.9b00621. S Supporting Information * ABSTRACT: Lignin extraction from lignocellulosic biomass has attracted considerable attention for an alternative production of sustainable fuels and chemicals. We report the lignin isolation from coconut coir using Klason, organosolv, and soda methods and the depolymerization of isolated lignin to value-added chemicals using a solid base catalyst. The yield of isolated lignin by the Klason method was found to be about 4 to 6 times higher than that by other methods. The structure of isolated Klason lignin (CC-KL), organosolv lignin (CC-ORGL), and soda lignin (CC-SL) was studied using attenuated total reflection (ATR), NMR, microanalysis, and so forth. The monomer molecular formula derived from microanalysis suggested that coir lignin is rich in guaiacyl units. ATR and 13C NMR clearly indicate that CC-ORGL contains more C−C bonds compared to CC-KL and CCSL. Subsequently, these isolated lignins were depolymerized over a solid base catalyst (NaX) under atmospheric pressure. CCSL shows a high yield of aromatic products (28%) compared to CC-ORGL and CC-KL. In order to develop a sustainable future technology, one-pot depolymerization of coconut coir was performed which resulted in a high yield (64%) of aromatic products. 1. INTRODUCTION Cost-effective and efficient conversion of lignocellulosic biomass, mainly carbohydrates and lignin, is fundamental to realizing the full potential of the lignocellulose feedstock. Lignin is especially hard to degrade and represents the major hurdle for the efficient utilization of lignocellulosic biomass. In the biorefinery concept, the foremost footstep is to isolate lignin from lignocellulosic biomass. For the isolation of lignin, different methods are known in the literature, for example, Klason, kraft, soda, lignosulfonate, hydrolysis, ionic liquids, enzymatic, microwave isolation, and so forth.1−10 Out of these known isolation processes, mainly four processes are currently used on industrial scale for isolation of lignin; the sulfite (lignosulfonate), soda, Kraft, and organosolv processes.11 Because coconut is one of the oldest crops grown worldwide and especially in India, where it presently covers ca. 1.5 million hectares of land,12 it can be a potential source of the lignocellulosic material. The approximate quantity of coconut production per annum around the world is 62.4 × 106 tonnes.13 According to the official website of International Year for Natural Fibres 2009, approximately, 500 000 tonnes of coconut fibers (coir) are produced annually worldwide, mainly in India and Sri Lanka.14 Its total value is estimated at $100 million. India and Sri Lanka are the main exporters, followed by Thailand, Vietnam, Philippines, and Indonesia. Around half of the coconut fibers produced are exported in the form of raw fiber.15 Moreover, it is the most readily available material that farmers have access to. Therefore, this abundantly available raw material was chosen as a viable source for lignin isolation and production of value-added chemicals. A typical cross section of the coconut is shown in Figure 1 and as seen, coir is the middle part of the coconut. Coir is a biomass residue which is generated during the extraction of coir fiber from the coconut husk. The available © 2019 American Chemical Society Figure 1. Cross section of the coconut. literature for the chemical composition of coconut coir (CC) is presented in Table 1. As seen from Table 1, the main contents of CC are cellulose, hemicellulose, and lignin. Cellulose and hemicellulose are polysaccharide compounds, while lignin is a macromolecular polyphenolic compound.23 Compared to other lignocellulosic materials (wheat straw, rice husk, bagasse, etc.), wherein lignin content is in the range of 10−-35%, coir contains a higher amount of lignin (20−48%).23−25 Its accumulation on the ground during rainy seasons can pollute the soil and water through leaching of polyphenols which makes the coir pith unfit for the normal landfill practices. Therefore, suitable waste management strategies have to be employed to solve the pollution risks arising due to this particular lignocellulosic biomass. Recent research programs are focusing to convert waste coir pith into useful products such as biomanure,26 biochar,27 and so forth. Thus, the lignocellulosic composition of CC has a huge potential to be explored for its utilization as a substrate for the production of value-added chemicals. Received: March 1, 2019 Revised: April 10, 2019 Published: April 23, 2019 4369 DOI: 10.1021/acs.energyfuels.9b00621 Energy Fuels 2019, 33, 4369−4377 Energy & Fuels Article a Table 1. Chemical Composition of CC water soluble (%) pectin and related compounds (%) 5.25 Nd Nd Nd Nd Nd Nd 3.30 nd nd nd nd nd 3.0 hemicellulose (%) 0.25 31.1 15−28 16.8 0.15−0.25 0.25 cellulose (%) lignin (%) ash (%) refs. 43.44 33.2 35−60 68.9 43.0 36−43 43.44 45.84 20.5 20−48 32.1 45.0 41−45 45.84 2.22 nd nd nd nd nd 5.6 16 17 18 19 20 21 22 a (nd): not determined. Figure 2. Isolation of lignin by Klason, organosolv, and soda processes. 2. EXPERIMENTAL SECTION Looking at the presence of the high lignin content in CC, it was believed that coir can be converted into value-added chemicals, and thus an alternate source of income can be generated for the rural population. Several literature reports suggest that depending upon the isolation procedures used, lignin properties vary.28 In order to avoid the use of complex lignin as a substrate, most of the reports in the literature worked with lignin model compounds and tried to develop systems for its valorization. Moreover, few of the researchers have used real lignin as well as isolated lignins for depolymerization with different catalytic systems such as solid acids, solid bases, ionic liquids, and so forth.28−33 In the present work, the initial phase of the research was to try to understand the lignin content in CC. Further, focus was on the isolation of lignin from CC by three methods, namely, K, organosolv, and soda processes followed by its complete characterization and depolymerization. Depolymerization of isolated lignin was studied at the best optimized reaction condition (250 °C, 1 h) described in our previous work.30,34 Furthermore, possibility of direct utilization of CC as a substrate for the production of value-added chemicals was also studied. 2.1. Chemicals and Materials. CC samples (free of the edible part) were first dried in sunlight for two days and further oven-dried at 55 °C for 16 h. The dried CC was crushed to the powder form and again kept in oven at 55 °C for 16 h followed by vacuum drying at 120 °C for 4 h and stored in an air-tight lid container. Basic zeolite and NaX (Si/Al = 1.2) was synthesized using the known procedure.35 Various aromatic monomers such as guaiacol (99%), 2-methoxy-4methylphenol (98%), pyrocatechol (99%), resorcinol (99%), 2,6dimethoxyphenol (99%), 4-hydroxy benzyl alcohol (99%), diethylterephthalate (99%), 2,4-di-tert-butylphenol (99%), acetoguaiacone (98%), 4-hydroxy-3-methoxybenzyl alcohol (98%), 1,2,4-trimethoxybenzene (97%), vanillin (99%), eugenol (99%), and 3,4-dimethoxyphenol (99%) used for GC calibration were purchased from SigmaAldrich, Alfa Aesar, and TCI chemicals. All the chemicals were used as received. Solvents such as ethanol (99%, Changshu Yangyuan Chemical Co., Ltd, China), diethyl ether (DEE, 99.9%, LOBA Chemie), and ethyl acetate (99.9%, LOBA Chemie) were purchased and used as received. NaOH (98%, Loba Chemie), H2SO4 (98%, Loba Chemie), HCl (37%, Merck), and HF (48%, Merck) were also purchased and used as received. 2.2. Isolation of Lignin from CC. As known, depending upon the isolation methods, the structural and chemical properties of isolated lignin vary. It is well known from the literature that linkages and functional groups present in lignin varies from plant to plant. Because of these reasons, determination of the exact structure, bonding, and functional groups present in lignin is still a big challenge for the 4370 DOI: 10.1021/acs.energyfuels.9b00621 Energy Fuels 2019, 33, 4369−4377 Energy & Fuels Article Figure 3. Methodology for products extraction (* analyzed by GC, GC-MS, and HPLC). 3. RESULTS AND DISCUSSIONS From the isolation studies, it was realized that the CC sample used in this study contains 48% of lignin. 3.1. X-ray Diffraction. To understand the crystalline and amorphous nature of CC and isolated lignin (Klason, organosolv, and soda), X-ray diffraction (XRD) analysis was carried out (Figure 4). In the CC sample, a peak at 21.7° is observed for the crystalline phase of cellulose and 16.7° for the amorphous phase of cellulose. These very low intensity peaks are in contrast to other samples wherein peaks for cellulose have higher intensity because the CC sample contains very high concentration of lignin (48%), and thus concentration of cellulose is very low compared to other lignocellulosic material samples. After the isolation of lignin (Klason, organosolv, and soda) from CC, no peaks are observed for the crystalline and amorphous phase of cellulose. This confirms that isolated samples do not contain cellulose impurities. A broad peak pattern for the isolated samples confirms the amorphous nature of lignin. 3.2. Microanalysis. To derive the monomer molecular formula (MMF) for the samples, elemental analysis (C, H, and O) for CC and isolated lignin was performed (Tables 2 and S2, Supporting Information). It is well known that the composition of polysaccharides and lignin varies as the origin and type of the plant varies. Even for the same species collected from different places, the variation is shown in its composition as it is affected by the type of soil, climate, and so forth. Here, four different coir samples were used, and the results are compared with the isolated lignin samples (Tables 2 and S2, Supporting Information). It was observed that CC has a higher O/C ratio (1.09) compared to isolated lignin (0.46− 0.56). This is very obvious as the oxygen content decreases after the removal of polysaccharides (C5 and C6 sugars) from CC. The higher heating value (HHV) calculated using the Dulongs formula shows that coir has a less HHV (13.4 MJ/kg) compared to isolated lignin (22.3−24.9) because of the researchers. Among various procedures known for the isolation of lignin, in this work, Klason, organosolv, and soda processes for the delignification of CC were employed (for more details on isolation procedures, please refer the Supporting Information). A brief on the isolation methods is illustrated in Figure 2. From the Klason method, 48% of the lignin yield was obtained. Because this procedure is known for the quantification of lignin present in the lignocellulosic biomass, it is estimated that the coir used in this study has 48% lignin content. In order to avoid any experimental error, all the isolation experiments were performed at least three times to check the reproducibility. Based on the lignin present in CC (considering the Klason method), 16 and 20% isolation of lignin was possible using organosolv and soda processes, respectively. 2.3. Catalytic Runs of CC and Isolated Lignin. Prior to the catalytic runs, the best active alkali metal-substituted zeolite catalyst (NaX) explored in our previous work was thoroughly characterized (Table S1, Supporting Information).30 In a typical reaction, the lignin/NaX or coir/NaX mass ratio was maintained at 1:1 (lignin/ NaX molar ratio = 13.3), and the lignin: solvent (EtOH/H2O, 1:2 v/ v) mass ratio was maintained at 1:60. Initially, the reactor was flushed with nitrogen, and the heating of the reactor was started under slow stirring (100 rpm). After attaining the desired reaction temperature (200 °C/250 °C), the stirring rate was increased to 1000 rpm, and this was considered as the starting time of the reaction. After the reaction, the reactor was cooled to room temperature. The catalyst was separated from the reaction mixture by centrifugation and washed thoroughly with EtOH/H2O (1:2 v/v) in order to remove any adsorbed lignin or products on the catalyst. After separation of the catalyst from the reaction mixture, acidification of the liquid layer was carried out with 2 N HCl solution until the pH reached to 2. The acidification process helped precipitate out the high molecular weight products (filter cake). Further, centrifugation and filtration processes were carried out. The liquid and solid fractions were subjected to the extraction process for the isolation of products. Organic solvents DEE and ethyl acetate (EtOAc) were used for product isolation. Further, the organic solvent (DEE and EtOAc) soluble products were analyzed using GC and GC-MS. The methodology for the extraction of products is represented in Figure 3. 4371 DOI: 10.1021/acs.energyfuels.9b00621 Energy Fuels 2019, 33, 4369−4377 Energy & Fuels Article another case, low O/C and high H/C ratios are suitable for using those as fuels. The high HHV and lower O/C ratio of isolated lignin show that it is a good source for the production of fuels and chemicals. Moreover, double-bond equivalence (DBE) of all the samples (coir and isolated lignin) was also calculated, and the data show the DBE between 5.6 and 5.8 for all the lignin samples. This shows a good correlation with the MMF and building blocks of lignin, that is, sinapyl, coniferyl, and coumaryl alcohol. DBE 4 is considered for one benzene ring and one for the exo carbon−carbon double bond. Furthermore, a higher value of DBE for the CC-ORGL sample is observed that reflects the fact that CC-ORGL has a highly condensed more aromatic structure. During organosolv pulping treatment, condensation reactions besides the fragmentation of lignin might also occur which gives rise to new carbon−carbon bonds in ORGL. According to a former study, these carbon−carbon interunit bonds were more easily formed by guaiacyl (G)-type lignin due to the presence of the free C-5 position.36,37 It can be stated that CC-ORGL is rich in the 5−5 biphenyl type of linkages. The MMF was also derived using elemental analysis and based on that, it is suggested that lignin is rich in guaiacyl units which very well matches with the literature.38 3.3. Thermogravimetric Analysis−Differential Thermal Analysis (TGA−DTA). Thermal analysis of CC and isolated lignins was performed under the nitrogen atmosphere upto 1000 °C (Figures S2−S5, Table S3, Supporting Information). It was observed that CC and lignin started losing weight at around 150 °C, may be due to the removal of moisture. Cleavage of α and β-aryl-alkyl-ether linkages was observed in the range of 200−450 °C. Complete decomposition of organic moieties was observed at ∼600 °C. Klason lignin shows ca. 35% of weight loss from 200 to 500 °C. It might be due to the cleavage of the side chain or aryl-alkylether linkages followed by the cleavage of C−C linkages present in lignin structural units. It can be stated from the thermogravimetric analysis−differential thermal analysis (TGA−DTA) of Klason lignin that it contains more number of aryl-alkyl-ether linkages as it takes long time to decompose at ∼200−300 °C. It is well known from the literature that organosolv lignin is rich in carbon−carbon linkages between lignin subunits. It is well matched from the TGA−DTA analysis of organosolv lignin. Similar observation was made for the soda lignin also as it shows weight loss in the range of 200−360 °C for ether linkages and until 400 °C for the cleavage of C−C linkages. A careful observation suggests that Figure 4. (A) XRD patterns of CC and isolated lignin {organosolv (CC-ORGL), soda (CC-SL), and Klason (CC-KL) lignin}, (B) XRD patterns of different samples of CC (CC-1-4). presence of the higher oxygen content and the presence of the polysaccharide in CC. This can be simply understood based on the molecular formula of the polysaccharide (cellulose and hemicellulose) and lignin monomer such as guaiacol. The molecular formula of cellulose (C6 sugar) and hemicellulose (C5 sugars) is C6H12O6 and C5H10O5, respectively. These will give an O/C ratio of 1 which well resembles with the O/C ratio of CC of an approximate molecular formula C7H9−11O6. Coniferyl alcohol, a lignin building block unit, and guaiacol (lignin monomer), having the molecular formulas C10H12O3 and C7H8O2, respectively, show a less oxygen content with a low O/C ratio. Similarly, the H/C ratio was also calculated and observed to be ca. 0.1. The low H/C and O/C ratios are desirable for the use of coir for energy generation, while in Table 2. Microanalysis of CC and Isolated Lignin microanalysis CC CC-ORGL CC-SL CC-KL C (%) H (%) O (%) O/C H/C HHV (MJ/kg)a DBEb MMFc pHd 45.35 4.86 49.79 1.09 0.11 13.4 2.18 C7.6H8.84O6.22 6.4 60.78 5.41 33.81 0.56 0.09 22.3 5.8 C10.1H10.7O4.2 6.3 63.58 6.08 29.34 0.46 0.10 24.8 5.6 C10.6H12.1O3.8 5.9 63.59 6.12 29.39 0.46 0.10 24.9 5.6 C10.6H12.1O3.8 2.95 a Higher heat value = [0.3383 × C + 1.442 × [H − (O/8)] + 9.248 × S], where C, H, O, and S are wt % of carbon, hydrogen, oxygen, and sulfur. DBE = [C − (H/2) + (N/2) + 1] where C, H, and N are number of carbon, hydrogen, and nitrogen atoms found from the MMF. cMMF = 100 − (“C” wt % + “H” wt % + “O” wt %). dpH was measured by dissolving the 0.08 g sample in 5 mL water. b 4372 DOI: 10.1021/acs.energyfuels.9b00621 Energy Fuels 2019, 33, 4369−4377 Energy & Fuels Article for the presence of nonconjugated phenolic compounds, which confirms the presence of hydroxyl groups. Moreover, occurrence of a shoulder band at 230 nm confirms the presence of mono- and disubstituted aromatic rings. 3.5. ATR Spectroscopy. The ATR spectroscopy analysis of coir and isolated lignin (from CC) (Figure 5) confirms the all the lignin samples have DTA peak maxima at different positions. This is because each lignin has different−different linkages with various functional groups (shown in attenuated total reflection (ATR) and 13C NMR). Moreover, molecular weight and degree of polymerization also reflect in TGA−DTA graphs. Klason lignin shows peak maxima at 390 °C, having the highest molecular weight and soda lignin (low molecular weight compared to Klason lignin) shows peak maxima at 375 °C, which indicates the complete cleavage of carbon−carbon linkages present in the lignin structure. However, organosolv lignin has the least molecular weight among them, and it shows the peak maxima at 335 °C, which indicates the splitting of the aliphatic side chains and the C−C bond. It was also observed that in extracted lignin, 22−25% of the unburnt residue is obtained, while in the coir sample, only 6% residue is observed. These studies suggest that carbon in the sample will remain unburnt. This can be explained on the basis of the MMF derived from elemental analysis. Coir has 7.6 “C”, 8.8 “H”, and 6 “O”. Considering this, almost 95% of carbon can possibly burn in the form of CO and CH4. It is possible that 6 “C” will be consumed in the form of 6 CO and another 1.2 carbon can be consumed as 1.2 CH4 molecules. Still, 0.4 “C” is remaining which will remain as the unburnt residue. A quick calculation discloses that this remaining 0.4 “C” out of 7.6 “C” gives rise to ca. 5% of the residue. This percentage of the unburnt residue matches well with the experimental data. Moreover, it is well correlated with the ash analysis which is also 3−4%. Similarly, for isolated lignin, it contains 10 “C”, 11 “H”, and 4 “O”. After the complete use of “H” and “O” present in lignin in the form of 4CO + 3CH4, there will be remaining 3 “C” as the unburnt residue. This will give ca. 30% of the residue. Likewise, the moisture present in the sample can be correlated with the dryness analysis. For example, from dryness analysis (Section 2.1, Supporting Information), it was calculated that coir shows 94.4% dryness in the sample which shows that the remaining is moisture (ca. 6−7%). This result also matches well with the experimental data (8% moisture) obtained from TGA−DTA. Although all the lignins were isolated from same CC, still, slight quantitative variation in the loss of the weight percentage can be derived from TGA data. The decreasing order for the percentage of weight loss of aryl-ether linkages (200−350 °C) was as follows: CC-KL (17%) > CC-SL (18%) > CC-ORGL (20%). The percent weight loss for the cleavage of C−C linkages (350−400 °C) is 10% in CC-ORGL, while it was 8% for both CC-KL and CC-SL. At the temperature range of 400− 600 °C, ca. 20% weight loss was observed for CC-ORGL, while for CC-KL and CC-SL, 18% weight loss was seen. Moreover, different DTA peak positions also confirm the variation in the molecular weight of lignins. Hence, it can be clearly stated that depending upon the selection of the isolation procedure, lignins with different properties can be obtained. 3.4. UV−Visible Analysis. Contribution of color in lignin is identified by using UV−vis spectroscopy. Samples were prepared in EtOH/H2O (1:2 v/v) and were analyzed in the range of λ = 200−800 nm (Section 2.6, Figure S6, Supporting Information). UV−vis spectra show an adsorption band at 280 nm and a shoulder at 230 nm with a gradual decrease in absorption extending toward the visible region, representing the presence of several different chromophores. These bands are common in all the samples which corresponds to π−π* electronic transition in the aromatic ring of unconjugated phenolic units. The peak appearing at 280 nm can be assigned Figure 5. ATR analysis of coir (CC) and isolated lignin (CC-KL, CCORGL, and CC-SL). presence of various functional groups. In the ATR spectrum of the coir absorption band at the region near 1720 cm−1, a carboxyl group of acetyl ester in cellulose and carboxyl aldehyde in lignin is observed.39 Lignin present in the coir gives characteristics peak at 1220, 1608, and 1720 cm−1 for the aromatic skeletal vibrations and CO stretching in ketone, carbonyl, and ester groups. Isolation of lignin reduces hydrogen bonding due to the removal of the hydroxyl groups. This results in the decrease of −OH group concentration, as can be seen from the decreased intensity of the peak between 3650 and 3200 cm−1 compared to the coir. The absorption band present at 2900−2800 cm−1 can be assigned for the asymmetric stretching and symmetric stretching of the C−H bond in methyl and methylene groups. Significant functional groups in the range of 1700−1550 cm−1 are present in all the isolated lignin samples. Peaks in the range of 1600−1400 cm−1 confirm the presence of aromaticity or the benzene ring. Moreover, this band can be assigned for the presence of CC attached to the aromatic rings. The ATR spectrum of isolated lignin clearly indicates the presence of the characteristic band of the C−O stretching of alkoxy groups or the presence of ether linkages in the region of 1300−1000 cm−1. Peaks in the range of 850−820 cm−1 correspond to substituted phenolics and alkene groups. The observance of a peak at 780 cm−1 is due to deformation vibrations of C−H (oop) bonds associated to aromatic rings. All the absorption bands observed are summarized in Table 3. Furthermore, a careful observation at the ATR spectra of isolated lignins shows the variation in the presence and intensities of peaks. CC-ORGL and CC-SL shows the presence of a more intense peak for the CC group attached to aromatic rings at 1600−1400 cm−1 and for C−C stretching in 4373 DOI: 10.1021/acs.energyfuels.9b00621 Energy Fuels 2019, 33, 4369−4377 Energy & Fuels Article Table 3. Summary of ATR Bands Present in Coir (CC) and Isolated Lignin (CC-SL, CC-ORGL, and CC-KL) a wavenumber (cm−1) −1 Band (cm ) CC CC-SL CC-ORGL CC-KL 3650−3200 2960−2910 1740−1680 1670−1620 alcoholic and phenolic O−H stretching (free and involved in hydrogen bonding) C−H asymmetric stretching in the methyl and methylene group CO stretching in unconjugated ketone, carbonyl, and ester groups CO stretching in the conjugated substituted aryl group type of vibration 3298 2916 1720 - 3280 2922 1690 - 3378 2949 1690 - 1615−1595 1520−1505 1470−1440 1370−1350 1300−1200 CO stretching with aromatic skeleton vibrations aromatic skeleton vibrations deformation vibrations of the C−H bond aliphatic C−H stretching in methyl and phenolic OH C−C, C−O, CO stretching in guaiacyl units 1608 1520 1440 1598 1508 1450 1355 1208 1120−1105 1195−1124 1027−1010 875−700 deformation vibrations of C−H bonds in aromatic rings deformation vibrations of C−H bonds in syringyl rings C−O stretching in alcohol, ether/in-plane deformation vibrations of C−H bonds in aromatic rings substitution on the aromatic ring or substituted phenolics 1113 1027 - 1605 1510 1442 1366 1228 1283 1110 1020 804 3386 2889 1706 1677 1645 1518 1290 1200 1105 1172 1010 812 780 1145 1010 873 a (-) Not observed. guaiacyl units at 1300−1200 cm−1. Again, a more intense peak for the deformation vibrations of C−H bonds in aromatic rings was observed in CC-ORGL at 1110 cm−1. A peak at 1690 cm−1 was observed in CC-ORGL and CC-SL for the presence of CO stretching in unconjugated ketone, carbonyl, and ester groups which was not observed in CC-KL. 3.6. Solid-State 13C NMR. 13C NMR characterizations of coir (CC) and isolated lignin were performed which reveals mainly the presence of monolignols and end group distributions. The 13C NMR spectra of coir and isolated lignin (Klason, organosolv and soda lignin) are shown in Figures S7− S10, Supporting Information. Peaks appearing in the range of 160−180 ppm represent the presence of the ester group. The high intense peak as observed in the range of 110−150 ppm which corresponds to the presence of sp2 carbon in aromatics and alkenes confirms the aromatic nature of the samples. The chemical shift for the aromatic regions for all the samples was recorded in the range of 90−140 ppm. The presence of sp3 carbon attached to the oxygen atom is also observed in the range of 55−90 ppm. An intense peak at 55−56 ppm common in all the lignin samples shows the presence of the methoxyl group attached to the aromatic ring. The appearance of methoxy groups in the range of 20−50 ppm was observed in all the samples. Detailed summary for the assigned peaks are tabulated in Table 4. The CC-KL shows the presence of C3 and C4 in the etherified guaiacyl units at 147.13 ppm, while it was not observed in CC-ORGL and CC-SL. Moreover, the intensity of the peak at 130.85 ppm for C2,6 in p-hydroxyphenyl units is more in CC-ORGL. A comparatively more intense peak for the presence of C3,5 in p-hydroxyphenyl units is observed in CCORGL at 116.12 ppm, while the presence of C2 in the guaiacyl unit is only present in CC-SL at 111.11 ppm. The presence of C2,6 in tricin was observed in CC-ORGL and CC-SL at 106.82 ppm and 106.65 ppm, respectively, while C8 tricin is present in CC-KL and CC-SL at 92.52 and 92.51 ppm, respectively. Similarly, Cβ in β-O-4 substructures was observed in CCORGL and CC-SL at 82.28 and 84.76 ppm, respectively, while Cγ in β-O-4 substructures is present in CC-ORGL at 67.06 ppm. Among all lignins, a highest intense peak at 56.05 ppm was observed in CC-KL for the presence of the large amount Table 4. Summary on 13C NMR of CC and Isolated Lignin (CC-KL, CC-ORGL, CC-SL)a chemical shift (ppm) functional group CC CC-KL CC-ORGL CC-SL CO group in Hibbert’s ketone C4 in the p-hydroxyphenyl unit C in β-O-4 substructures linked with CO C3 and C4 in the etherified guaiacyl unit C2,6 in p-hydroxyphenyl units C3,5 in p-hydroxyphenyl units C2 in guaiacyl units C2,6 in tricin C8 in tricin Cβ in β-O-4 substructures Cα in β-O-4 substructures 175.53 177.91 175.04 175.87 177.98 - - 160.14 173.39 161.95 174.82 - 155.55 151.89 153.20 152.37 - 147.13 - 116.22 105.47 99.18 93.49 89.04 83.66 74.74 72.60 64.48 55.44 - 115.61 92.52 89.28 72.97 130.85 116.12 106.82 100.86 82.28 72.41 129.19 115.94 111.11 106.65 92.51 88.31 84.76 73.35 56.05 46.64 43.47 67.06 63.14 55.88 48.93 42.86 65.18 56.10 49.75 46.52 42.92 43.47 36.87 - 36.23 39.59 36.50 32.69 30.48 21.17 - 32.90 30.15 23.62 14.58 29.71 23.18 14.08 30.31 19.15 14.91 Cγ in β-O-4 substructures C−H in the methoxyl group α carbon CH2 with the aliphatic substituted group α carbon in the phenyl propanol group −CH2 alkyl group terminal −CH3 group a 4374 - (-) not assigned. DOI: 10.1021/acs.energyfuels.9b00621 Energy Fuels 2019, 33, 4369−4377 Energy & Fuels Article 30 studies. A careful look at the GC-MS chromatographs of the organic solvent soluble products reveals that DEE contains higher concentration of low molecular weight products than EtOAc. This might be because the products were extracted consecutively in DEE and EtOAc. However, the weight of products extracted in EtOAc is higher than in DEE. A similar phenomenon was also observed in our previous work.30 Further, it was assumed that the variation in the properties of lignin yields different types of products, for example, in the case of CC-ORGL, it was expected to observe a higher C−C type of products or dimeric/trimeric products because the C− C bond is difficult to break under this reaction condition. Looking at the GC-MS chromatographs of products, it is clear that under this reaction condition, ether bonds break. More to this, the catalytic results (product yields and products formed) also show that the reaction is governed as per the molecular weight of lignin which is explained above in this section. The identified products are tabulated in Table S4, Supporting Information. As it is always preferable to use abundant and inexpensive lignocellulose material (CC) directly for the synthesis of valueadded aromatic chemicals in order to develop a sustainable future technology, here, we have also used it as a substrate. Hydrolysis of CC was also carried out using NaX as a catalyst, and it was compared with noncatalytic reaction (Figure 6B). When reactions were carried out at 200 °C for 1 h, it was observed that direct hydrolysis of CC shows a good product yield of 64% compared to noncatalytic reaction (27%). The product yield was calculated by considering 0.5 g of the substrate charged. CC contains 48% of lignin; however, under this reaction condition, we observed a peak for HMF from GCMS and small peaks for glucose and oligomers from HPLC. Hence, the yield was calculated by considering the weight of products obtained after the reaction/substrate charged. Further, the formation of aromatic products was confirmed by using GC, GC-MS, and HPLC techniques. The GC-MS chromatogram of the products confirms the formation of aromatic products (Figure S16, Supporting Information). The quantification of aromatic products was carried out by procured standard compounds, and product distribution is given based on total detected products from GC-MS and HPLC (Table S5, Supporting Information). Cellulose and hemicellulose are also present in CC; therefore, in order to check the formation of any sugar products, HPLC analysis was also performed, and very low intensity peaks for glucose and HMF were observed and quantified (Figure S17, Table S5, Supporting Information). A meticulous look to the formation of more aromatic products (mostly lignin depolymerized products) in the case of coir can be understood as lignin present in CC: the catalyst wt/wt ratio is almost double (0.24 g lignin present in coir). Hence, the product yield increases. Further the variation observed in CC and isolated lignin products is possible due to the presence of cellulose and hemicellulose in coir. of methoxyl groups attached to the aromatic rings. It was clearly understood from ATR and 13C NMR that CC-ORGL contains more C−C bonds compared to CC-KL and CC-SL which correlates well with the literature also. Moreover, although same coir is used for the isolation of lignin using different isolation procedures, different structures of lignins are observed. Further on the basis of 13C NMR, analysis peaks were correlated to the structures present in isolated lignin samples (Figure S11, Supporting Information). 3.7. Depolymerization of Isolated Lignin Using a Solid Base Catalyst (NaX). Depolymerization studies were carried out for isolated Klason lignin (CC-KL), organosolv lignin (CC-ORGL), soda lignin (CC-SL), and CC using NaX as the basic catalyst.30 All the reactions were conducted in a batch mode autoclave (Parr, USA). EtOH/H2O (1:2 v/v) was used as the solvent system in all the reactions. After the reaction, the extraction of products from the reaction mixture was carried out as shown in Figure 3. When reactions with different lignins were carried out at 250 °C for 1 h, variation in the depolymerization product yield was observed from 5 to 28% (Figure 6A). It is known from the literature that the order Figure 6. (A) Depolymerization of isolated lignin and coir using NaX. Reaction conditions: lignin/coir (0.5 g), NaX (0.5 g), EtOH/H2O (1:2 v/v, 30 mL), 250 °C, 1 h, (B) direct hydrolysis of CC using NaX. Reaction conditions: coir (0.5 g), NaX (0.5 g), EtOH/H2O (1:2 v/v) 30 mL, 200 °C, 1 h. of the molecular weight (Da) of isolated lignin is in the following order: Klason lignin (CC-KL) > soda lignin (CCSL) > organosolv lignin (CC-ORGL).40,41 As seen from Figure 6, CC-KL showed the lowest depolymerization product yield mostly due to higher molecular weight.41 Although, in the case of CC-ORGL and CC-SL, lower molecular weight of lignin is present but still not much improvement in the yield was seen. The probable reason for the lower yield is that CC-ORGL is known to have more C−C linkages compared to C−O−C linkages (as proven by TGA, ATR, and NMR studies), and very few C−C linkages can be broken at milder reaction conditions and thus it may give a lower yield. It can be seen from the ATR spectra of CC-ORGL and CC-SL, and a more intense peak at 1600−1400 cm−1 was observed which belongs to CC groups attached to aromatic groups and 1300−1200 cm−1 for C−C stretching in guaiacyl units. Moreover, 13C NMR also validates this fact as the intensity of the peak at 150−110 ppm for the presence of sp2 carbon is more in CCORGL compared to CC-SL. Considering this, it was obvious to see the maximum depolymerization product yield (28%) with the CC-SL sample. Further, the formation of aromatic products was confirmed using GC-MS (Figures S12−S15, Supporting Information). Products formed with isolated lignin samples were observed similar with commercial lignin ■ ASSOCIATED CONTENT S Supporting Information * The Supporting Information is available free of charge on the ACS Publications website at DOI: 10.1021/acs.energyfuels.9b00621. Isolation of lignin from CC by the Klason method, organosolv method, and soda method; characterization 4375 DOI: 10.1021/acs.energyfuels.9b00621 Energy Fuels 2019, 33, 4369−4377 Energy & Fuels Article (7) Zakzeski, J.; Bruijnincx, P. C. A.; Jongerius, A. L.; Weckhuysen, B. M. The catalytic valorization of lignin for the production of renewable chemicals. Chem. Rev. 2010, 110, 3552−3599. (8) Weckhuysen, L.; Budarin, V.; Fan, J.; Sloan, R.; Macquarrie, D. Efficient method of lignin isolation using microwave-assisted acidolysis and characterization of the residual lignin. ACS Sustainable Chem. Eng. 2017, 5, 3768−3774. (9) Zhou, M.; Xu, J.; Jiang, J.; Sharma, B. A Review of Microwave Assisted Liquefaction of Lignin in Hydrogen Donor Solvents: Effect of Solvents and Catalysts. Energies 2018, 11, 2877. (10) Avelino, F.; Silva, K. T. d.; de Souza Filho, M. d. S. M.; Mazzetto, S. E.; Lomonaco, D. Microwave-assisted organosolv extraction of coconut shell lignin by Brønsted and Lewis acids catalysts. J. Cleaner Prod. 2018, 189, 785−796. (11) Strassberger, Z.; Tanase, S.; Rothenberg, G. The pros and cons of lignin valorisation in an integrated biorefinery. RSC Adv. 2014, 4, 25310−25318. (12) NIIR Board of Consultants & Engineers. The Complete Book on Coconut & Coconut Products (Cultivation and Processing) Asia Pacific; Business Press Inc, 2004. (13) Food and Agriculture Organization of the United Nations: Statistical Division (FAOSTAT). 2013. Retrieved Oct 17, 2015. (14) http://naturalfibres2009.org/en/fibres/coir.html (accessed 29/ 03/2018). (15) http://www.naturalfibres2009.org/en/fibres/coir.html (accessed 29/03/2018). (16) Coir Board, Ministry of MSME, Government of India, http:// coirboard.gov.in/?page_id=62 (accessed 29/03/2018). (17) Ramakrishna, G.; Sundararajan, T. Studies on the durability of natural fibres and the effect of corroded fibres on the strength of mortar. Cem. Concr. Compos. 2005, 27, 575−582. (18) Agopyan, V.; Savastano, H., Jr; John, V. M.; Cincotto, M. A. Developments on vegetable fibre-cement based materials in Sao Paulo, Brazil: An overview. Cem. Concr. Compos. 2005, 27, 527−536. (19) Asasutjarit, C.; Hirunlabh, J.; Khedari, J.; Charoenvai, S.; Zeghmati, B.; Shin, U. C. Development of coconut coir-based lightweight cement board. Constr. Build. Mater. 2007, 21, 277−288. (20) Satyanarayana, K. G.; Sukumaran, K.; Mukherjee, P. S.; Pavithran, C.; Pillai, S. G. K. Natural fibre-polymer composites. Cem. Concr. Compos. 1990, 12, 117−136. (21) Corradini, E.; De Morais, L. C.; Rosa, M. d. F.; Mazzetto, L. H. C.; Agnelli, J. A. M. A preliminary study for the use of natural fibers as reinforcement in starch-gluten-glycerol matrix. Macromol. Symp. 2006, 245−246, 558−564. (22) Shukla, S. R.; Roshan, S. P. Comparison of Pb(II) Uptake by Coir and Dye Loaded Coir Fibers in a Fixed Bed Column. J. Hazard. Mater. 2005, 125, 147−153. (23) Muensri, P.; Kunanopparat, T.; Menut, P.; Siriwattanayotin, S. Effect of lignin removal on the properties of coconut coir fiber/wheat gluten composite. Composites 2011, 42, 173−179. (24) Waifielate, A. A.; Abiola, B. O. Mechanical property evaluation of coconut fibre. Master’s Degree Thesis, Department of Mechanical Engineering, Blekinge Institute of Technology, Sweden, 2008. (25) Khalil, H. S. A.; Alwani, M. S.; Omar, A. K. M. Chemical composition, anatomy, lignin distribution, and cell wall structure of Malaysian plant waste fibers. BioResources 2007, 1, 220−232. (26) Sebastian, S. P.; Udayasoorian, C.; Jayabalakrishnan, R. M.; Parameswari, E. Effect of amendments and varieties on sugarcane yield and quality with poor quality irrigation water. J. Environ. Res. Dev. 2009, 3, 817−829. (27) Bright Singh, I. S.; Rojith, G. Lignin recovery, Biochar Production and Decolourisation of Coir pith Black Liquor. Res. J. Recent Sci. 2012, 1, 270−274. (28) Singh, S. K.; Dhepe, P. L. Isolation of lignin by organosolv process from different varieties of rice husk: understanding their physical and chemical properties. Bioresour. Technol. 2016, 221, 310− 317. of CC and isolated lignins via dryness analysis, analysis of ash, XRD analysis, elemental analysis, thermogravimetric analysis-differential thermal analysis (TGA− DTA), ultraviolet−visible (UV−vis) spectroscopy, ATR spectroscopy, and solid-state 13C NMR; analysis of the reaction mixture by gas chromatography (GCFID), gas chromatography mass spectrometry (GC-MS) and high-performance liquid chromatography (HPLC) (PDF) ■ AUTHOR INFORMATION Corresponding Author *E-mail: pl.dhepe@ncl.res.in. Phone: +91-20 2590-2024. Fax: +91-20 2590-2633. ORCID Richa Chaudhary: 0000-0002-9960-5266 Paresh L. Dhepe: 0000-0001-6111-8916 Author Contributions All the authors contributed equally to this work. All authors discussed the results and implications and commented on the manuscript at all stages. Notes The authors declare no competing financial interest. ■ ACKNOWLEDGMENTS R.C. thanks the University Grants Commission (UGC), India, for Research Fellowship. ■ ABBREVIATIONS GC-FID = gas chromatography-flame ionization detector GC-MS = gas chromatography mass spectrometry HPLC = high-performance liquid chromatography ATR = attenuated total reflection spectroscopy NMR = nuclear magnetic resonance spectroscopy TGA−DTA = thermogravimetric analysis−differential thermal analysis XRD = X-ray diffraction UV−vis = ultraviolet−visible ■ REFERENCES (1) Chakar, F. S.; Ragauskas, A. J. Review of current and future softwood kraft lignin process chemistry. Ind. Crops Prod. 2004, 2, 131−141. (2) Long, J.; Li, X.; Guo, B.; Wang, J.; Yu, Y.; Wang, L. Simultaneous delignification and selective catalytic transformation of agricultural lignocellulose in cooperative ionic liquid pairs. Green Chem. 2012, 7, 1935−1941. (3) Zhang, J.; Deng, H.; Lu, L.; Sun, Y.; Pan, C.; Liu, S. Isolation and characterization of wheat straw lignin with a formic acid process. Bioresour. Technol. 2010, 7, 2311−2316. (4) Perez-Pimienta, J. A.; Lopez-Ortega, M. G.; Varanasi, P.; Stavila, V.; Cheng, G.; Singh, S.; Simmons, B. A.; Simmons, B. A. Comparison of the impact of ionic liquid pretreatment on recalcitrance of agave bagasse and switchgrass. Bioresour. Technol. 2013, 127, 18−24. (5) Bharadwaj, R.; Wong, A.; Knierim, B.; Singh, S.; Holmes, B. M.; Auer, M.; Simmons, B. A.; Adams, P. D.; Singh, A. K. Highthroughput enzymatic hydrolysis of lignocellulosic biomass via in-situ regeneration. Bioresour. Technol. 2011, 102, 1329−1337. (6) Watkins, D.; Nuruddin, M.; Hosur, M.; Tcherbi-Narteh, A.; Jeelani, S. Extraction and characterization of lignin from different biomass resources. J. Mater. Res. Technol. 2015, 1, 26−32. 4376 DOI: 10.1021/acs.energyfuels.9b00621 Energy Fuels 2019, 33, 4369−4377 Energy & Fuels Article (29) Deepa, A. K.; Dhepe, P. L. Lignin Depolymerization into Aromatic Monomers over Solid Acid Catalysts. ACS Catal. 2015, 5, 365−379. (30) Chaudhary, R.; Dhepe, P. L. Solid base catalyzed depolymerization of lignin into low molecular weight products. Green Chem. 2017, 19, 778−788. (31) Singh, S. K.; Dhepe, P. L. Ionic liquids catalyzed lignin liquefaction: mechanistic studies using TPO-MS, FT-IR, RAMAN and 1D, 2D-HSQC/NOSEY NMR. Green Chem. 2016, 18, 4098− 4108. (32) Sturgeon, M. R.; O’Brien, M. H.; Ciesielski, P. N.; Katahira, R.; Kruger, J. S.; Chmely, S. C.; Hamlin, J.; Lawrence, K.; Hunsinger, G. B.; Foust, T. D.; Baldwin, R. M.; Biddy, M. J.; Beckham, G. T. Lignin depolymerisation by nickel supported layered-double hydroxide catalysts. Green Chem. 2014, 16, 824−835. (33) Singh, S. K.; Dhepe, P. L. Effect of structural properties of organosolv lignins isolated from different rice husks on their liquefaction using acidic ionic liquids. Clean Technol. Environ. Policy 2017, 20, 739−750. (34) Dhepe, P. L.; Richa, K. An improved heterogeneous base catalyzed process for depolymerization of lignin. India Patent 201611007650, 2016. (35) Joshi, U. D.; Joshi, P. N.; Tamhankar, S. S.; Joshi, V. V.; Shiralkar, V. P. Adsorption Behavior of N(2), Water, C(6) Hydrocarbons, and Bulkier Benzene Derivative (TMB) on NaX Zeolite and Its K(+)-, Rb(+)-, and Cs(+)-Exchanged Analogues. J. Colloid Interface Sci. 2001, 235, 135−143. (36) del Río, J. C.; Gutiérrez, A.; Rodríguez, I. M.; Ibarra, D.; Martinez, A. T. Composition of non-woody plant lignins and cinnamic acids by Py-GC/MS, Py/TMAH and FT-IR. J. Anal. Appl. Pyrolysis 2007, 79, 39−46. (37) Guerra, A.; Elissetche, J. P.; Norambuena, M.; Freer, J.; Valenzuela, S.; Rodríguez, J.; Balocchi, C. Influence of lignin structural features on Eucalyptus globulus kraft pulping. Ind. Eng. Chem. Res. 2008, 47, 8542−8549. (38) Rencoret, J.; Ralph, J.; Marques, G.; Gutiérrez, A.; Martínez, A. T.; del Río, J. C. Structural characterization of lignin isolated from coconut (Cocos nucifera) coir fibers. J. Agric. Food Chem. 2013, 61, 2434−2445. (39) Ismail, H.; Edyham, M. R.; Wirjosentono, B. Bamboo Fiber Filled Natural Rubber Composites: the Effects of Filler Loading and Bonding Agent. Polym. Test. 2002, 21, 139−144. (40) Vishtal, A. G.; Kraslawski, A. Challenges in industrial applications of technical lignins. BioResources 2011, 3, 3547−3568. (41) Koshijima, T.; Watanabe, T. Association between Lignin and Carbohydrates in Wood and Other Plant Tissues; Springer Science & Business Media, 2013; pp 131−140. 4377 DOI: 10.1021/acs.energyfuels.9b00621 Energy Fuels 2019, 33, 4369−4377 Magnetic Nanoparticles: Synthesis, Functionalization, and Applications Varun Chaudhary School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore; Interdisciplinary Graduate School, Nanyang Technological University, Singapore 639798, Singapore Richa Chaudhary Catalysis and Inorganic Chemistry Division, National Chemical Laboratory, Pune 411008, India; Academic of Science and Innovative Research, New Delhi 110020, India CONTENTS 1. Introduction 2. Synthesis of Magnetic Nanoparticles 3. Particle Size and Shape Effect on the Magnetic Properties 4. Functionalization and Surface Coating of Magnetic Nanoparticles 5. Applications 6. Summary References 1. INTRODUCTION Magnetic nanoparticles (MNPs) are of high interest because of their multidisciplinary applications, including biomedicine [1–8], magnetic fluids [9, 10], catalysis [11, 12], magnetic resonance imaging [13–16], data storage [17, 18], thermal management [9, 10, 19–23], magneto-resistance sensors [24], spintronics [25], environmental remediation and water treatment [26–28]. Magnetic nanoparticles can be found almost everywhere, even inside us. The human brain contains over 108 MNPs of iron oxide per gram of tissue [29]. Ferritin, an iron storage protein which contains magnetic nanoparticles, is present in almost every living cell. In principle, every material shows a response to an applied magnetic field. On the base of their response to ISBN: x-xxxxx-xxx-x/$xx.00 Copyright © xxxx by American Scientific Publishers All rights of reproduction in any form reserved. the magnetic field, they can be distinguished into (a) ferromagnetic, (b) paramagnetic, (c) diamagnetic, (d) antiferromagnetic, and (e) ferrimagnetic. Antiferromagnetic and ferrimagnetic materials come under the broad category of ferromagnetic materials. Ferromagnetic (therefore, antiferromagnetic and ferrimagnetic materials) materials show a strong attraction to a permanent magnet. However, paramagnetic and diamagnetic materials show week attraction and repulsion, respectively, under an applied magnetic field. The magnetic susceptibility (!m " is generally used to describe the category of magnetic materials. For diamagnetic materials, the !m is negative and temperature independent. Paramagnetic materials exhibit positive !m , which decreases with increasing temperature. For example, typical values of !m for diamagnetic copper and paramagnetic aluminium at room temperature are −0#96 × 10−5 and 2#07 × 10−5 , respectively. The !m for ferromagnetic materials are very high compared to those of para- and diamagnetic materials, reaching up to 106 . Ferromagnetic materials show permanent magnetic moments even in the absence of an external field. Figure 1 shows the schematic of the field dependence on magnetization for ferromagnetic, paramagnetic, and diamagnetic materials. The magnetic properties depend on the exchange coupling forces between adjacent atoms and the distance between them. It is expected that temperature, which is directly related to materials entropy, has a vital role in determining the magnetic properties. When temperature increases, the arrangement of atomic spin become randomized, i.e., the system entropy increases, yielding a decrease in saturation magnetization (MS ". The critical temperature Encyclopedia of Nanoscience and Nanotechnology Edited by H. S. Nalwa Volume xx: Pages (1–31) 2 Magnetic Nanoparticles: Synthesis, Functionalization, and Applications Figure 1. The magnetization (M! response with applied magnetic field (H ! in ferromagnetic, paramagnetic, and diamagnetic materials. where MS becomes zero is known as the Curie temperature (TC ! where the state of the material becomes paramagnetic. The TC of iron, cobalt and nickel is 770 ! C, 1121 ! C and 358 ! C, respectively [30]. 2. SYNTHESIS OF MAGNETIC NANOPARTICLES Magnetic nanostructures with special properties are an exciting area in science and technology. The nanoparticles of specific size and shape are essential since the magnetic characteristics such as coercivity, blocking temperature, etc. depend on size and shape [31]. Shape and size control, and therefore the anisotropic magnetic structures, are vital for most applications. The change in reaction temperature, time, gas flow, and precursors to the solvent ratio and amount of stabilizing ligands can affect the final characteristics and therefore the size, shape, and size distribution of the nanoparticles. Hence, the optimum reaction parameters are vital for the required product. The ratio of the surface area to the volume of the particle increases as the particle size decreases. Nanoparticles exhibit very high surface energy especially if particle size is less than 10 nm. The surface of each particle allows an additional product of its chemical modification, which affect the nanomaterial properties significantly. Especially, for magnetic nanoparticles, this modified surface possesses different magnetic characteristics than those of the particle core [32]. Many types of nanoparticles with different sizes and shape are now being synthesized via several physical and chemical methods and can be characterized using various techniques such as with atomic force microscopy, scanning tunneling microscopy, X-ray diffraction, transition electron microscopy, etc. The synthesis of these magnetic nanostructures can be achieved either by bottom-up or top-down methods, similar to the fabrication of other kind of nanoparticles. When the nanostructure is created from small building blocks, it is called a bottom-up approach. Moreover, if the nanostructure is created by cutting a bigger piece, it is called a topdown approach. The top-down method has been explored for several decades in the nanostructuring process but is reaching its limits. The bottom-up approach, a self-assembly or self-organization method, has great potential for creating nanostructures. There are a number of methods for synthesizing the MNPs, including high-energy ball milling, microemulsion, co-precipitation, micelles, polyols, mechanochemical, etc. [2, 9, 15, 19, 21, 22, 33–63]. All these methods have their own advantages and limitations. In the highenergy ball-milling technique, one has to use two or more bulk metals in the required ratio for a particular time to obtain a fine powder. However, there are some problems with the ball-milling technique, the particle size distribution is comparatively broader than those that are chemically synthesized. Mechanically synthesized nanoparticles have a large hysteresis loss (area enclosed by the ascending and descending branches of the magnetization curve) because of mechanical strain during sample preparation. Chemical methods allow the formation of nanoparticles with a narrower particle size distribution. In the chemical method, we usually start from metal precursors and dissolve them in a solvent. Magnetic nanoparticles of the oxides can be easily synthesized using different chemical methods. Additionally, chemical methods are not suitable for the preparation of ternary or quaternary alloy nanoparticles due to the different potential energy of the starting precursors. High-energy Table 1. Summary of synthesis methods used for magnetic nanoparticles [12, 64]. Method Co-precipitation Thermal decomposition Micro-emulsion Hydro- and solvothermal Polyol and sol–gel Biosynthesis Electrochemical Aerogel vapour Sonochemical High energy ball milling Process and reaction condition Reaction temperature ( ! C) Reaction time Size distribution Shape control Yield Very simple, ambient Complicated, insert atmosphere Complicated, ambient Simple, high pressure 20–150 100–350 20–80 150–220 Minutes Hours to days Hours Hours to days Relatively narrow Very narrow Narrow Very narrow Not good Very good Good Very good High High Low High Complicated, ambient Complicated, ambient Complicated, ambient Complicated, insert atmosphere Very simple ambient Very simple 25–200 Room temperature Room temperature More than 100 20–50 – Hours Hours to days Hours to days Minutes to hours Minutes Hours to days Narrow Broad Medium Relatively narrow Narrow Broad Good Bad Medium Medium Bad Bad Medium Low Medium High Medium High Magnetic Nanoparticles: Synthesis, Functionalization, and Applications ball milling is appropriate for these ternary or quaternary alloy nanoparticles [19, 21]. Magnetic nanoparticles can be divided into transition or rare earth metals (e.g., Fe, Ni, Co, Gd etc.), alloy nanoparticles (e.g., Fe–Co, Fe–Ni, Fe–Ni–Mn, Fe–Pt, etc.) and oxide of metals (Fe3 O4 , Fe2 CoO4 , Fe2 Mnx Zn1−x Fe4 , etc.). Fe, Ni, and Co are the most useful magnetic materials that have ferromagnetic properties at room temperature and paramagnetic at higher temperature. However, nanoparticles of these elements have not been fully studied because of their active surface in nanoscale. There are several studies on synthesis and magnetic properties of Fe, Ni, and Co nanoparticles available in the literature [65–67]. In the next sections, we will discuss the synthesis and magnetic properties of Fe–Co, Fe–Ni and oxide nanoparticles. 2.1. Fe–Co Nanoparticles The Fe–Co binary alloys have been extensively studied because of their advantageous soft magnetic properties, e.g., highest levels of saturation magnetization, high permeability, low magnetocrystalline anisotropy, high Curie temperature, and their catalytic activities [68, 69]. These alloys in bulk form are attractive for elevated temperature applications e.g., turbine engine components, transformers, and magnetic bearings. In last decade, FeCo nanoparticles have been a subject of research for their exceptional physical, chemical, and magnetic properties that differ from their counter bulk materials. The novel properties are due to small particle size, high surface-to-volume ratio, morphology, and surface coating of nanoparticles [60,70]. FeCo nanoparticles are an important soft material; however to synthesize monodisperse particles is a big challenge because they are sensitive to oxidation and therefore chemically unstable. Chaubey et al., [60] synthesized monodisperse FeCo nanoparticles by reductive decomposition of metal acetylacetonates in oleylamine and 1,2-hexadecanodol under a hydrogen plus argon atmosphere at 300 " C. They have investigated the effect of particle size and composition on magnetization and proposed that the saturation magnetization (MS ! is 207 emu/g for 20 nm particles while for 10 nm 3 it is only 129 emu/g. Figure 2 shows TEM image and the change in magnetic properties with particles size for Fe–Co nanoparticles. The maximum MS for FeCo (with a Fe/Co molar ratio of 1.5) was approximately equal to the bulk value. In addition, for the same particle size, the MS depends on the reaction temperature; decreasing the reaction temperature from 300 " C to 290 " C for 20 nm particles results in decrease of the magnetization from 207 to 171 emu/g [60]. FeCo nanoparticles in the range of 5–10 nm size having high MS were synthesized using a modified chemical reduction method [71]. Monodisperse FeCo nanoparticles exhibited saturation magnetization of 220 emu/g. The magnetization was found to be dependent on the temperature at which the reducing agent was introduced. FeCo MNPs were synthesized by a surfactant-free hydrothermal method [72]. The particle size was controlled by reaction time and temperature. The MS and maximum coercivity (HC ! were found to be ∼148.2 emu/g and ∼411.0 Oe at room temperature, respectively. A quaternary microemulsion system was used to synthesize size-controlled FeCo nanoparticles [73]. The effects of process parameters such as the water-to-surfactant molar ratio and molar concentration of metal salts on the particle size were explored. Poudyal et al., prepared monodisperse air-stable FeCo nanoparticles with average sizes of 8, 12, and 20 nm by a novel synthetic method [74]. First they synthesized different sizes of CoFe2 O4 nanoparticles by a chemical solution method. The as-synthesized CoFe2 O4 nanoparticles were then mixed with NaCl powder and heated to 400–500 " C under argon plus hydrogen gas atmosphere. Monodisperse FeCo nanoparticles were recovered by dissolving the NaCl in water and subsequent wash by ethanol and acetone. FeCo nanoparticles retained the same size of the starting CoFe2 O4 nanoparticles, and therefore the size of the FeCo nanoparticles can be well tuned by controlling the size of the CoFe2 O4 nanoparticles. The MS of FeCo nanoparticles increased with increasing the particle size. FeCo alloy nanoparticles with several Fe to Co ratios were synthesized using a modified polyol process [75]. Fe-rich particles had a cubic shape with a mean particle size of 100 nm, while Co-rich particles had a spherical shape. A maximum MS of 212 emu/g was recorded Figure 2. (A) TEM bright field image of FeCo nanoparticles with an average particle size of 20 nm, and (B) the variation of magnetization of FeCo nanoparticles with particle size and molar ratio of Fe and Co (inset). Reprinted with permission from [60], G. S. Chaubey, et al., J. Amer. Chem. Soc. 129, 7214 (2007). © 2007, American Chemical Society. 4 Magnetic Nanoparticles: Synthesis, Functionalization, and Applications for both Fe60 Co40 and Fe75 Co25 MNPs. In a different study, Fe100−x Cox nanoparticles with an average particle size of ∼30 nm were also synthesized using a modified polyol process [76]. The shape of Fe100−x Cox nanoparticles, which was confirmed by transmission electron microscopy, was found to be cubic and hexagonal for Fe57 Co43 and Fe34 Co66 , respectively. The magnetic moment of Fe57 Co43 nanoparticles (21.5 kG) was more than that of the magnetic moment of Fe34 Co66 nanoparticles (18 kG). Both samples exhibited the coercivity in the range of 150–165 Oe. 2.2. Fe–Ni Nanoparticles Fe–Ni MNPs exhibit magnetization comparable to the bulk and can be prepared by many techniques while their coercivity values become higher than their bulk value [59, 61]. Fe0!635Ni0!365 MNPs were prepared by the electrical explosion of wire [77]. Increase of the energy injected into the wire led to an increase of the specific surface of the nanoparticles from 4.6 to 13.5 m2 /g. The fabricated MNPs were spherical and weakly aggregated with an average diameter in the range of 54–160 nm depending on the specific surface. The phase composition of FeNi MNPs contained of two solid solutions of Ni: "-phase (5–10 wt%) and #-phase (90–95 wt%). The obtained high values of the MS are in accordance with phase composition and average diameters of the MNPs. Comparative analysis of structure, and magnetic and microwave properties showed that the obtained MNPs are important magnetic materials with high MS and significant zero-field microwave absorption. Another composition, Fe45 Ni55 MNPs with average diameter of 69.5 nm were also synthesized by electrical explosion of wire [78, 79]. FeNi MNPs/copolymer were prepared and interaction between the MNPs and polymeric matrix was studied. The MS for bared MNPs and MNPs in composite was found to be 125 emu/g and 120 emu/g, respectively. XPS analysis of the samples was conducted by varying the electron exit angle with respect to the surface [79]. The main phase was the FeNi (fcc) core while the barrier layer was NiFe2 O4 (spinel) with a thickness of 2–6 nm [79]. Structural and magnetic properties of thermal plasma synthesized Fe100−x Nix (x = 25$ 33$ 50$ 67, and 75) MNPs were investigated [80]. High-temperature gas phase nucleation and growth environment inside thermal plasma reactor facilitate stabilization of the disordered #-FeNi (fcc) phase for x = 33$ 50$ 67, and 75. However, for composition x = 25, ∼8% of the disordered bcc phase along with ∼92% fcc phase was obtained. The average crystallite size (in the range of 30–40 nm) as well as particle size distribution was almost the same for all the composition. The MS for these nanoparticles were close to that for their corresponding bulk. Room temperature Mössbauer spectroscopic data revealed that the alloy nanoparticles contain two different sites for Fe corresponding to high moment/low moment states. The average magnetic moments/f.u. were found to be matched with the values for bulk Fe1−x Nix alloys. The highest ordered magnetic moment was found to be 1.4 %B /f.u. for Fe50 Ni50 nanoparticles. Table 2 summarizes how magnetic properties of FeCo and FeNi nanomaterials change with chemical synthesis method and composition. 2.3. Iron Oxide-Based Nanoparticles Out of eight iron oxides, hematite ("-Fe2 O3 &, magnetite (Fe3 O4 &, and maghemite (#-Fe2 O3 & are promising candidates due to their polymorphism involving temperatureinduced phase transition [12, 64]. These three iron oxides have unique biochemical, magnetic, and catalytic properties. Hematite is widely used in pigments, catalysts, and gas sensors due to its low cost and its high corrosion resistance behavior. In general, hematite can be used as a starting material for the synthesis of magnetite and maghamite. Hematite crystallizes in the rhombohedral lattice system (R3c) with two thirds of the octahedral sites occupied by Fe3+ . Magnetite has a face-centered cubic (Fd3m) spinel structure based on 32 O2− , and both divalent and trivalent iron with stoichiometric ratio of half (FeII /FeIII = 1/2). Divalent irons (FeII & can be partially or fully replaced by other divalent ions, e.g., Mn, Zn, Co, etc. Maghemite is a cubic structure with 32 O2− , 21-1/3 Fe3+ , and 21/3 vacancies. Maghemite can be synthesized by the oxidation of magnetite. CoFe2 O4 has an inverse spinal structure; the relative distribution of the Co2+ and Fe3+ cations in the tetrahedral and octahedral sites depends on the production method and heat treatment process [82, 83]. The magnetic moments of cations in the A (tetrahedral coordination of four O2− ions) sites and B (octahedral coordination of six O2− ions) sites are aligned antiparallel with respect to one another, resulting in a ferromagnetic ordering. The quantity of Co2+ in B-sites of the sample, synthesized by the sol–gel method was less than that of the synthesis by the ball-milling method. CoFe2 O4 prepared by ball milling exhibited smaller saturation magnetization than that synthesized by the sol–gel method. On the other hand, the coercivity for the ball-milled sample was larger. The magnetic moments of the slowly cooled and the quenched CoFe2 O4 were 3.4 and 3.9 %B /fu, respectively [83]. Co-precipitation is the most conventional method for obtaining oxide MNPs [64]. This method consists of the mixing of ferric and ferrous ions in basic solutions. The size and shape of the MNPs can be controlled by the salt (e.g., chlorides, sulfates, nitrates, etc.) used in the reaction, the ferric and ferrous ions ratio, the reaction temperature, the pH value, ionic strength of the media, stirring rate, and dropping speed of the basic solution. Suspensions of Fe3 O4 MNPs in an aqueous solution without surfactant were studied [84]. The Fe3 O4 nanoparticles were oxidized to #-Fe2 O3 by direct aeration of the suspension at ∼100 # C. The nanoparticles were nearly spherical with an average diameter of ∼10 nm and narrow size distribution. However, the synthesis by the co-precipitation method resulted in a wide particle size distribution of MNPs, which can result in non-ideal magnetic behavior (e.g., a wide range of blocking temperature) for many applications. Figure 3 shows the schematic representations of the synthesis of Fe3 O4 MNPs by co-precipitation, reverse microemulsion, and thermal decomposition [85]. Highly crystalline Fe3 O4 nanoparticles were synthesized by a one-step hydrothermal process without using surfactants [86]. Ferrous chloride (FeCl2 & and diamine hydrate (H4 N2 H2 O) were used as starting materials. The Fe3 O4 MNPs with average particle size of 40 nm possessed a MS of 85.8 emu g−1 , lower than that of the MS (92 emu g−1 & of corresponding bulk. The well-crystallized Fe3 O4 grains formed 5 Magnetic Nanoparticles: Synthesis, Functionalization, and Applications Table 2. Change in magnetic properties with synthesis method and composition of materials. Magnetic properties Method MNPs and size Ms (emu/g) Hc (Oe) Comment Ref. 231.46 214 800 32.5 – – [33] [34] – [35] – [36] – – [37] [38] – [39] – [40] – [41] Co-precipitation Chemical solution mixing and hydrogen reduction Wet chemistry Fe71 Co29 16.26–20.00 nm Fe-50wt%-Co ∼50 nm Chemical vapor condensation Polyol Polyol 42.08 for 12 nm 271.3 for 12 nm 83.58 for 14 nm 991.2 for 14 nm 133.3 for 18 nm 811.2 for 18 nm 238 30 Fe40 Co60 10–40 nm Fex Co1−x /Coy Rez Fe3−y−z O4 , 86 for Re = none Re = none, La, Nd, Gd, 76 for Re = La ∼230–270 nm 82 for Re = Nd 63 for Re = Gd Fe, Fe–Co, Al(III) 179 for Fe 450 for Fe protected Fe–Co 217 for Fe–Co 650 for Fe–Co 131 for Fe–Co–Al 1070 for Fe–Co–Al Fe–Co and Fe–Cr Higher Hc for Fe–Co then Fe–Cr nanocluster wire, Diameters∼10–30 nm Fe–Co, surround by 111.6, 144.5 after 43, 70 after thermal graphite shell of 1.2 to thermal treatment treatment 2 nm thickness, 8 nm Fe–Co 35–200 nm – – Fe–Co – – Polyol Fe–Co 50–300 nm Polyol FeCo 50–300 nm – – Wet-chemical Fe60 Co40 15 nm – – Chemical reduction FeCo 10 and 20 nm Polyol Fe 10–150 nm Wet chemistry Fe1−x Nix , x = 0!25" 0!50" 0!75 12–15 nm Wet chemical Fex Ni1−x " x = 0.15, 0.20, 0.22, 0.25, 0.30, 0.50 and 0.65 ∼10 nm for x = 0.50 to ∼20 nm for x = 0.15 Adsorption and reduction processes Fex Coy Ni100−x−y (x = 21, 24, 33, 37, 46 and y = 60, 46, 48, 48, 35), 11.9–17.7 nm increase with Fe content Sonochemical synthesis Solvothermal synthesis Thermal reduction Thermal decomposition Thermal decomposition Fe–Co attached with carbon nanotubes 13–25 nm Fe–Co-35wt% 12–18 nm 110 for 13 nm, 250 for 25 nm 225 for Fe70 Co30 207 for 20 nm and 129 for 10 nm 210 for 150 nm 90 for 10 nm 120.76 for x = 0!25 39.34 for x = 0!50 47.64 for x = 0!75 530 for 13 nm 525 for 25 nm – Fe rich FeCo is cubical while Co rich alloys are nearly spherical Shape change from spherical to cubic when concentration of Fe increased from 40 to 60 at%, Ms decrease upto 20% because of oxidization within 7 days Size change by variation of metal ion concentration A carbon shell was surrounded on each annealed particle – – 436.7 for x = 0!25 267.0 for x = 0!50 261.4 for x = 0!75 – – 114.7–132.0 693.8–618.2 [42] [47] [48] [50] [51] [60] Size change by varying the molar concentration of Pt nuclei The coercivity decreases with increasing Ni concentration and with decreasing the size, the magnetization change with Ni For x = 0.15–0.50 two fcc phases but for x = 0.65 the system condensed into a mixture of the FCC and BCC phases The Hc of Fex Coy Ni100−x−y alloy nanoparticles attached on CNTs decreases and Ms increases with increasing Fe content [52] [53] [54] [55] 6 Magnetic Nanoparticles: Synthesis, Functionalization, and Applications Table 2. Continued. Magnetic properties Method MNPs and size Ms (emu/g) Hc (Oe) Comment Ref. Particle sizes of the produced Fe–Ni particles can be controlled by the change of the concentration of an initial solution Monodisperse and soluble in water TC =82 " C for Fe70 Ni30 Addition of 1 wt% Mn to Fe75 Ni25 reduced the TC to 78 " C Particle size, crystallite size, and crystal phases varied with the type of polyol The magnetization of the nanoparticles was much lower than that of the bulk material The sphere size can be tuned from 70 to 25 nm in diameter by changing the concentrations of metal ions [56] Ultrasonic spray pyrolysis Fe–Ni ∼28 by XRD ∼50 by TEM – – High temperature pyrolysis Fe–Ni 9 nm 40 – Chemical reduction Fe90 Ni10 to Fe70 Ni30 80 for Fe70 Ni30 , 100 for Fe80 Ni20 117 for Fe88 Ni12 Polyol Fe20 Ni80 19 nm 14.8 nm 73 emu/g and 83 emu/g, Reverse micelle technique Fe0!2 Ni0!8 4–12 nm Solution phase reduction Fe–Ni 70 nm 25 nm 98 for 25 99 for 70 246 for 25 143 for 70 Organometallic route Fe–Ni 69 for Fe25 Ni75 89 for Fe35 Ni65 191 for Fe25 Ni75 103 for Fe35 Ni65 – 41 and 123 12 – [15] [81] [61] [57] [58] [59] Figure 3. Synthesis of iron oxide nanoparticles by (a) co-precipitation, (b) reverse microemulsion, and (c) thermal decomposition. Reprinted with permission from [85], J. Gautier, et al., Nanotechnology 24, 432002 (2013). © 2013, IOP Publishing. Magnetic Nanoparticles: Synthesis, Functionalization, and Applications under appropriate hydrothermal conditions were responsible for the increased MS in Fe3 O4 MNPs. Moreover, Zheng et al. reported a hydrothermal route for preparing Fe3 O4 MNPs with an average particle size of 27 nm in the presence of a surfactant, sodium bis(2-ethylhexyl) sulfosuccinate (AOT) [87]. Highly crystalline magnetite nanoparticles with an average particle size of 39 nm, a good monodispersity, and relatively enhanced magnetic properties were prepared by the co-precipitation of ferrous Fe2+ and ferric Fe3+ ions by (N(CH3 !4 OH), followed by a hydrothermal at 250 ! C [88]. Iron oxide nanoparticles with average particle sizes in the range 4–28 nm were prepared by thermal decomposition of an iron precursor in high-boiling solvents [89]. The MS was found to increase by increasing the size of the nanoparticle [89, 90]. MFe2 O4 (M = Mn, Fe, Co, Ni, and Zn) MNPs was synthesized by a technique in which a long-chain amine was used as a reducing and surfacefunctionalizing agent [91]. The particle sizes were tuned by the manipulation of the amine to precursor molar ratio and by seed-mediated growth. Figure 4 shows the TEM images of MnFe2 O4 nanoparticles with average size of 2, 3, 4, 6, 9, 12, and 16 nm, and selected area diffraction pattern (SAED) for Fe3 O4 nanoparticles. The MS of the MNPs was changed by the composition and nanoparticle size from 27 emu/g (ZnFe2 O4 with particle size of 4 nm) to 86 emu/g (MnFe2 O4 with particle size of 16 nm). The MS of MFe2 O4 MNPs was maximum for M = Mn, while minimum for M = Zn. An increment in MS with increasing the particle size was also observed (Fig. 5). The decomposition of Fe(cup)3 (cup = N -nitrosophenylhydroxylamine), Fe(acac)3 (acac = acetylacetonate), or Fe(CO)5 followed by oxidation can lead to high-quality monodispersed iron oxide MNPs [64, 92]. However, high 7 temperatures and complicated operation are required in thermal decomposition method. Monodisperse Fe3 O4 MNPs were synthesized by high-temperature solution-phase reaction of Fe(acac)3 in phenyl ether with alcohol, oleic acid, and oleylamine [92]. Seed-mediated growth was used to control particle size from 3 to 20 nm. The as-synthesized Fe3 O4 nanoparticle assemblies can be transformed easily into either "-Fe2 O3 or #-Fe nanoparticle assemblies by changing the annealing conditions. Recently, the leaf extract of Cynometra ramiflora was used to synthesize iron oxide nanoparticles [93]. The addition of iron sulfate to the leaf extract results in the formation of iron oxide nanoparticles. Crystal structure and shape of the MNPs were confirmed by XRD and SEM, respectively. The catalytic activity of these nanoparticles as Fenton-like catalyst was examined for the degradation of Rhodamine-B dye. Magnetic core–shell hybrid nanoparticles with magnetic poly lactide-co-glycolide nanoparticle (core), surface modified with folate-chitosan conjugate (shell) were studied for anti-cancer therapeutic and magnetic resonance imaging (MRI) contrast agents [16]. The folate-chitosan conjugate was prepared using carbodiimide crosslinking chemistry at an optimized folate to amine (chitosan) molar ratio for the coating on poly lactide-co-glycolide nanoparticles loaded with docetaxel and well-packed superparamagnetic iron oxide nanoparticles. The biocompatible hybrid nanoparticles provide receptor-targeted docetaxel and iron oxide nanoparticles delivery for anti-cancer therapy and MRI, respectively. Enhancement in nanoparticle uptake by folate receptor positive oral cancer cells caused a significant increase in docetaxel-mediated cytotoxicity. However, polymeric encapsulation and folate-chitosan coating negatively affects the magnetic property of iron oxide nanoparticles; their aggregation in the core shortened the overall relaxation time Figure 4. TEM images of MnFe2 O4 MNPs of (a) 2 nm, (b) 3 nm, (c) 4 nm, (d) 6 nm, (e) 9 nm, (f) 12 nm, (g) 16 nm, and (h) SAED pattern of Fe3 O4 nanoparticles. The corresponding inset shows the histogram of average particle size distribution. Reprinted with permission from [91], J. Mohapatra, et al., Cryst. Eng. Comm. 15, 524 (2013). © 2013, Royal Society of Chemistry. 8 Magnetic Nanoparticles: Synthesis, Functionalization, and Applications Figure 5. Field-dependent magnetization loop of (a) MFe2 O4 nanoparticles for M = Mn, Fe, Co, Ni and Co, (b) MnFe2 O4 for particle sizes varying from 2 nm to 16 nm. Reprinted with permission from [91], J. Mohapatra, et al., Cryst. Eng. Comm. 15, 524 (2013). © 2013, Royal Society of Chemistry. thereby enhancing the nanoparticle relaxivity to provide better in vitro MR imaging. Iron oxide nanoparticles and the anticancer drug, Methotrexate, were encapsulated into polycaprolactone–polyethylene glycol (PCL–PEG) nanoparticles for local treatment [94]. The drug encapsulation efficiency achieved for Fe3 O4 MNPs modified with PCL–PEG copolymer was 92.36%. Magnetic interaction of the Fe3 O4 nanoparticles grown on zeolite was studied [94]. The average particle size of Fe3 O4 can be controlled by zeolite content. The average hyperfine field of Fe at octahedral and tetrahedral sites vary with the size of nanoparticle. With the increase of zeolite from 0 to 100 mg, the saturation magnetization decreases from 63 to 53 emu/g. The nanoparticles in the pores of zeolite are connected with the surface particles in low zeolite content and get isolated as the amount of zeolite increases. Egg-shaped MNPs with a core–shell morphology were synthesized by thermal decomposition [95]. Oxidation of FeO to Fe3 O4 was found to be the mechanism for the shell formation. As-made nanoparticles exhibited high values of exchange bias at 2 K. Oxidation led to a decrease of the exchange field from 2880 Oe to 330 Oe. At temperatures higher than the Néel temperature of FeO (200 K) there was no exchange bias. An interesting observation was made showing the exchange field to be higher than the coercive field at temperatures close to magnetite’s Verwey transition. 3. PARTICLE SIZE AND SHAPE EFFECT ON THE MAGNETIC PROPERTIES Magnetic properties can be altered if at least one dimension of the specimen is in the nanometer range [96]. Size-specific magnetic properties, for example, superparamagnetism, remanence enhancement and exchange averaging of anisotropy are usual, when the small dimensions become comparable to a magnetic domain scale. The transition from superparamagnetic to single-domain to multi-domain for MNPs depends on the size and/or geometry of the particles. The influence of particle radius (r) on the magnetic properties can be expressed by ! 6kB T (1) r= 3 KU where kB , T and KU are the Boltzmann constant, temperature, and anisotropy constant, respectively. Saturation magnetization varies with particle size until it reaches a threshold size, which is close to MS of the bulk value. A model is presented to describe the magnetic properties of nanomaterials as a function of particle size [97]. The model is applied to the decay rate of the magnetic after the effect in nanomagnets and the variation of spontaneous magnetization versus temperature. However, the results showed a deviation from the behavior of bulk media above a critical temperature. A modified Presiach-Arrhenius (MPA) model has recently been presented, which predicts time reliability of magnetization state in MNPs based on quasiequilibrium thermodynamics [98–100.] This model allows the derivation of an analytical formula for the time variation of the magnetization based on a Gaussian distribution. The role of the surfactant and reducing agent on the shape, size, and magnetic properties of iron oxide nanoparticles was studied [101]. The pseudospherical and faceted particles (4–20 nm) with a Ms of 80 to 85 emu/g at 5 K was obtained when using oleic acid as a surfactant. On the other hand, decanoic acid results in larger pseudocubic particles of 45 nm and a larger Ms of 92 emu/g at 5 K, close to the expected value for bulk magnetite. The use of reducing agents 1,2-hexadecanediol and hydrazine results in uniform and nonuniform oxidation of the nanoparticles, respectively. The size and shape of MNPs can be changed by introducing the different reducing agent e.g., 1,2-hexadecanediol, hydrazine, fecanoic acid, etc. [101, 102]. Figure 6 shows the TEM images of MNPs that have a cube and spherical shape and corresponding magnetic properties [103]. The field-dependent magnetization measurements showed that the cube has a higher Ms of 165 emu/g (Fe + Zn) than that of the sphere of 145 emu/g (Fe + Zn). The cubic iron oxide MNPs exhibited a higher degree of crystallinity than their spherical counterparts [104]. FePt nanoparticles with the shape of an octapod, cuboctahedron, and nanocube were prepared from cuboctahedral seeds [105]. The formations of FePt nanostructures were attributed to the differences in the growth rate between the 111 and 100 planes of cuboctahedral seeds. The order of volume, V!cube" > V!octapod" > V!cuboctahedron" revealed the order of Ms , Ms !cube" > Ms !octapod" > Ms !cuboctahedron" . Larumbe et al. Magnetic Nanoparticles: Synthesis, Functionalization, and Applications 9 Figure 6. (a) TEM images of (a) cube (18 nm), (b) sphere nanoparticle (22 nm), (c) cube exhibiting lattice fringes of 100, and (d) M–H curves of cube and sphere measured at 300 K. Ms of cube is 165 emu/g (Fe + Zn), and that of sphere is 145 emu/g (Fe + Zn). Simulated magnetic spin states of (e) cube and (f) sphere. The color map indicates the degree of spin canting against external magnetic field where red indicates nondeviated spins and blue indicates highly canted spins. Local spin states on the surfaces of nanoparticles are depicted on the right corners of parts (e) and (f). Reprinted with permission from [103], S.-H. Noh, et al., Nano Lett. 12, 3716 (2012). © 2012, American Chemical Society. studied the effect of Ni doping on the structural and magnetic properties of Fe3 O4 MNPs [106]. The oxidation of the Ni atoms to the 2+ state and the Ni2+ cations in the Fe2+ octahedral sites was observed. The estimated magnetic moment confirmed the partial substitution of the Fe2+ cations by Ni2+ atoms in the octahedral sites of the spinel structure. The properties of ferrite-based MNPs are highly sensitive to the cation distribution, which can be controlled by reaction parameters and substitution of different metals. Gopal et al. prepared Ni0!8−x Zn0!2 Mgx Fe2 O4 ferrites with x = 0.0–0.8 using the egg-white method [107]. Magnetic properties measured at room temperature revealed a decrease in Ms up to Mg content of 0.6. The unexpected increase in the Ms at Mg content of 0.8 was attributed to the tendency of Mg2+ ions to occupy the tetrahedral site. The decrease in the value of coercivity with increasing magnesium content can be explained based on the magneto-crystalline anisotropy. Different magnetic properties (MS and HC " of concave cubic-and octahedron-shaped Fe63 Ni37 nanoparticles were observed for these FeNi alloy nanoparticles, which were correlated with surface anisotropy and existence of two-phases (Fig. 7) [108]. We have summarized the dependence of MS and HC on size and shape of the nanoparticles in Table 3. The surface and interface effects become more important when particle size decreases, e.g., cobalt nanoparticle with a diameter of ∼1.6 nm exhibits 60% of the total number of spins on the surface [12, 114]. Therefore, the surface spins play an important role in the resulting magnetic properties of MNPs. The broken symmetry on the surface forces changes in the lattice constant and atom coordination. Under these conditions, surface atoms experience large 10 Magnetic Nanoparticles: Synthesis, Functionalization, and Applications Figure 7. SEM images of (a) concave cube (CC) and (b) cuboctahedron (COh) nanoparticles with their corresponding higher magnification images and schematic diagrams. (c) Hysteresis loops for both CC and COh nanoparticles, with an expanded view, (b) zero-field cooled (dashed lines) and field-cooled (solid lines) magnetization curves with an applied magnetic field of 100 Oe. Reprinted with permission from [108], N. Moghimi, et al., Journal of Materials Chemistry C 2, 6370 (2014). © 2014, Royal Society of Chemistry. anisotropy, and core–surface exchange anisotropy can also occur. Large anisotropy on the surface due to the broken symmetry of their surrounding is called Neel surface anisotropy [21, 115]. With decreasing particle size, the magnetic anisotropy (Keff ! exceeds the value obtained from the crystalline and shape anisotropy, which is expected from the change in surface anisotropy. The anisotropy energy of a spherical particle (Keff ! can be defined as the sum of the contribution from the bulk (core) and from the surface: Keff = KV + #6/d!KS . Where KV , KS , and d are bulk anisotropy, surface anisotropy and particle diameter, respectively. Hence, the Keff can be changed by modifying the surface of the nanoparticles [116]. Table 3. The dependence of magnetic properties on the size, shape and composition of MNPs. MNPs Fe3 O4 Fe3 O4 CoFe2 O4 MnFe2 O4 Zn0"4 Fe2"6 O4 CoFe2 O4 Particle size (nm) 4.2 7.4 8.1 17 45 4.9 6.3 8.6 Magnetic properties Shape Pseudospherical Pseudospherical Pseudocubic Ms (emu/g) HC (Oe) Comment Ref. 75 70 65 82 92 60.4 64.8 58 318 270 70 364 340 – The particles size and shape were tuned by changing the reducing agents in the reaction. The magnetic measurement was done at 5 K [101] [109] – NaOH, alkanolamines isopropanolamine (MIPA) and diisopropanolamine (DIPA) were used as co-precipitation agents. The magnetic properties were performed at 300 K NaOH, MIPA and DIPA were used as co-precipitation agents. The magnetic properties were performed at 300 K NaOH, MIPA and DIPA were used as co-precipitation agents. The magnetic properties were performed at 300 K Ms is measured in emu/g (Mn+Zn). The magnetic measurement was done at 300 K. Volume of sphere = volume of cube Combining nonhydrolytic reaction with seed-mediated growth results in a high-quality and monodisperse spinel cobalt ferrite, Ms and Hc were measured at 5 K. Volume of sphere = volume of cube 4.2 4.8 18.6 9.3 11.7 59.5 22 18 Sphere Cube 30.6 46 48.8 57.1 54.6 35.2 145 165 10 8 Sphere Cube 80 80 – −60 16000 9500 [109] [109] [103] [110] 11 Magnetic Nanoparticles: Synthesis, Functionalization, and Applications Table 3. Continued. MNPs Fe3 O4 Fe3 O4 !-Fe2 O3 FePt Fe3 O4 Ni0$04 Fe2$96 O4 Ni0$06 Fe2$94 O4 Ni0$11 Fe2$89 O4 Ni0$8 Zn0$2 Fe2 O4 Ni0$6 Zn0$2 Mg0$2 Fe2 O4 Ni0$4 Zn0$2 Mg0$4 Fe2 O4 Ni0$2 Zn0$2 Mg0$6 Fe2 O4 Zn0$2 Mg0$8 Fe2 O4 Fe3 O4 MnFe2 O4 CoFe2 O4 NiFe2 O4 CoFe2 O4 /ball milled CoFe2 O4 /Sol gel Particle size (nm) 8.5 8 12 12 (side) 12 (width) 12 (width) 14.5 12 11.8 12 (dia) 6.8 (dia) 8 8 10 8 36 41 45 35 59 12 12 12 12 Magnetic properties Shape Ms (emu/g) Sphere Cube Sphere Cube Rod Octahedron Sphere Cube Cube Octapod Cuboctahedron Sphere Sphere Sphere Sphere Sphere 200 200 HC (Oe) 31 40 80 40 18 80 75 75 2.5 2.0 0.1 0 0 0 0 ∼55 0 300 330 164 1461 11 80.1 84.2 80.5 82.8 43.1 41.7 41.0 30.4 36.1 101 110 99 85 153 180 250 190 65.8 57.0 35.0 17.4 11.9 80.9 83.1 1750 500 The competition between both magnetic orders—surface and core—defines the ground state of the particle, which can differ from a single domain with the perfect magnetic ordering corresponding to the bulk material. High-field irreversibility, high saturation fields, extra anisotropy contributions, and shifted loops after field cooling processes have been observed and attributed to the core-to-surface coupling [114]. 4. FUNCTIONALIZATION AND SURFACE COATING OF MAGNETIC NANOPARTICLES The functionalization of nanoparticles is important for applications in catalysis, bio-labeling, and bioseparation. Particularly in liquid-phase catalytic reactions, such small and magnetically separable particles are useful as quasihomogeneous systems with the advantages of high dispersion, high reactivity, and easy separation [12]. Without a surface coating, iron oxide MNPs have hydrophobic surfaces with a large surface-area-to-volume ratio. Surface coating of the MNPs is required for chemical and physical stability. Figure 8 shows the schematic representation of the stabilization of MNPs by the surface coating of encapsulations. Comment Ref. Ms and Hc were measured at 293 K. Volume of sphere = volume of cube Ms and Hc were measured at 300 K [104] Ms and Hc were measured at 10 K, Volume of sphere = volume of cube. The change in Hc was explained by their shape differences. Ms and Hc were measured at 5 K. V"cube# > V"octapod# > V"cuboctahedron# The composition was changed by changing the precursors ratio. Magnetic properties were measured at 300 K Magnetic properties were measured at 300 K. [112] The magnetic susceptibility gradually decreased as M2+ changed from Fe2+ to Co2+ to Ni2+ : magnetic spin magnitude changed from ∼4 %B to 3 %B to 2 %B In CoFe2 O4 , less Co2+ ions in the B-sites results in smaller anisotropy. The larger Hc values of ball milled samples are due to the higher of Co2+ ions in B-sites [113] [111] [105] [106] [107] [82] The hydrophobic interactions between the nanoparticles results in particle agglomeration. These agglomerated particles behave as clusters and exhibit strong magnetic dipole–dipole attractions between them, resulting in a ferromagnetic interaction. When two large particle clusters approach one another, each of them comes into the magnetic field of the neighbor. Therefore, the adherence of remnant MNPs results in a mutual magnetization, resulting in increased aggregation properties. A surface coating of MNPs is required to protect the agglomeration of nanoparticles and provide functional groups for the conjugation of surrounding materials such as drugs, targeting ligands, proteins, and DNA sequences [64, 118, 119]. For these coating functions, a diverse group of materials have been investigated including inorganic materials (e.g., gold, silica, etc.) and organic materials (e.g., dextran, chitosan, poly-ethylene glycol, etc.) [120]. The functionalization and surface coating of MNPs affects the magnetic properties. The unit of Ms is usually emu/g and therefore, a non-magnetic coating on the surface will necessarily reduce the Ms value. If the coating is magnetic, the interface coupling between the two different types of ordering (e.g., ferromagnetic and ferrimagnetic) can result in a change in anisotropy and a shifting in the hysteresis loop. The shift of the hysteresis loop is known as “exchange bias.” The impact of various types of coatings on the magnetic 12 Magnetic Nanoparticles: Synthesis, Functionalization, and Applications Figure 8. Schematic representation of the stabilization of MNPs by surface coating with (a) inorganic materials, (b) organic materials (c) encapsulation into nanospheres (d) nanocapsules. Reprinted with permission from [117], L. H. Reddy, et al., Chem. Rev. 112, 5818 (2012). © 2012, American Chemical Society. Figure 9. (a) Schematic diagram showing the steps for synthesizing Fe3 O4 core and SiO2 –NH2 shell (Fe3 O4 @SiO2 -NH2 !. (b) TEM image of a bare Fe3 O4 nanoparticle. (c) Evaluation of particle size and distribution by dynamic light scattering. (d) Magnetization properties of the Fe3 O4 , Fe3 O4 @SiO2 , and Fe3 O4 @SiO2 –NH2 (MCSNP) particles. Reprinted with permission from [123], A. K. Chaurasia, et al., Scientific Reports 6, 33662 (2016). © 2016, Nature Publishing Group. Magnetic Nanoparticles: Synthesis, Functionalization, and Applications properties of functionalized MNPs will be discussed in the following section. Patsula et al. studied the magnetic properties of differently sized poly ethylene glycol-coated iron oxide MNPs synthesized by thermal decomposition and sucrose-coated MNPs synthesized by co-precipitation in terms of their potential application for hyperthermia [121]. Šulek et al. fabricated functionalized silica shell MNPs for the covalent attachment of cholesterol oxidase [122]. The surface engineering of !-Fe2 O3 MNPs was performed by the proper deposition of silica onto the nanoparticle surface under strictly regulated reaction conditions. Further, the surface functionalization of silica-coated MNPs was performed by coating the particles with organosilane followed by glutaraldehyde activation. The average size of uncoated !-Fe2 O3 MNPs was found to be around 20 nm in diameter. Recently, Chaurasia et al. proposed the exposure of multiple drug resistant bacteria (MDRB) trapped by magnetic core shell nanoparticles (MCSNPs) to a radio-frequency (RF) current as an alternative to the usage of chemical antibiotics against bacteria [123]. MCSNPs used in this study consisted of an Fe3 O4 core and SiO2 –NH2 shell (Fe3 O4 @SiO2 –NH2 " described in the schematic diagram (Fig. 9(a)). Figures 9(b), (c) show TEM images of a bare Fe3 O4 nanoparticle, and evaluation of particle size and distribution by dynamic light scattering, respectively. Saturation magnetization of the Fe3 O4 core alone, Fe3 O4 core with silica coating (Fe3 O4 @SiO2 ", and amine functionalized Fe3 O4 @SiO2 –NH2 (MCSNP) particles were found to be 55.0, 40.9, and 38.8 emu/g, respectively (Fig. 9(d)). The bacteria can be effectively trapped using MCSNP, and their biofilm formation can be efficiently inhibited 13 by MCSNPs. Furthermore, it was shown that MCSNPtrapped bacteria can be entirely eliminated within 30 min when treated with MCSNPs under an RF current using capacitive electric transfer (CET) devices. MCSNP-based physical treatment can be an alternative antibacterial strategy and can be used for environmental and therapeutic applications. Yang et al. synthesized urchin-like Fe3 O4 @ SiO2 @ZnO/CdS core–shell microspheres, in which the multiple functional components were integrated into a single microcomposite [124]. A magnetic metal-organic framework composite was prepared by a novel and green strategy. The nano Fe3 O4 @SiO2 core was first coated by a shell of Cu(OH)2 as the self-template, followed by a conversion of Cu(OH)2 into HKUST-1 in a water-ethanol mixture solvent, and Fe3 O4 @SiO2 @HKUST-1 core–shell nanostructures were obtained [125]. HKUST-1 is a copper-based MOF with unsaturated metal sites and good stability. A Bi-Ifunctionalized-magnetic HKUST-1 composite was prepared through a flexible coordination-based post-synthetic strategy. The synthesis process for Fe3 O4 @SiO2 @ZnO/CdS core–shell microspheres and bi-I-functionalized magnetic HKUST-1 nanocomposites are illustrated in Figure 10. The core–shell morphology was confirmed by TEM and the result of thermogravimetric analysis showed that the magnetic composites had excellent thermal stability. FESEM images, XRD patterns, and magnetic properties of the as-synthesized samples: (a) Fe3 O4 (F), (b) Fe3 O4 @SiO2 (FS), (c) ZNO seeded Fe3 O4 @SiO2 , (d) Fe3 O4 @SiO2 @ZnO (FSZ) and (e) Fe3 O4 @SiO2 @ZnO/CdS (FSZC8 " are shown in Figure 11. Figure 10. Schematic representation of the preparation of (a) Fe3 O4 @SiO2 @ZnO/CdS core–shell microspheres. Reprinted with permission from [124], J. Yang, et al., Catalysis Science and Technology 6, 4525 (2016). © 2016, Royal Society of Chemistry. (b) Bi-I-functionalized magnetic HKUST-1 composites. Reprinted with permission from Ref. [125], L. Huang, et al., Journal of Materials Chemistry A 3, 11587 (2015). © 2015, Royal Society of Chemistry. 14 Magnetic Nanoparticles: Synthesis, Functionalization, and Applications Figure 11. (A) FESEM images of the as-synthesized samples: (a) Fe3 O4 (F), (b) Fe3 O4 @SiO2 (FS), (c) ZNO seeded Fe3 O4 @SiO2 , (d) Fe3 O4 @SiO2 @ZnO (FSZ), (e) Fe3 O4 @SiO2 @ZnO/CdS (FSZC8 !. (B) XRD patterns of the as-synthesized samples: (a) F, (b) FS, (c) ZNO seeded Fe3O4@SiO2 , (d) FSZ, (e) FSZC8 . (C) Magnetic hysteresis loops of the products at room temperature (300 K) (inset image shows photographs of separation and re-dispersion processes of the FSZC8 microspheres using a magnet). Reprinted with permission from [124], J. Yang, et al., Catalysis Science and Technology 6, 4525 (2016). © 2016, Royal Society of Chemistry. 5. APPLICATIONS Magnetic nanoparticles have numerous applications in a wide range of scientific fields. Some of the potential applications of MNPs are shown in Figure 12. 5.1. Medical Applications (Drug Delivery, Magnetic Resonance Imaging, Hyperthermia, and Bioseparation) In the medical fields, the inspiration for integrating nanotechnology has been expanding exponentially, particularly in the areas of drug delivery with the objective of directing the drug to the disease site with minimal side effects and reducing the dosage through more localized and efficient targeting [126–128]. This involves magnetic drug targeting, whereby an external magnetic field gradient is applied at the target tissue to deliver the drug through active targeting using high-affinity ligand attachment, as well as therapeutic strategies. For these medical applications, the MNPs must have good magnetic saturation, biocompatibility, and interactive functional groups at the surface. The surfaces of MNPs could be modified through the creation of few atomic layers of organic polymer or inorganic metallic or oxide surfaces [120]. For biomedical applications, MNPs that present superparamagnetic behavior at room temperature is preferred [129–131]. MNPs should be stable in water and in a physiological environment for biological applications. Biomedical applications can be divided in (a) in vivo and (b) in vitro applications. For in vivo applications, the MNPs should be encapsulated by a biocompatible polymer to prevent the original structure. For in vitro applications, composites consisting of superpara MNPs dispersed in diamagnetic particles with long sedimentation times in the absence of a magnetic field can be used. Antioxidant enzymes coated iron oxide nanoparticles stabilized using pluronic F-127 showed Magnetic Nanoparticles: Synthesis, Functionalization, and Applications 15 Figure 12. Potential applications of magnetic nanoparticles. considerable accumulation in aortic endothelial cells in vitro, under the application of magnetic field [132]. Magnetic hyperthermia is a promising tool for multimodal cancer treatment. The technique consists of targeting MNPs to tumor tissue followed by application of an external alternating magnetic field that induces heat through Néel relaxation loss of the MNPs [1, 133, 134]. The temperature in tumor tissue is increased to 43 ! C, which causes necrosis of cancer cells, but does not damage surrounding normal tissue. Therefore, to understand the heating efficiency of MNPs in biological conditions is of high interest to research. Therapies based on magnetic hyperthermia have already been proven in several types of cancer e.g., brain tumor, prostate cancer, or breast carcinoma [135–137]. MNPs such as iron oxide cube shaped nanoparticles [138], hybrid core–shell (e.g., Fe3 O4 @CaMoO4 :Eu, Fe3 O4 @YPO4 :Eu etc.) [139, 140], iron oxide multigrain structures (monocrystalline nanoflowers) [141] or magnetite nanocrystals synthesized in magnetosomes by magnetotactic bacteria [142, 143] have been recently investigated for magnetic hyperthermia, resulted in promising heating ability. MNPs of magnetite (Fe3 O4 ! and related spinels with cobalt, nickel, manganese, or other substitutions were also extensively studied for the use of hyperthermia [144–146]. The experimental results for magnetic hyperthermia vary widely. Hence, there is a strong need for the optimization of MNPs for magnetic hyperthermia. In magnetic hyperthermia, Néel relaxation, Brownian relaxation, and hysteresis loss result in thermal energy upon stimulation [147]. The relative contribution of each of them is strongly dependent on size, shape, crystalline anisotropy, and agglomeration of the nanoparticles [147, 148]. The heating produced by the MNPs under an AC field is usually defined by the specific absorption rate (SAR) [146]. Large SAR is essential for the therapeutic potential of this technique, while the AC field and frequency are limited for clinical attentions. Nanoparticles extracellularly produced by the bacteria Geobacter sulfurreducens were investigated that contain Co or Zn dopants to tune the magnetic anisotropy, saturation magnetization, and particle sizes [146]. The heating mechanisms specific to either Co or Zn doping are determined from frequency-dependent specific absorption rate (SAR) measurements and innovative AC susceptometry simulations. While both particle types undergo magnetization relaxation and show heating effects in water under low AC frequency and field, only Zn-doped particles maintain relaxation combined with hysteresis losses even when immobilized. This magnetic heating process could prove important in the biological environment where nanoparticle mobility may not be possible. The biogenic Zn-doped particles can be promising for combined diagnostics and cancer therapy. The SAR dependence on magnetic field for doped and undoped samples are shown in Figure 13. Chains of magnetosomes extracted from AMB-1 magnetotactic bacteria were shown to be highly efficient for cancer therapy under an AC field [137]. A suspension containing MDA-MB-231 breast cancer cells was exposed to an alternative magnetic field of frequency 183 kHz and field strengths of 20, 40, or 60 mT, resulting in destroying all these cells. The antitumoral activity of the extracted chains of magnetosomes was demonstrated further by showing that they can be used to fully eradicate a tumor xenografted under the skin of a mouse. The higher efficiency of the extracted chains of magnetosomes compared with various other materials (e.g., whole inactive magnetotactic bacteria, individual magnetosomes not organized in chains, and two different types of chemically synthesized superparamagnetic iron oxide nanoparticles) was demonstrated. Hugounenq et al. report a novel flower-shaped structure of magnetic iron oxide synthesized by a modified “polyol” protocol [141] (Fig. 14). These nanoflowers can be dispersed in water and exhibited interesting magnetic properties and a great capacity of heating. The value of the specific loss power (SLP) of these nanoflowers was one order of magnitude higher than the SLP reported for conventional single-domain iron oxide nanoparticles at the same applied AC field. Alphandery et al. report the magnetic properties 16 Magnetic Nanoparticles: Synthesis, Functionalization, and Applications Figure 13. SAR dependence on applied magnetic field for (a) Fe3 O4 with particle size 13.3 nm (MNB ! and (b) Co0"71 Fe2"58 O4 (Co0"7 ! in water at different frequencies, (c) SAR versus applied magnetic field for the two samples showing the highest experimental SAR values (Co0"42 Fe2"58 O4 (Co0"4 ! and Zn0"16 Fe2"84 O4 (Zn0"2 ! in water at 87 kHz), and (d) SAR versus magnetic field dependence for Fe3 O4 with particle size of 16.1 nm (MNA ! and Zn0"2 samples suspended in glycerol. Reprinted with permission from the [146], E. Cespedes, et al., Nanoscale 6, 12958 (2014). © 2014, Royal Society of Chemistry. and heating efficiency of cobalt-doped chains of magnetosomes extracted from magnetotactic bacteria for applications in cancer therapy [143]. The SAR of was increased from ∼400 W/g for the undoped chains of magnetosomes to ∼500 W/g for the cobalt-doped chains of magnetosomes, at an oscillating magnetic field of 80 mT and frequency of 183 kHz. Guibert et al. studied the role of aggregation of iron oxide nanoparticles on their heating properties by the coupling of dynamic light scattering (DLS) and hyperthermia experiments [148]. Bare and poly-acrylic acid-coated nanoparticles were used for the study of aggregation effect. The specific loss power of nanoparticles in small loose aggregates is similar to that of well-dispersed nanoparticles while the formation of large and dense aggregates leads to a significant decrease of the specific loss power. However, for intermediate aggregation states, DLS experiments alone do not allow fully grasping the links between heating properties and aggregation. The compactness of aggregates resulted in a decrease in heating efficiency. The separation and sorting of biological cells is critical for biomedical applications including diagnostics, therapeutics and fundamental cell biology. Magnetic sorting using magnetic particles has now become a routine technique for the cell separation from biological suspensions [149, 150]. MNP-based sandwich assays were developed for the detection of DNA samples by taking advantage of magnetic separation and amplified fluorescence detection [117, 151]. In MNP-based sandwich assay, two oligonucleotide sequences—one is complementary to one end of the target DNA and the other is a mismatched sequence to DNA—were conjugated onto the gold nanoparticles. These magnetic and gold nanoparticles were then hybridized with the target DNA to sandwich it. Further, fluorescent (Cy3-labeled) DNA probes complementary to the mismatched oligonucleotide sequence (known as barcode DNA) were immobilized onto the gold nanoparticles (Fig. 15). The sandwich complex was then separated by the application of magnetic field. The nanoparticles can reach the tumor by passive extravasation, due to the tumor’s increased permeability. This effect is known as the enhanced permeability and retention (EPR) effect. On the other hand, MNPs transmit near the tumor cells with the application of an external magnetic field of suitable strength (Fig. 16). The nanoparticles should not flow rapidly from the targeted tissue; therefore, the strength of magnetic field should be higher than the hydrodynamic blood flow [117]. The magnetic field should be ∼1 T for efficient immobilization of the MNPs against the Brownian and hydrodynamic forces in the blood flow. In addition, the immobilization of MNPs also depends on particle size and their distribution [152–154]. Detection of rare circulating tumor cells (CTCs) in the peripheral blood of metastatic cancer patients is promising for improved diagnosis, staging, and prognosis of cancers [155]. The iron oxide MNPs with average particle size of about 200 nm were functionalized with the recognition peptide through biotin–streptavidin interaction for CTC isolation. A schematic of the isolation of CTCs with high Magnetic Nanoparticles: Synthesis, Functionalization, and Applications 17 Figure 14. TEM micrographs and Fourier transformation of (A, B, and C) flowerlike nanoparticles, (D, E, and F) particles synthesized by polyol, and (G–I) particles synthesized by co-precipitation. Reprinted with permission from [141], P. Hugounenq, et al., J. Phys. Chem. C 116, 15702 (2012). © 2012, American Chemical Society. capture efficiency by peptide functionalized MNPs from spiked human blood under a magnetic field is shown in Figure 17. 5.2. Cooling Applications Room temperature magnetic cooling based on the magnetocaloric effect (MCE) has significant advantages compared with conventional gas-compression cooling technique, e.g., no greenhouse gases as well as high energy efficiency [19, 22, 156–179]. Today’s research is focused on finding the new magnetocaloric materials and an optimal design of magnetic refrigerator for near room temperature applications [156, 174]. The search of new materials with large MCE has gained large momentum in the last decade. Scientists and researchers throughout the world have devoted much attention to searching the new magnetocaloric materials. The world is warming in part because of air conditioners and refrigeration, and we are trying to stay cool in the warm world by using air conditioners! Nowadays, the target to control global warming below 2 ! C is the main focus of the international climate 18 Magnetic Nanoparticles: Synthesis, Functionalization, and Applications Figure 15. Schematic representation of amplified fluorescence detection of DNA based on magnetic separation. Reprinted with permission from [117], L. H. Reddy, et al., Chem. Rev. 112, 5818 (2012). © 2012, American Chemical Society. debate [180, 181]. Companies are making more than 180 million cooling device every year by using 10 K tons of environmentally harmful hydrofluorocarbons (HCFCs), which may be equivalent to 28–45% of CO2 emission in 2050 [182]. Magnetic cooling, which is an environmentally friendly and energy-efficient technology, may be a good alternative Figure 16. Schematic representation of the accumulation of PEGylated nanoparticles in tumor cells via the EPR effect and by the use of magnetic field. Reprinted with permission from [117], L. H. Reddy, et al., Chem. Rev. 112, 5818 (2012). © 2012, American Chemical Society. for making an improvement, as it is more energetically efficient than the current conventional cooling techniques. Magnetic cooling can achieve 60% of Carnot (ideal) efficiency in the laboratory, while the best gas compression cycle can reach only 40% [156]. In addition, compressors are Figure 17. Schematic representation of circulating tumor cells isolation with MNPs modified with the epithelial cell adhesion molecule (EpCAM) targeting peptide. (a) Screening of EpCAM targeting peptides from de novo designed peptide pool (b) Isolation of tumor cells in a magnetic field. Reprinted with permission from [155], L. Bai, et al., Journal of Materials Chemistry B 2, 4080 (2014). © 2014, Royal Society of Chemistry. 19 Magnetic Nanoparticles: Synthesis, Functionalization, and Applications noisy and vibrate a lot, whereas magnetic cooling devices can be silent and vibration free [183, 184]. Magnetocaloric nanoparticles (MCNPs) have attracted much interest because they can exhibit superior properties compared to the bulk materials. The nanocomposites offer a better match to the desired entropy-temperature curves than that of bulk material and improve the performance of the cycle. When the particle size and domain size (∼10–15 nm) are similar, the behavior can be superparamagnetic or spin glass at room temperature. Superparamagnetic particles possess large moment, high saturation magnetization, and a nonhysteretic M –H curve with zero remanence and coercivity. There have been very few studies to explore the possibility of cooling using superparamagnetic nanoparticles. Ferrite and other nanoparticles show interesting magnetocaloric behavior. The maximum entropy change is usually concentrated near the paramagnetic-ferromagnetic (PM-FM) transition and decays sharply on both sides the transition temperature. On the other hand, Co–, Mn–Zn– and Mg-ferrite nanoparticles show a broad temperature span of change in magnetic entropy, resulting in large relative cooling power capacity (RCP). Although theoretical studies have suggested that magnetocaloric properties can be enhanced for superparamagnetic ferrite nanoparticles, there has not been much focus on these materials. These nanoparticles can be suspended in a host matrix to enhance the surface area or in a carrier fluid to develop self-pumping cooling devices. The RCP of nanoparticles can be increased through a broad magnetic phase transition, which will be useful for low-grade waste heat recovery and heat pumps. Ucar et al. reviewed the RCP (in joule/$) of various magnetocaloric materials and found that FeNi-based materials are very useful for such applications [176]. For self-pumping cooling systems, MNPs are suitable if the TC lies between room temperature and the device operating temperature [9, 185–187]. Recently developed, Fe-based MNPs for MCE applications are listed in the Table 4. R2 Fe17 (R = rare earth) intermetallic compounds show moderate MCE near room temperature. Gorria et al. discussed the potential for P2 Fe17 nanostructured material as room temperature magnetocaloric materials [172]. They highlighted the differences in the MCE of arc-melted bulk and mechanically alloyed nanoparticles. The maximum change in entropy (!SM " was found to be less in nanoparticles while the working temperature span increased by a factor close to 2, resulting in increased relative cooling power (RCP) compared to the bulk alloy [172]. The increase in RCP was attributed to the broadening in magnetic entropy in nanoparticles. The exchange interactions in a nanostructured material usually have a distribution of magnetic transitions, which results in broader magnetization change with temperature and therefore large working temperature span. Álvarez et al. used a high-energy ball mill to produce nanocrystalline Nd2 Fe17 powders [188]. A decrease of mean crystalline size to ∼10 nm was observed, resulting in considerable expansion between disordered grain boundaries. They observed that the nanocrystalline samples exhibit a distribution in TC , decreased maximum value of !SM and a high working temperature span; the magnetization versus temperature curve reveals a slower decrease than that of the bulk sample. The MCE difference between bulk and ballmilled samples and the increased working temperature span with milling time is illustrated in Figure 18. In another study, the correlation between the broadening of !SM and the TC distribution in nanostructured Pr2 Fe17 and Nd2 Fe17 powder synthesized by high-energy ball milling was studied [193]. In both cases, the local environment of Fe atoms, and therefore the magnetic interactions, change with increasing milling time, resulting in a broader TC distribution. Er2 Fe17 exhibits both Table 4. Magnetocaloric properties for iron based magnetocaloric materials. Sample Size (nm) Pr2 Fe17 Pr2 Fe17 Nd2 Fe17 Nd2 Fe17 NdPr Fe17 20 20 14 24 20 Fe72 Ni28 Fe70 Ni30 (Fe70 Ni30 "97 Mo3 (Fe70 Ni30 "96 Mo4 (Fe70 Ni30 "89 Zr7 B4 (Fe70 Ni30 "89 Zr7 B4 (Fe70 Ni30 "89 B11 (Fe70 Ni30 "89 B11 (Fe70 Ni30 "92 Mn8 (Fe70 Ni30 "95 Mn5 (Fe70 Ni30 "99 Cr1 (Fe70 Ni30 "97 Cr3 (Fe70 Ni30 "95 Cr5 (Fe70 Ni30 "94 Cr6 (Fe70 Ni30 "93 Cr7 – – – – 20 20 12 12 15 14 12 10 13 12 11 TC (K) !SM (J-kg−1 K−1 ) R2 Fe17 (R = Rare earth) magnetic nanoparticles 292 2.1 292 4.5 340 1.6 340 1.85 303 2.1 Fe–Ni–M (M = B, Mn, Cr, Mo) magnetic nanoparticles 333 0.5 333 0.32 320 1.69 300 1.67 353 0.7 353 ∼2.8 381 0.73 381 2.1 340 1.67 338 1.45 398 1.58 323 1.49 258 1.45 245 1.22 215 1.11 !H (T) RCP Ref. 1.5 5 1.5 1.5 2 107 573 83 87 175 [172] [172] [188] [188] [189] 5 5 5 5 1.5 5 1.5 5 5 5 5 5 5 5 5 250 342 440 432 [190] [190] [191] [191] [167] [167] [21] [21] [19] [192] [10] [10] [10] [10] [10] ∼300 155 640 466 470 548 436 406 366 306 20 Magnetic Nanoparticles: Synthesis, Functionalization, and Applications Figure 18. Temperature dependence of !!SM ! values under the application of magnetic field of 1.5 T for bulk and milled Nd2 Fe17 samples. Temperature span ("TFWHM # is shown by the horizontal lines for each sample. The inset shows the magnetic field dependence of "TFWHM for all bulk and powder samples. Reprinted with permission from [188], Á. Pablo, et al., J. Phys.: Condens. Matter. 22, 216005 (2010). © 2010, IOP Publishing. direct and inverse MCE with moderate !SM and adiabatic temperature (!Tad # change [194]. The inverse MCE was due to the crystalline electric field-level crossover in the Er sub-lattice and ferrimagnetic interactions between the Er and Fe sub-lattice. The effect of demagnetizing factor on !SM and RCP in Er2 Fe17 prepared by arc melting was investigated [195]. NdPrFe17 ribbons composed of nanocrystals with in amorphous phase shows two successive phase transitions, giving rise to increased working temperature span and enhanced RCP [189]. The RCP values for Fe17 NdPr ribbons were larger than those of Fe17 Pr2 bulk crystals. Chaudhary et al. studied the MCE of (Fe70 Ni30 #100−x Ax nanocrystalline powders with A = Mn, Cr, and B, produced by high-energy ball milling. Boron, manganese, and chromium were individually used to reduce TC to near room temperature [10, 19–21, 192]. %-(Fe70 Ni30 #89 B11 nanoparticles were found to exhibit very high RCP up to 640 J-kg−1 for a field change !Hof 5 T, with TC ∼381 K. A broad operating temperature range along with a moderate change in entropy and very high RCP make these nanoparticles potential candidates for magnetic cooling applications in low grade waste heat recovery [21]. The %-(Fe70 Ni30 #95 Mn5 $TC ∼ 338 K) and %-(Fe70 Ni30#92 Mn8 $TC ∼ 317 K) nanoparticles possess good RCP up to 470 J-kg−1 and 415 J-kg−1 , respectively, for a field change of 5 T. Different compositions such as Fe70 Ni30 , (Fe70 Ni30 #99 Cr1 , (Fe70 Ni30 #97 Cr3 , (Fe70 Ni30 #95 Cr5 , (Fe70 Ni30 #94 Cr6 , and (Fe70 Ni30 #93 Cr7 were synthesized by high-energy ball milling [10]. The effect of alloying of Fe70 Ni30 with Cr on magnetic phase transition temperature (TC # was studied (Fig. 19). The TC for Fe70 Ni30 , (Fe70 Ni30 #99 Cr1 , (Fe70 Ni30#97 Cr3 , (Fe70 Ni30 #95 Cr5 , (Fe70 Ni30 #94 Cr6 , and (Fe70 Ni30#93 Cr7 is 438 K, 398 K, 323 K, 258 K, 245 K, and 215 K, respectively. Figure 19. Left axis shows the temperature dependence of magnetization M$T # for (a) Fe70 Ni30 , (b) (Fe70 Ni30 #99 Cr1 , (c) (Fe70 Ni30 #97 Cr3 , (d) (Fe70 Ni30 #95 Cr5 , (e) (Fe70 Ni30 #94 Cr6 , and (f) (Fe70 Ni30 #93 Cr7 while the right axis shows the corresponding derivative with respect to temperature. Reprinted with permission from [10], V. Chaudhary and R. V. Ramanujan, Scientific Reports 6, 35156 (2016). © 2016, Nature Publishing Group. 21 Magnetic Nanoparticles: Synthesis, Functionalization, and Applications Figure 20. Temperature dependence of −!SM under magnetic field ranging from 0.5 T to 5 T for (a) (Fe70 Ni30 "99 Cr1 , (b) (Fe70 Ni30 "97 Cr3 , (c) (Fe70 Ni30 "95 Cr5 , (d) (Fe70 Ni30 "94 Cr6 , and (e) (Fe70 Ni30 "93 Cr7 . (f) Dependence of −!SM (left axis) and RCP (right axis) on chromium content in (Fe70 Ni30 "100−x Crx nanoparticles. Reprinted with permission from [10], V. Chaudhary and R. V. Ramanujan, Scientific Reports 6, 35156 (2016). © 2016, Nature Publishing Group. For a 1 T applied magnetic field, !SM for (Fe70 Ni30"99 Cr1 , (Fe70 Ni30 "97 Cr3 , (Fe70 Ni30 "95 Cr5 , (Fe70 Ni30 "94 Cr6 , and (Fe70 Ni30 "93 Cr7 at their TC was found to be 0.38 J-kg−1 K−1 , 0.27 J-kg−1 K−1 , 0.37 J-kg−1 K−1 , 0.29 J-kg−1 K−1 , and 0.28 J-kg−1 K−1 , respectively [10] (Fig. 20). When the field was increased to 5 T, !SM for (Fe70 Ni30"99 Cr1 , (Fe70 Ni30 "97 Cr3 , (Fe70 Ni30 "95 Cr5 , (Fe70 Ni30 "94 Cr6 , and (Fe70 Ni30 "93 Cr7 was found to be 1.58 J-kg−1 K−1 , 1.49 J-kg−1 K−1 , 1.45 J-kg−1 K−1 , 1.22 J-kg−1 K−1 , and 1.11 J-kg−1 K−1 , respectively. Rosenweig described the principle of magnetocaloric self-pumping using ferrohydrodynamic equations [186]. Figure 21 shows the schematic diagram of the magnetothermal self-pumping principle, having a tube filled by ferofluid, constant magnetic field, and 4 regions represented by 1, 2, 3, and 4. The Bernoulli equation for the fluid flow inside the magnetic field is dH dp dv dh + #v + #g − $0 M =0 ds ds ds ds Let us consider that the ferrofluid is an incompressible fluid with a constant density. Equation (3) with the dimension per unit volume can be written as [196] ! H2 v12 M dH + #gh1 − $0 2 0 ! H2 v2 = p2 + # 2 + #gh2 − $0 M dH 2 0 p1 + # (4) In Figure 21, a tube filled with ferrofluid has two sections represented by a cold and hot region. A constant magnetic field was applied in the middle of the tube. All the gain here is because of the change in magnetization of the ferrofluid in the cold and hot regions. The magnetization of ferrofluid is higher in the cold region, which will be attracted (2) Where v is the fluid velocity along the distance s, and h is height with the reference of ground level. The integration of Eq. (2) from the section denoted by 1 to the section denoted by 2 can be represented by !2M ! 2 dp v 2 − v12 + 2 + g%h2 − h2 " − $0 dH = 0 # 2 1 1 # (3) Figure 21. Schematic representation of magnetothermal self-pumping principle. 22 Magnetic Nanoparticles: Synthesis, Functionalization, and Applications by the magnetic field. When the ferrofluid reached the hot region, it started to get hot and lost its magnetization. If we apply the Bernoulli equation, neglecting gravitational potential energy and letting that kinetic energy for cross-section of the tube is constant, the expression for regions 1 and 2 can be made as [186, 196] p1 = p2 − !0 "M̄H #2 where M̄ = 1 !H M dH H 0 (5) (6) Similarly, the application of the ferrohydrodynamics Bernoulli equation between regions 3 and 4, i.e., the pressure difference between regions 3 and 4 p4 = p3 − !0 "M̄H #3 (7) The ferrohydrodynamics Bernoulli equation is not applicable on the part of the tube where the magnetic field is applied, since the assumption of an isothermal flow field is inherent and its derivation is not involved here. By neglecting the acceleration, gravity, and friction, Rosenweig shows the following governing equation inside the magnetic field [186]. 0 = −$p∗ + !0 $H (8) Where p is the composite pressure as magnetic field is uniform, with results p2∗ = p2∗ . The change in the pressure between regions 4 and 1 can now be defined as ∗ %p = p4 − p3 = !0 H&M̄"T1 # − M̄"T1 #' = !0 H%M̄ (9) Actually this pressure difference "%p# can be considered as the basis for the self-pumping of magnetocaloric fluid. Self-pumping of the magnetothermal fluid may be used for thermal management of electronic systems and in the development of heat driving pump systems. By using the principle proposed by Rosenweig, in 2004, Love et al. suggested a magnetocaloric pumping by having only thermal and magnetic fields [197, 198]. A uniform magnetic field coincident with a temperature gradient yields a force in the magnetic fluid. They have provided the basic description of the process and the limitations. They developed a finite-element model with a series of experiments. In 2004 Ganguly et al. simulated the thermomagnetic convection and explained the origin of this kind of convection [199]. A parametric study was shown to associate the heat transfer, temperature difference, cavity dimension, magnetic field, and fluid viscosity. Thermomagnetic convection is the result of both magnetic field and temperature gradients. Warmer fluid of lower magnetic susceptibility moves away from the field, while colder fluid with a higher susceptibility moves toward the magnetic field. In 2005, Mukhopadhyay et al. used scaling analysis to characterize thermomagnetic heat transfer in a two-dimensional enclosure filled with a ferrofluid [200]. Their results excellently matched the detailed numerical simulation. In 2008, Li et al. established a prototype of a miniature automatic cooling device without any moving mechanical part. An experimental study to investigate the performance matric of the cooling device and the effects the magnetic field and temperature distribution of the fluid on the cooling performance of the device was investigated. It was demonstrated that the magnetic field and the temperature gradient, jointly is the source of the driving force and no additional energy required to run the device. In 2009, Lian et al. developed an automatic energy transport device by using a temperature sensitive magnetocaloric ferrofluid as a coolant [201, 202]. The magnetic field gradient and the fluid temperature variation results the fluid motion in a loop. They mentioned that these devices can be applicable for energy transport systems including lab-on-achip, energy conversion devices, electronic cooling devices, etc. since no mechanical moving part is required. They stated that the changing magnetic field and temperature variation of magnetic fluid can control the energy transport process in such devices. In 2011, Xuan and Lian presents a practical design of thermomagnetic convection in electronic cooling [203]. An earth magnet and the waste heat generated from hot source (e.g., a chip) were used to maintain the flow of working ferrofluid, which passages heat to a far end for dissipation. This cooling device does not need any additional energy as the waste heat dissipation is used for driving the ferrofluid and therefore completely self-powered device. As the heat load increases (i.e., initial temperature of chip increased), a higher heat dissipation rate can be achieved due to a more thermomagnetic convection. Therefore, the devices based on thermomagnetic convection can be treated as selfregulating devices. Later in 2011, Pal et al. invented a thermomagnetic pump without any external pressure gradient [204]. The increased temperature of the ferrofluid from the heat load and magnetic field gradients results the driving forces to move the ferrofluid. This kind of self-pumping can have many applications in cooling especially microelectronic devices. Performance of the thermomagnetic pump was also studied experimentally to characterize the pump pressure head and discharge under different working conditions, i.e., the magnetic field strength, heating power, and ferrofluid properties. They reported that the pump offers precise flow control and high flow rate compared to similar pumps in its category. In 2015 Rahman and Suslov explained the linear stability of magneto-convection of a ferrofluid contained between two heated plates under uniform applied magnetic field [205]. They also explained that the thermomagnetic convection arises due to the variation in magnetization with temperature. In 2016, we investigated a self-pumping magnetic cooling device that does not require a mechanical pump or external energy input. Cooling by 28 # C was achieved in less than 3 min by the application of 0.3 T magnetic field [185]. In this invention, we have used Mn–Zn ferrite nanoparticles to prepare the ferrofluid. Mn0(4 Zn0(6 Fe2 O4 nanoparticles were synthesized via the hydrothermal method [206]. In a typical synthesis, manganese(II) chloride tetrahydrate, zinc chloride and iron(III) chloride hexahydrate were used as a starting precursor. Sodium hydroxide was used to adjust the pH value. Each starting precursor was dissolved separately in appropriate molar quantities of purified water. 5M–NaOH Magnetic Nanoparticles: Synthesis, Functionalization, and Applications 23 Figure 22. Surface coating of Mn–Zn-ferrite nanoparticles to prepare ferrofluid for magnetic cooling applications. was added to the iron chloride solution until the pH value became 8. The precipitate was centrifuged and washed four times with deionized_water. The salt solutions were then added together and vigorously stirred while adding sodium hydroxide drop-wise until the pH of the reaction mixture reached a value of 11. The resulting slurry was decanted into a pressure vessel and placed into an oven at 190 ! C for 4 h. The nanoparticles obtained by this method were washed several times with deionized water followed by vacuum drying overnight. For the surface coating, the dried nanoparticles were added to a mixture of oleic acid and HNO3 in the ratio of 1:10, followed by 2 h mechanical stirring at 80 ! C (Fig. 22). After cooling, the nanoparticles were extracted from the excess HNO3 and oleic acid by a permanent magnet. Finally, the coated particles were dispersed in deionized water (Fig. 22). The stability of nanoparticles in the fluid is crucial for self-pumping magnetic cooling. The ratio of thermal energy to magnetic energy results in an expression for particle size d < !6kT /"MH#, suggesting that small particles can be suspended in a fluid, even in high magnetic fields [186, 207]. A self-pumping magnetic cooling prototype was built and experiments were carried out to determine the effect of Figure 23. Performance of the self-pumping magnetic cooling prototype; load temperature decreases ∼20 ! C with the application of 0.3 T magnetic field. magnetic field on cooling [185, 206]. Figure 23 shows the temperature profile of heat load with and without a magnetic field. A reduction in temperature of ∼20 ! C can be seen. Based on the literature, the advantages of thermomagnetic convection include (a) no moving mechanical part, (b) no external energy required to run the devices as it take energy from the body which we wanted to cool, (c) no need for dynamic seals, (d) the service temperature can be tuned by choosing the ferrofluid having suitable TC , and (e) the potential application can be enlarged from cooling of small electronic devices to cooling of large space craft electronics. 5.3. Catalysis Applications An environmentally friendly procedure with heterogeneous and reusable catalyst for organic and inorganic reactions is of high interest. The application of functionalized MNPs results in better reaction process, including reaction time, catalyst loading, reaction temperature, and reactant concentration, with reduced waste production and uninterrupted production. These magnetic supported catalysts show high catalytic activity and a high degree of chemical stability [208]. Many functionalized MNPs has been designed and widely used either as a catalyst or catalyst support in traditional metal catalysis, organocatalysis, and enzyme catalysis [119, 209]. MNPs were used as a core for –OSO3 H-functionalized mesoporous MCM-41 shell to provide a core–shell solid acid catalyst (Fe3 O4 @MCM-41-OSO3 H) [209]. The obtained nano-magnetic catalyst was used in the three-component reaction of indoles, aldehydes, and thiols to furnish the desired 3-[(aryl)(arylthio)methyl]-1H-indoles in good yields under very mild reaction conditions. In another study, an Fe3 O4 @Silica sulfuric acid core–shell composite was prepared using Fe3 O4 and silica sulfuric acid nanoparticles as the core and shell, respectively [210]. The catalytic activity of this solid acid nanocomposite was probed through one-pot synthesis of 3,4-dihydropyrimidinones via threecomponent couplings of aldehydes, $-diketone, and urea under solvent-free conditions. In this reaction, Fe3 O4 @Silica sulfuric acid showed a highly catalytic nature, short reaction time, and recycle exploitation. The nanomagnetic catalyst 24 Magnetic Nanoparticles: Synthesis, Functionalization, and Applications can be easily separated from the solution using a small permanent magnet. Sulfonic-acid-supported silica-coated MNPs (Fe3 O4 @ SiO2 @PrSO3 H) were prepared by a facile immobilization technique [211]. The final catalyst was found to be an efficient and environmentally benign solid acid for the Pechmann condensation of substituted phenols with ethyl acetoacetate leading to the formation of coumarin derivatives. After the reaction, the catalyst could be effortlessly separated by external magnet and reused for 22 consecutive runs, without any significant loss in catalytic efficiency. Dezfoolinezhad et al. prepared core double shell Fe3 O4 @SiO2 @polyionene/Br− 3 nanoparticles for the syntheses of imidazole derivatives under solvent-free conditions [212]. The polyionene was prepared by reacting 1,4-diazabicyclo[2.2.2]octane (DABCO) and 1,4-dibromo butane in dimethylformamide/methanol. It was then added to the previously formed core–shell Fe3 O4 @SiO2 nanoparticles. Recyclability of this magnetic catalyst was studied in the reaction between 4-chloro-benzaldehyde and orthophenylene diamine. The catalyst was found to be reusable six times without significant loss (∼10%) of activity. A core-doubleshell Fe3 O4 @SiO2 @Zn(Por)OP magnetic particles were designed and prepared by coating a core–shell Fe3 O4 @SiO2 nanoparticles with a zinc porphyrin-based organic polymer (Zn(Por)OP) [213]. Under the optimal conditions, a propylene carbonate yield of 97% was achieved using Fe3 O4 @SiO2 @Zn(Por)OP catalyst with potassium iodide as co-catalyst. In another study, a multifunctional Fe3 O4 @SiO2 @PEIAu/Ag@PDA catalyst with highly stabilized reactivity was synthesized by a self-assembled method [214]. A thin coating of the SiO2 on Fe3 O4 MNPs resulted in a negatively charged surface. Then poly(ethyleneimine) polymer (PEI) which has positively charge surface was self-assembled onto the Fe3 O4 @SiO2 . Next, negatively charged glutathione capped gold nanoparticles (GSH-AuNPs) were electrostatically self-assembled onto the Fe3 O4 @SiO2 @PEI. After that, silver was grown on the surface of the nanocomposite due to the reduction of the dopamine in the alkaline solution. The Fe3 O4 @SiO2 @PEI-Au/Ag@PDA nanocomposite showed a high Ms of 48.9 emu/g. The Fe3 O4 @SiO2 @PEIAu/Ag@PDA nanocomposite was used to catalyze the reduction of p-nitrophenol (4-NP) to p-aminophenol (4-AP). These catalysts can be easily recycled from the reaction mixture by magnetic separation and no significant loss of the activity was observed after a number of cycles [212–214]. Table 5 shows the list of magnetic catalysts for different chemical reactions. Photocatalytic performances were evaluated by the photocatalytic elimination of rhodamine B (RhB) under visible light irradiation [124]. Compared with the Fe3 O4 @SiO2 @ZnO microspheres, the Fe3 O4 @ SiO2 @ZnO/CdS microspheres showed enhanced visible light photocatalytic activity, benefiting from the sensitization of CdS, which can extend the visible light absorption and facilitate the separation of photoinduced carriers. Fe3 O4 @SiO2 @ZnO/CdS with 10.1 wt% CdS exhibited the best photocatalytic ability. Furthermore, these multifunctional microspheres exhibit excellent magnetic response Table 5. List of applications of modified MNPs catalysts for different chemical reactions. Magnetic catalyst Sulfuric-acidfunctionalized MCM-41-coated magnetite nanoparticles with core shell structures Sulfuric-acidfunctionalized silica-coated magnetite Silica-coated magnetic nanoparticle Sulfonic-acidsupported silica coated-magnetic nanoparticles (Fe3 O4 @SiO2 @ PrSO3 H) Fe3 O4 @aminocellulose hybrid Fe3 O4 @SiO2 @ polyionene/Br−3 Fe3 O4 @SiO2 @ Zn(Por)OP Fe3 O4 @SiO2 @PEIAu/Ag@PDA Reaction Ref. Reaction of indoles, aldehyde and thiols under mild reaction conditions [209] Synthesis of 1-amidoalkyl-2-naphtols via the one pot three component reaction of naphthol, aldehydes derivatives, urea under solvent free conditions Synthesis of phthalazine derivatives by the treatment of phthalhydrazide with aromatic aldehydes and cyclis or acyclic 1,3-diketones under acidic conditions One-pot synthesis of N-substituted pyrroles at room temperature in aqueous phase [210] CuO-mediated controlled radical polymerization of styrene Syntheses of imidazole derivatives under solvent-free conditions The cycloaddition of CO2 to propylene oxide The reduction of p-nitrophenol (4-NP) to p-aminophenol (4-AP) [216] [215] [211] [212] [213] [214] and high stability. The core–shell Fe3 O4 @SiO2 @ZnO/CdS maintained high photocatalytic activity after multiple cycles. Zhang et al. investigated a highly efficient and easily recoverable magnetic nanoparticle-supported palladium catalyst in the Hiyama reaction of aryltrialkoxysilanes with a variety of organic halides (Fig. 24(a)) [11]. The reactions produced the corresponding products in good yields. To evaluate the recyclability of the SiO2 @Fe3 O4 Pd catalyst in the Hiyama reaction, 4-iodoanisole and phenyltrimethoxysilane were chosen as model substrates. After the model Hiyama reaction was carried out under the optimized reaction conditions, the catalyst was recovered by an external magnetic separation. More than 99% of the catalyst could simply be recovered by fixing a magnet near the reaction vessel. For the model Hiyama reaction, the supported palladium catalyst SiO2 @Fe3 O4 –Pd exhibited high stability and recovered and reused at least 10 times without significant loss of catalytic activity. A magnetic silica supported copper catalyst (Fe3 O4 @SiO2 @Cu) was prepared by one-pot synthesis methodology (Fig. 24(b)) [217]. The catalyst was used for the efficacious amination of aryl halides in aqueous medium under microwave irradiation. Shelke et al. reported an efficient protocol for the synthesis of medicinally important pyrazole derivatives, 4-methoxyaniline, and Ullmann-type Magnetic Nanoparticles: Synthesis, Functionalization, and Applications 25 Figure 24. (a) Stepwise preparation of the catalyst and its application in the Hiyama reaction. Reprinted with permission from [11], L. Zhang, et al., Catalysis Science and Technology 2, 1859 (2012). © 2012, Royal Society of Chemistry. (b) Synthesis of the magnetic silica supported copper catalyst followed by amination of 4-nitro bromobenzene using Fe3 O4 @SiO2 @Cu. Reprinted with permission from [217], R. B. Nasir Baig and R. S. Varma, RSC Advances 4, 6568 (2014). © 2014, Royal Society of Chemistry. (c) Nanocat-Fe–CuO catalyzed Ullmann condensation reaction of 4-methoxyphenol with iodobenzene. Reprinted with permission from [218], S. N. Shelke, et al., ACS Sustainable Chemistry and Engineering 2, 1699 (2014). © 2014, American Chemical Society. (d) Synthetic route toward nanocatalysts and their application in the Suzuki Miyaura coupling reaction. Reprinted with permission from [219], Y. Long, et al., New J. Chem. 39, 2988 (2015). © 2015, Royal Society of Chemistry. (e) Preparation of the nanocatalyst Fe–Pd and its application in the C–N coupling reaction. Reprinted with permission from [220], S. Sa, et al., Green Chemistry 16, 3494 (2014). © 2014, Royal Society of Chemistry. condensation reaction using magnetically separable and reusable magnetite-supported copper (nanocat-Fe–CuO) nanoparticles (Fig. 24(c)) [218]. Nanoparticles with an average size of 20–30 nm were synthesized using wet impregnation techniques from readily available inexpensive starting materials and were recycled six times without a loss in catalytic activity. Long et al. prepared Fe3 O4 MNPs functionalized with amino groups by a facile one-pot template-free technique to immobilize PdII and Pd0 using a metal adsorption and reduction procedure (Fig. 24(d)) [219]. The PdII catalyst exhibited better catalytic activity for carbonylative cross-coupling reactions than the Pd0 catalyst. The proposed reaction mechanism of Suzuki carbonylative cross-coupling reactions using the Pd catalyst was inferred. The agglomeration of Pd0 nanoparticles, which was confirmed by TEM, was the reason for different catalytic activities of the reactions catalyzed by immobilized PdII and Pd0 catalysts. The PdII catalyst revealed high efficiency and stability during recycling stages. Sa et al. established the immobilization of Pd on the magnetite surface to form Nanocat-Fe–Pd using inexpensive precursors and investigated its catalytic role in the Buchwald-Hartwig reaction for arylation of amines and amides (Fig. 24(e)) [220]. C–N bond formation was achieved in moderate to excellent yields and the catalyst was separated and recycled up to five cycles with a miner loss in yield [220, 221]. 5.4. Environmental Applications Magnetic nanoparticles, such as nano zero-valent iron (nZVI), magnetite (Fe3 O4 !, and maghemite ("-Fe2 O3 ! nanoparticles have potential applications for treatment of polluted water or subsurface environments [26, 28, 222–224]. 26 Magnetic Nanoparticles: Synthesis, Functionalization, and Applications Figure 25. The effect of humic acid in aqueous solutions on the removal of heavy metals by (a) Fe3 O4 /HA and (b) Fe3 O4 . Influence of pH on the removal of heavy metals by (c) Fe3 O4 /HA and (d) Fe3 O4 . 100 ml of aqueous solution containing 0.1 mg/L heavy metals (pH 6.0) was added 10 mg of Fe3 O4 /HA or Fe3 O4 . Reprinted with permission from [226], J.-F. Liu, et al., Environ. Sci. Technol. 42, 6949 (2008). © 2008, American Chemical Society. These MNPs have a large removal capacity, fast kinetics, and high reactivity for removal of contaminant due to their extremely small particle size and magnetic behavior. The contaminant removal mechanism is different for different MNPs and significantly depends on the surface properties of the MNPs. The strong reducing property of iron is supportive to degrade the toxic organic and inorganic pollutants to nontoxic elements. Wanna et al. reported hybrid MNPs based on poly methyl methacrylate and super-paramagnetic iron oxide nanoparticles with selective surface modification for heavy metal removal by application of external magnetic fields [225]. The efficiency of these hybrid nanoparticles for heavy metal removal were studied on Pb(II), Hg(II), Cu(II), and Co(II) in aqueous solutions. The removal efficiency of the hybrid nanoparticles depends on the cation radius and the pairing of metal ions by the amine group. Humic-acid-coated Fe3 O4 nanoparticles (Fe3 O4 /HA) were synthesized by co-precipitation for the removal of toxic Hg(II), Pb(II), Cd(II) and Cu(II) from the water [226]. Figure 25 shows the impact of humic acid and pH on the removal of metals by Fe3 O4 and Fe3 O4 /HA . With the addition of humic acid in the range of 0–20 mg/L dissolved organic carbon (DOC), larger metal removals were observed for Fe3 O4 /HA in comparison to Fe3 O4 . The adsorption behavior of perfluorooctane sulfonate (PFS) on Al2 O3 , Fe2 O3 , SiO2 , and TiO2 nanoparticles was studied in terms of adsorption isotherms and influences of pH, ionic strength, and heavy metallic cations [227]. The PFS adsorption exhibited strong pH dependence on nano-oxides because of different species of surface hydroxyl groups. Electrostatic interaction and sulfonic group of PFS allow the hydrogen bonds on the surface of nano-oxides. In addition, the coexisting PFS and heavy metallic cations greatly enhanced their adsorption onto the nano-oxides. The removal mechanism of Cr(VI) and As(V) pollutants from water by !-Fe2 O3 nanoparticles was attributed to electrostatic interactions with the polarized oxygen atoms on the iron oxide surface at low pH values [228–233]. The arsenic adsorption on varying adsorbents including iron oxides, aluminium hydroxides, alumina, and carbon as a arsenic removal in drinking water treatments was studied [228]. The adsorption capacities for arsenite and arsenate increased with decreasing size of the magnetite particles [228]. The Fe3 O4 @SiO2 /GO adsorbent was developed by modification of graphene oxide with SiO2 -coated Fe3 O4 nanoparticles. The Fe3 O4 @SiO2 /GO adsorbent was used for the removal of As(III) and As(V) from environmental waters. Fe3 O4 @SiO2 /GO provided high adsorption capacities, i.e., 7.51 and 11.46 mg-g−1 for As(III) and As(V), respectively, at pH 4.0. The adsorbent removal for As(III) was better than As(V) [233]. Lakshmanan et al. used microemulsion-prepared iron oxide MNPs and protein-functionalized nanoparticles in water treatment [234]. More than a 90% reduction of microbial content compared to untreated samples was seen. The mineral ion composition was not significantly affected by the treatment, which indicates their potential in the treatment process. The adsorption of Hg2+ on Fe3 O4 @SiO2 , Fe3 O4 @SiO2 @HKUST-1, and Bi-I-functionalized magnetic MOF composites was investigated [125]. A good adsorption selectivity of Bi-I-functionalized magnetic MOF composites towards Hg2+ was demonstrated, with high Magnetic Nanoparticles: Synthesis, Functionalization, and Applications adsorption capacity and fast adsorption dynamics. The BiI-functionalized magnetic HKUST-1 composite was then employed for the selective removal of Hg2+ from water, demonstrating great potential application of the prepared magnetic MOF composite as a fascinating adsorbent in environmental monitoring [125]. Magnetic nanostructures also have promising applications in the field of spintronic devices, sensors, high-density data storage media, and electrodes for batteries [25, 235, 236]. !-Fe2 O3 and Fe3 O4 possess low cost, are environmental friendly, and have promising high theoretical capacities and therefore are promising anode materials for lithium ion batteries [237, 238]. The theoretical capacities for !-Fe2 O3 and Fe3 O4 were found to be 1005 mAhg−1 and 928 mAhg−1 [238]. Fe3 O4 MNPs with an average size of ∼20 nm were homogeneously attached on a 3D graphene for a anode of lithium-ions batteries [235]. The porous feature of Fe3 O4 /porous graphene can help to enhance the electrolyte/material interfacial reactivity. One-pot hydrothermal method for in situ filling of carbon nanotubes (CNT) with Fe3 O4 nanoparticles was demonstrated [238]. The synthesized Fe3 O4 @CNT showed a mesoporous texture with a surface area of 109.4 m2 g−1 . When evaluated for lithium storage at 1.0 C (1 C = 928 mAg−1 ", the mesoporous Fe3 O4 @CNT can retain at 358.9 mAhg−1 after 60 cycles. The Fe2 O3 -graphene nanosheet composite synthesized by a microwave-assisted hydrothermal technique exhibited a large reversible capacity of 1184 mAh-g−1 at a small current of 100 mA-g−1 [239]. Uniform distribution of Fe3 O4 nanoparticles in the carbon nanotube was helpful for enhancing the electrical conductivity, cyclic stability, and rate capability. 6. SUMMARY The synthesis of MNPs with a wide range of compositions and tunable sizes and shapes has made considerable progress. However improving the existing synthesis routes and/or finding a novel method that can produce reliable MNPs with the characteristics required for numerous applications, such as biomedical, catalyst, magnetic cooling, and environmental, is a continuous interest of scientific research. In this chapter, we summarized recent synthesis routes and surface functionalization of MNPs. The effect of the shape and size of the nanoparticles on the specific properties was also discussed. Metallic nanoparticles (e.g., Fe–Co, Fe–Ni) have a higher magnetization than those of oxide (e.g., CoFe2 O4 , NiFe2 O4 " counterparts. However, high reactivity and toxicity of metallic nanoparticles make them inappropriate for many applications. Therefore metallic nanoparticles are necessary to protect with a coating of a polymer or a silica layer against the surroundings. Surface functionalization and modification of MNPs with designed active sites, including catalysts, ligands, enzymes, drugs, and other species are promising for a variety of applications. Acknowledgments The authors thank Professor Raju V. Ramanujan for the discussion and continuous support during the writing of this chapter. 27 REFERENCES 1. S. Purushotham and R. V. Ramanujan, J. Appl. Phys. 107, 114701 (2010). 2. A. Hütten, D. Sudfeld, I. Ennen, G. Reiss, K. Wojczykowski, and P. Jutzi, J. Magn. Magn. Mater. 293, 93 (2005). 3. M. Ebrahimi, Nanomedicine Journal 3, 155 (2016). 4. A. Du and Y. Xu, J. Magn. Magn. Mater. 320, 2567 (2008). 5. G. Vallejo-Fernandez, O. Whear, A. G. Roca, S. Hussain, J. Timmis, V. Patel, and K. O. Grady, J. Phys. D: Appl. Phys. 46, 312001 (2013). 6. R. Thomas, I.-K. Park, and Y. Jeong, International Journal of Molecular Sciences 14, 15910 (2013). 7. A. Kolhatkar, A. Jamison, D. Litvinov, R. Willson, and T. Lee, International Journal of Molecular Sciences 14, 15977 (2013). 8. A. Tarangelo and S. J. Dixon, Nat. Nano 11, 921 (2016). 9. V. Chaudhary and R. V. Ramanujan, MRS Online Proceedings Library 1708, vv10 (2014). 10. V. Chaudhary and R. V. Ramanujan, Scientific Reports 6, 35156 (2016). 11. L. Zhang, P. Li, H. Li, and L. Wang, Catalysis Science and Technology 2, 1859 (2012). 12. A. H. Lu, E. L. Salabas, and F. Schüth, Angew. Chem. Int. Ed. 46, 1222 (2007). 13. M. M. Yallapu, S. F. Othman, E. T. Curtis, B. K. Gupta, M. Jaggi, and S. C. Chauhan, Biomaterials 32, 1890 (2011). 14. J. Estelrich, M. J. Sánchez-Martín, and M. A. Busquets, International Journal of Nanomedicine 10, 1727 (2015). 15. H. Yang, X. Li, H. Zhou, Y. Zhuang, H. Hu, H. Wu, and S. Yang, J. Alloys Compd. 509, 1217 (2011). 16. A. Shanavas, S. Sasidharan, D. Bahadur, and R. Srivastava, J. Colloid Interface Sci. 486, 112 (2017). 17. G. Reiss and A. Hutten, Nat. Mater. 4, 725 (2005). 18. N. A. Frey, S. Peng, K. Cheng, and S. Sun, Chem. Soc. Rev. 38, 2532 (2009). 19. V. Chaudhary and R. V. Ramanujan, J. Phys. D: Appl. Phys. 48, 305003 (2015). 20. V. Chaudhary and R. V. Ramanujan, Magnetics Letters, IEEE 6, 6700104 (2015). 21. V. Chaudhary, D. V. Maheswar Repaka, A. Chaturvedi, I. Sridhar, and R. V. Ramanujan, J. Appl. Phys. 116, 163918 (2014). 22. V. Chaudhary, A. Chaturvedi, I. Sridhar, and R. V. Ramanujan, IEEE Magnetics Letters 5, 6800104 (2014). 23. Q. Li, W. Lian, H. Sun, and Y. Xuan, Int. J. Heat Mass Transfer 51, 5033 (2008). 24. I. Ennen, D. Kappe, T. Rempel, C. Glenske, and A. Hütten, Sensors 16, 904 (2016). 25. S. Singamaneni, V. N. Bliznyuk, C. Binek, and E. Y. Tsymbal, J. Mater. Chem. 21, 16819 (2011). 26. S. C. N. Tang and I. M. C. Lo, Water Res. 47, 2613 (2013). 27. M. Hua, S. Zhang, B. Pan, W. Zhang, L. Lv, and Q. Zhang, J. Hazard. Mater. 211–212, 317 (2012). 28. W. Yantasee, C. L. Warner, T. Sangvanich, R. S. Addleman, T. G. Carter, R. J. Wiacek, G. E. Fryxell, C. Timchalk, and M. G. Warner, Environ. Sci. Technol. 41, 5114 (2007). 29. J. L. Kirschvink, A. Kobayashi-Kirschvink, and B. J. Woodford, Proceedings of the National Academy of Sciences of the United States of America 89, 7683 (1992). 30. B. D. Cullity and C. D. Graham, “Introduction to Magnetic Materials.” Wiley, 2009. 31. B. Issa, I. Obaidat, B. Albiss, and Y. Haik, International Journal of Molecular Sciences 14, 21266 (2013). 32. S. P. Gubin, “Magnetic Nanoparticles.” Wiley-VCH, Weinhemim, p. 1, 2009. 33. G. Suresh and D. Rajan Babu, J. Alloys Compd. 509, 10145 (2011). 34. B.-H. Lee, Y. J. Lee, K. H. Min, D.-G. Kim, and Y. D. Kim, Mater. Lett. 59, 3156 (2005). 28 Magnetic Nanoparticles: Synthesis, Functionalization, and Applications 35. H.-Q. Wu, P.-S. Yuan, H.-Y. Xu, D.-M. Xu, B.-Y. Geng, and X.-W. Wei, Journal of Materials Science 41, 6889 (2006). 36. Z. H. Wang, C. J. Choi, B. K. Kim, J. C. Kim, and Z. D. Zhang, J. Alloys Compd. 351, 319 (2003). 37. Q. Li, H. Li, V. G. Pol, I. Bruckental, Y. Koltypin, J. CalderonMoreno, I. Nowik, and A. Gedanken, New J. Chem. 27, 1194 (2003). 38. Q. Wang, A. Wu, L. Yu, Z. Liu, W. Xu, and H. Yang, The Journal of Physical Chemistry C 113, 19875 (2009). 39. P. Raúl, O. Manuel, M. P. Morales, T. Pedro, O. N. Nuria, and J. S. Carlos, Nanotechnology 15, S190 (2004). 40. S. H. Huh, J. W. Jeong, Y. T. Jeon, J. Y. Moon, G. H. Lee, and J. Park, Int. J. Mod Phys B 20, 4413 (2006). 41. V. Tzitzios, G. Basina, D. Niarchos, W. Li, and G. Hadjipanayis, J. Appl. Phys. 109, 07A313 (2011). 42. D. Kodama, K. Shinoda, K. Sato, Y. Sato, B. Jeyadevan, and K. Tohji, J. Magn. Magn. Mater. 310, 2396 (2007). 43. U. R. Cho, Y. M. Lee, S. Kumar, C. G. Lee, and B. H. Koo, Science China-technological Sciences 52, 19 (2009). 44. N. A. Frey, S. Peng, K. Cheng, and S. Sun, Chem. Soc. Rev. 38 (2009). 45. J. Gao, H. Gu, and B. Xu, Acc. Chem. Res. 42, 1097 (2009). 46. R. Hao, R. Xing, Z. Xu, Y. Hou, S. Gao, and S. Sun, Adv. Mater. 22, 2729 (2010). 47. D. Kodama, K. Shinoda, K. Sato, Y. Sato, K. Tohji, and B. Jeyadevan, AIP Conference Proceedings 898, 126 (2007). 48. D. Kodama, K. Shinoda, K. Sato, Y. Sato, B. Jeyadevan, and K. Tohji, IEEE Transactions on Magnetics 42, 2796 (2006). 49. Z. Turgut, M.-Q. Huang, K. Gallagher, M. E. McHenry, and S. A. Majetich, J. Appl. Phys. 81, 4039 (1997). 50. B. Jeyadevan, K. Shinoda, R. J. Justin, T. Matsumoto, K. Sato, H. Takahashi, Y. Sato, and K. Tohji, IEEE Transactions on Magnetics 42, 3030 (2006). 51. C. Desvaux, P. Lecante, M. Respaud, and B. Chaudret, J. Mater. Chem. 20, 103 (2010). 52. R. J. Joseyphus, K. Shinoda, D. Kodama, and B. Jeyadevan, Mater. Chem. Phys. 123, 487 (2010). 53. H.-Q. Wu, Y.-J. Cao, P.-S. Yuan, H.-Y. Xu, and X.-W. Wei, Chem. Phys. Lett. 406, 148 (2005). 54. E. Lima, Jr., V. Drago, J. Cardoso de Lima, and P. F. Papaleo Fichtner, J. Alloys Compd. 396, 10 (2005). 55. H.-Q. Wu, D.-M. Xu, Q. Wang, Q.-Y. Wang, G.-Q. Su, and X.-W. Wei, J. Alloys Compd. 463, 78 (2008). 56. S. Gurmen, B. Ebin, S. Stopić, and B. Friedrich, J. Alloys Compd. 480, 529 (2009). 57. I. Ban, M. Drofenik, and D. Makovec, J. Magn. Magn. Mater. 307, 250 (2006). 58. X.-W. Wei, G.-X. Zhu, J.-H. Zhou, and H.-Q. Sun, Mater. Chem. Phys. 100, 481 (2006). 59. Y. Chen, X. Luo, G.-H. Yue, X. Luo, and D.-L. Peng, Mater. Chem. Phys. 113, 412 (2009). 60. G. S. Chaubey, C. Barcena, N. Poudyal, C. Rong, J. Gao, S. Sun, and J. P. Liu, J. Am. Chem. Soc. 129, 7214 (2007). 61. D. Kodama, K. Shinoda, R. Kasuya, K. Tohji, M. Doi, and J. Balachandran, J. Appl. Phys. 107, 09A320 (2010). 62. M. Seyedi, S. Haratian, and J. V. Khaki, Procedia Materials Science 11, 309 (2015). 63. T. Iwasaki, K. Kosaka, N. Mizutani, S. Watano, T. Yanagida, H. Tanaka, and T. Kawai, Mater. Lett. 62, 4155 (2008). 64. W. Wu, Z. Wu, T. Yu, C. Jiang, and W.-S. Kim, Science and Technology of Advanced Materials 16, 023501 (2015). 65. D. L. Huber, Small 1, 482 (2005). 66. J. Osuna, D. de Caro, C. Amiens, B. Chaudret, E. Snoeck, M. Respaud, J.-M. Broto, and A. Fert, J. Phys. Chem. 100, 14571 (1996). 67. M. Maicas, M. Sanz, H. Cui, C. Aroca, and P. Sánchez, J. Magn. Magn. Mater. 322, 3485 (2010). 68. T. Sourmail, Prog. Mater Sci. 50, 816 (2005). 69. P. Rochana and J. Wilcox, Surf. Sci. 605, 681 (2011). 70. D. Carta, G. Mountjoy, M. Gass, G. Navarra, M. F. Casula, and A. Corrias, The Journal of Chemical Physics 127, 204705 (2007). 71. B. Kandapallil, R. E. Colborn, P. J. Bonitatibus, and F. Johnson, J. Magn. Magn. Mater. 378, 535 (2015). 72. C. Xu, Y. Wang, H. Chen, D. Nie, and Y. Liu, Journal of Materials Science: Materials in Electronics 25, 1965 (2014). 73. A. Shokuhfar and S. S. S. Afghahi, Advances in Materials Science and Engineering 2014, 10 (2014). 74. P. Narayan, S. C. Girija, R. Chuan-Bing, C. Jun, and J. P. Liu, Nanotechnology 24, 345605 (2013). 75. Z. J. Huba, K. J. Carroll, and E. E. Carpenter, J. Appl. Phys. 109, 07B514 (2011). 76. C. Chinnasamy, J. Herr, R. Pai, B. Cui, W. Li, and J. F. Liu, J. Appl. Phys. 11, 07B539 (2012). 77. G. V. Kurlyandskaya, S. M. Bhagat, A. V. Bagazeev, A. I. Medvedev, A. Ballesteros, I. V. Beketov, and A. P. Safronov, J. Phys. Chem. Solids 98, 255 (2016). 78. G. V. Kurlyandskaya, A. P. Safronov, T. V. Terzian, N. S. Volodina, I. V. Beketov, L. Lezama, and L. M. Prieto, IEEE Magnetics Letters 6, 1 (2015). 79. G. V. Kurlyandskaya, I. Madinabeitia, A. M. Murzakaev, M. B. Sanchez-Ilarduya, V. Beketov, A. I. Medvedev, A. Larra, x00F, aga, A. P. Safronov, and N. N. Schegoleva, IEEE Transactions on Magnetics 50, 1 (2014). 80. N. S. Kanhe, A. Kumar, S. M. Yusuf, A. B. Nawale, S. S. Gaikwad, S. A. Raut, S. V. Bhoraskar, S. Y. Wu, A. K. Das, and V. L. Mathe, J. Alloys Compd. 663, 30 (2016). 81. H. Ucar, J. J. Ipus, V. Franco, M. E. McHenry, and D. E. Laughlin, JOM 64, 782 (2012). 82. R. Sato Turtelli, M. Atif, N. Mehmood, F. Kubel, K. Biernacka, W. Linert, R. Grössinger, C. Kapusta, and M. Sikora, Mater. Chem. Phys. 132, 832 (2012). 83. G. A. Sawatzky, F. Van Der Woude, and A. H. Morrish, J. Appl. Phys. 39, 1204 (1968). 84. Y. S. Kang, S. Risbud, J. F. Rabolt, and P. Stroeve, Chem. Mater. 8, 2209 (1996). 85. J. Gautier, E. Allard-Vannier, K. Hervé-Aubert, M. Soucé, and I. Chourpa, Nanotechnology 24, 432002 (2013). 86. J. Wang, J. Sun, Q. Sun, and Q. Chen, Mater. Res. Bull. 38, 1113 (2003). 87. Y.-H. Zheng, Y. Cheng, F. Bao, and Y.-S. Wang, Mater. Res. Bull. 41, 525 (2006). 88. T. J. Daou, G. Pourroy, S. Bégin-Colin, J. M. Grenèche, C. UlhaqBouillet, P. Legaré, P. Bernhardt, C. Leuvrey, and G. Rogez, Chem. Mater. 18, 4399 (2006). 89. W. Baaziz, B. P. Pichon, S. Fleutot, Y. Liu, C. Lefevre, J.-M. Greneche, M. Toumi, T. Mhiri, and S. Begin-Colin, J. Appl. Phys. C 118, 3795 (2014). 90. J. Park, E. Lee, N.-M. Hwang, M. Kang, S. C. Kim, Y. Hwang, J.-G. Park, H.-J. Noh, J.-Y. Kim, J.-H. Park, and T. Hyeon, Angew. Chem. Int. Ed. 44, 2872 (2005). 91. J. Mohapatra, A. Mitra, D. Bahadur, and M. Aslam, Cryst. Eng. Comm. 15, 524 (2013). 92. S. Sun and H. Zeng, J. Amer. Chem. Soc. 124, 8204 (2002). 93. S. Groiss, R. Selvaraj, T. Varadavenkatesan, and R. Vinayagam, J. Mol. Struct. 1128, 572 (2017). 94. S. Jahangiri and A. Akbarzadeh, Artificial Cells, Nanomedicine, and Biotechnology 44, 1733 (2016). 95. B. Leszczyński, G. C. Hadjipanayis, A. A. El-Gendy, K. Zał˛ eski, Z. Śniadecki, A. Musiał, M. Jarek, S. Jurga, and A. Skumiel, J. Magn. Magn. Mater. 416, 269 (2016). 96. J. M. D. Coey, “Magnetism and Magnetic Materials” Cambridge University Press, Cambridge, 2001. 97. E. Della Torre, L. H. Bennett, and Y. Jin, J. Magn. Magn. Mater. 324, 2189 (2012). Magnetic Nanoparticles: Synthesis, Functionalization, and Applications 98. S. Gu, Y. Jin, P. Chen, C. Yan, E. Della Torre, and L. H. Bennett, Physica B: Condensed Matter 407, 1372 (2012). 99. S. O. Demokritov, V. E. Demidov, O. Dzyapko, G. A. Melkov, A. A. Serga, B. Hillebrands, and A. N. Slavin, Nature 443, 430 (2006). 100. L. H. Bennett, E. Della Torre, P. R. Johnson, and R. E. Watson, J. Appl. Phys. 101, 09G103 (2007). 101. P. Guardia, A. Labarta, and X. Batlle, J. Phys. Chem. C 115, 390 (2011). 102. S. Sun, H. Zeng, D. B. Robinson, S. Raoux, P. M. Rice, S. X. Wang, and G. Li, J. Amer. Chem. Soc. 126, 273 (2004). 103. S.-h. Noh, W. Na, J.-t. Jang, J.-H. Lee, E. J. Lee, S. H. Moon, Y. Lim, J.-S. Shin, and J. Cheon, Nano Lett. 12, 3716 (2012). 104. G. Zhen, B. W. Muir, B. A. Moffat, P. Harbour, K. S. Murray, B. Moubaraki, K. Suzuki, I. Madsen, N. Agron-Olshina, L. Waddington, P. Mulvaney, and P. G. Hartley, J. Phys. Chem. C 115, 327 (2011). 105. S.-W. Chou, C.-L. Zhu, S. Neeleshwar, C.-L. Chen, Y.-Y. Chen, and C.-C. Chen, Chem. Mater. 21, 4955 (2009). 106. S. Larumbe, C. Gomez-Polo, J. I. Pérez-Landazábal, A. GarcíaPrieto, J. Alonso, M. L. Fdez-Gubieda, D. Cordero, and J. Gómez, J. Nanosci. Nanotechnol. 12, 2652 (2012). 107. M. A. Gabal and W. A. Bayoumy, Polyhedron 29, 2569 (2010). 108. N. Moghimi, F. R. Rahsepar, S. Srivastava, N. Heinig, and K. T. Leung, Journal of Materials Chemistry C 2, 6370 (2014). 109. C. Pereira, A. M. Pereira, C. Fernandes, M. Rocha, R. Mendes, M. P. Fernández-García, A. Guedes, P. B. Tavares, J.-M. Grenèche, J. P. Araújo, and C. Freire, Chem. Mater. 24, 1496 (2012). 110. Q. Song and Z. J. Zhang, J. Amer. Chem. Soc. 126, 6164 (2004). 111. C. de Montferrand, L. Hu, I. Milosevic, V. Russier, D. Bonnin, L. Motte, A. Brioude, and Y. Lalatonne, Acta Biomaterialia 9, 6150 (2013). 112. G. Salazar-Alvarez, J. Qin, V. Šepelák, I. Bergmann, M. Vasilakaki, K. N. Trohidou, J. D. Ardisson, W. A. A. Macedo, M. Mikhaylova, M. Muhammed, M. D. Baró, and J. Nogués, J. Amer. Chem. Soc. 130, 13234 (2008). 113. J.-H. Lee, Y.-M. Huh, Y.-W. Jun, J.-W. Seo, J.-T. Jang, H.-T. Song, S. Kim, E.-J. Cho, H.-G. Yoon, J.-S. Suh, and J. Cheon, Nat. Med. 13, 95 (2007). 114. B. Xavier and L. Amílcar, J. Phys. D: Appl. Phys. 35, R15 (2002). 115. D. A. Garanin and H. Kachkachi, Phys. Rev. Lett. 90, 065504 (2003). 116. F. Bødker, S. Mørup, and S. Linderoth, Phys. Rev. Lett. 72, 282 (1994). 117. L. H. Reddy, J. L. Arias, J. Nicolas, and P. Couvreur, Chem. Rev. 112, 5818 (2012). 118. D. T. Nguyen and K.-S. Kim, Korean Journal of Chemical Engineering 31, 1289 (2014). 119. S. Bagheri and N. M. Julkapli, J. Magn. Magn. Mater. 416, 117 (2016). 120. A. K. Gupta and M. Gupta, Biomaterials 26, 3995 (2005). 121. V. Patsula, M. Moskvin, S. Dutz, and D. Horák, J. Phys. Chem. Solids 88, 24 (2016). 122. F. Šulek, M. Drofenik, M. Habulin, and Ž. Knez, J. Magn. Magn. Mater. 322, 179 (2010). 123. A. K. Chaurasia, N. D. Thorat, A. Tandon, J.-H. Kim, S. H. Park, and K. K. Kim, Scientific Reports 6, 33662 (2016). 124. J. Yang, J. Wang, X. Li, D. Wang, and H. Song, Catalysis Science and Technology 6, 4525 (2016). 125. L. Huang, M. He, B. Chen, and B. Hu, Journal of Materials Chemistry A 3, 11587 (2015). 126. X. Li, J. Wei, K. E. Aifantis, Y. Fan, Q. Feng, F. Z. Cui, and F. Watari, Journal of Biomedical Materials Research—Part A 104, 1285 (2016). 127. L. Mohammed, H. G. Gomaa, D. Ragab, and J. Zhu, Particuology 29 128. C. G. Qian, S. Zhu, P. J. Feng, Y. L. Chen, J. C. Yu, X. Tang, Y. Liu, and Q. D. Shen, ACS Applied Materials and Interfaces 7, 18581 (2015). 129. A. Akbarzadeh, M. Samiei, and S. Davaran, Nanoscale Research Letters 7, 144 (2012). 130. S. K. Morcos, Br. J. Radiol. 80 (2007). 131. H. Ersoy and F. J. Rybicki, J. Magn. Reson. Imaging 26 (2007). 132. M. Chorny, E. Hood, R. J. Levy, and V. R. Muzykantov, J. Controlled Release 146, 144 (2010). 133. A. M. Tishin, Y. I. Spichkin, V. I. Zverev, and P. W. Egolf, International Journal of Refrigeration 68, 177 (2016). 134. T. Kobayashi, Biotechnology Journal 6, 1342 (2011). 135. A. Jordan, R. Scholz, K. Maier-Hauff, F. K. H. van Landeghem, N. Waldoefner, U. Teichgraeber, J. Pinkernelle, H. Bruhn, F. Neumann, B. Thiesen, A. Von Deimling, and R. Felix, Journal of Neuro-Oncology 78, 7 (2006). 136. M. Johannsen, U. Gneveckow, L. Eckelt, A. Feussner, N. Waldöfner, R. Scholz, S. Deger, P. Wust, S. A. Loening, and A. Jordan, International Journal of Hyperthermia 21, 637 (2005). 137. E. Alphandéry, S. Faure, O. Seksek, F. Guyot, and I. Chebbi, ACS Nano 5, 6279 (2011). 138. J. Kolosnjaj-Tabi, R. Di Corato, L. Lartigue, I. Marangon, P. Guardia, A. K. A. Silva, N. Luciani, O. Clément, P. Flaud, J. V. Singh, P. Decuzzi, T. Pellegrino, C. Wilhelm, and F. Gazeau, ACS Nano 8, 4268 (2014). 139. A. K. Parchur, A. A. Ansari, B. P. Singh, T. N. Hasan, N. A. Syed, S. B. Rai, and R. S. Ningthoujam, Integrative Biology 6, 53 (2014). 140. A. I. Prasad, A. K. Parchur, R. R. Juluri, N. Jadhav, B. N. Pandey, R. S. Ningthoujam, and R. K. Vatsa, Dalton Transactions 42, 4885 (2013). 141. P. Hugounenq, M. Levy, D. Alloyeau, L. Lartigue, E. Dubois, V. Cabuil, C. Ricolleau, S. Roux, C. Wilhelm, F. Gazeau, and R. Bazzi, J. Phys. Chem. C 116, 15702 (2012). 142. R. Hergt, R. Hiergeist, M. Zeisberger, D. Schüler, U. Heyen, I. Hilger, and W. A. Kaiser, J. Magn. Magn. Mater. 293, 80 (2005). 143. E. Alphandéry, C. Carvallo, N. Menguy, and I. Chebbi, J. Phys. Chem. C 115, 11920 (2011). 144. I. Sharifi, H. Shokrollahi, and S. Amiri, J. Magn. Magn. Mater. 324, 903 (2012). 145. E. Mazario, N. Menéndez, P. Herrasti, M. Cañete, V. Connord, and J. Carrey, J. Phys. Chem. C 117, 11405 (2013). 146. E. Cespedes, J. M. Byrne, N. Farrow, S. Moise, V. S. Coker, M. Bencsik, J. R. Lloyd, and N. D. Telling, Nanoscale 6, 12958 (2014). 147. A. E. Deatsch and B. A. Evans, J. Magn. Magn. Mater. 354, 163 (2014). 148. C. Guibert, V. Dupuis, V. Peyre, and J. Fresnais, J. Phys. Chem. C 119, 28148 (2015). 149. D. P. Brian, K. M. Shashi, and H. L. Laura, Reports on Progress in Physics 78, 016601 (2015). 150. M. Berger, J. Castelino, R. Huang, M. Shah, and R. H. Austin, Electrophoresis 22, 3883 (2001). 151. L.-b. Nie, X.-l. Wang, S. Li, and H. Chen, Anal. Sci. 25, 1327 (2009). 152. J. D. G. Durán, J. L. Arias, V. Gallardo, and A. V. Delgado, J. Pharm. Sci. 97, 2948. 153. J. L. Arias, V. Gallardo, S. A. Gómez-Lopera, R. C. Plaza, and A. V. Delgado, J. Controlled Release 77, 309 (2001). 154. J. Dobson, Drug Dev. Res. 67, 55 (2006). 155. L. Bai, Y. Du, J. Peng, Y. Liu, Y. Wang, Y. Yang, and C. Wang, Journal of Materials Chemistry B 2, 4080 (2014). 156. V. Franco, J. S. Blázquez, B. Ingale, and A. Conde, Annual Review of Materials Research 42, 305 (2012). 157. V. K. Pecharsky and J. K. A. Gschneidner, Phys. Rev. Lett. 78, 4494 (1997). 158. H. Ucar, PhD thesis, Carnegie Mellon University, 2013. 159. Dalton Trans. 44, 12796 (2015). 30 Magnetic Nanoparticles: Synthesis, Functionalization, and Applications 160. P. Álvarez, J. S. Marcos, P. Gorria, L. F. Barquín, and J. A. Blanco, J. Alloys Compd. 504, (Supplement 1), S150 (2010). 161. C. Aprea, A. Greco, A. Maiorino, and C. Masselli, Journal of Physics: Conference Series 655, 012026 (2015). 162. S. K. Çetin, M. Acet, M. Güneş, A. Ekicibil, and M. Farle, J. Alloys Compd. 650, 285 (2015). 163. V. Chaudhary, X. Chen, D. Maheswar, A. Chaturvedi, Z. Wang, and R. Ramanujan, High relative cooling power iron based magnetocaloric nanoparticles, THERMAG VI 2014. 164. X. Chen, V. B. Naik, R. Mahendiran, and R. V. Ramanujan, J. Alloys Compd. 618, 187 (2015). 165. A. Dhahri, F. I. H. Rhouma, S. Mnefgui, J. Dhahri, and E. K. Hlil, Ceram. Int. 40, 459 (2014). 166. R. L. Hadimani, S. Gupta, S. M. Harstad, V. K. Pecharsky, and D. C. Jiles, IEEE Transactions on Magnetics 51 (2015). 167. J. J. Ipus, H. Ucar, and M. E. McHenry, IEEE Transactions on Magnetics 47, 2494 (2011). 168. S. Jun, G. Bo, D. Qiao-Yan, L. Yang-Xian, H. Feng-Xia, S. Ji-Rong, and S. Bao-Gen, J. Phys. D: Appl. Phys. 41, 245005 (2008). 169. M. Kumaresavanji, C. T. Sousa, A. Pires, A. M. Pereira, A. M. L. Lopes, and J. P. Araujo, Appl. Phys. Lett. 105, 083110 (2014). 170. J. Li, J. Y. Law, H. Ma, A. He, Q. Man, H. Men, J. Huo, C. Chang, X. Wang, and R. W. Li, J. Non-Cryst. Solids 425, 114 (2015). 171. D. V. Maheswar Repaka, T. S. Tripathi, M. Aparnadevi, and R. Mahendiran, J. Appl. Phys. 112, 123915 (2012). 172. G. Pedro, L. S. L. José, Á. Pablo, P. María José, M. Jorge Sánchez, and A. B. Jesús, J. Phys. D: Appl. Phys. 41, 192003 (2008). 173. Y. Z. Shao, J. K. L. Lai, and C. H. Shek, J. Magn. Magn. Mater. 163, 103 (1996). 174. O. Tegus, E. Bruck, K. H. J. Buschow, and F. R. de Boer, Nature 415, 150 (2002). 175. H. C. Tian, X. C. Zhong, Z. W. Liu, Z. G. Zheng, and J. X. Min, Mater. Lett. 138, 64 (2015). 176. H. Ucar, J. J. Ipus, M. E. McHenry, and D. E. Laughlin, Journal of Metals 64, 782 (2012). 177. Y. Wang and X. Bi, Appl. Phys. Lett. 95, 262501 (2009). 178. B. F. Yu, Q. Gao, B. Zhang, X. Z. Meng, and Z. Chen, International Journal of Refrigeration 26, 622 (2003). 179. H. Zhang, R. Li, T. Xu, F. Liu, and T. Zhang, J. Magn. Magn. Mater. 347, 131 (2013). 180. S. Randalls, Wiley Interdisciplinary Reviews: Climate Change 1, 598 (2010). 181. J. Rogelj, D. L. McCollum, A. Reisinger, M. Meinshausen, and K. Riahi, Nature 493, 79 (2013). 182. G. J. M. Velders, D. W. Fahey, J. S. Daniel, M. McFarland, and S. O. Andersen, Proceedings of the National Academy of Sciences, USA 106, 10949 (2009). 183. M. K. A. V. GmbH. 184. B. Ekkes, J. Phys. D: Appl. Phys. 38, R381 (2005). 185. R. V. Ramanujan and V. Chaudhary, Self pumping magnetic cooling, Patent application number 101201606477V, 2016. 186. R. E. Rosenweig, “Ferrohydrodynamics.” Cambridge University Press, 1985. 187. R. E. Rosensweig, International Journal of Refrigeration 29, 1250 (2006). 188. Á. Pablo, G. Pedro, F. Victorino, M. Jorge Sánchez, J. P. María, L. S. L. José, O. Inés Puente, and A. B. Jesús, J. Phys.: Condens. Matter 22, 216005 (2010). 189. C. F. Sánchez-Valdés, P. J. Ibarra-Gaytán, J. L. S. Llamazares, M. Ávalos-Borja, P. Álvarez-Alonso, P. Gorria, and J. A. Blanco, Appl. Phys. Lett. 104, 212401 (2014). 190. H. Ucar, J. J. Ipus, D. E. Laughlin, and M. E. McHenry, J. Appl. Phys. 113, 17A918 (2013). 191. H. Ucar, M. Craven, D. E. Laughlin, and M. E. McHenry, J. Electron. Mater. 43, 137 (2014). 192. V. Chaudhary, A. Chaturvedi, I. Sridhar, and R. V. Ramanujan, IEEE Magnetics Letters 5 (2014). 193. P. Alvarez-Alonso, J. L. Sánchez Llamazares, C. F. Sánchez-Valdés, G. J. Cuello, V. Franco, P. Gorria, and J. A. Blanco, J. Appl. Phys. 115, 17A929 (2014). 194. P. Álvarez-Alonso, P. Gorria, J. A. Blanco, J. Sánchez-Marcos, G. J. Cuello, I. Puente-Orench, J. A. Rodríguez-Velamazán, G. Garbarino, I. de Pedro, J. R. Fernández, and J. L. Sánchez Llamazares, Physical Review B 86, 184411 (2012). 195. Á.-A. Pablo, G. Pedro, M. Jorge Sánchez, L. S. L. José, and A. B. Jesús, J. Phys.: Condens. Matter 25, 496010 (2013). 196. U. T. Jaka Tušek, Andrej Kitanovski, Uroš Plaznik, Marko Ožbolt and Alojz Poredoš, “Magnetocaloric Energy Conversion,” Springer International Publishing Switzerland, 2015. 197. L. J. Love, J. F. Jansen, T. E. McKnight, Y. Roh, and T. J. Phelps, NanoBioscience, IEEE Transactions 3, 101 (2004). 198. L. Love, J. Jansen, and T. McKnight, (Google Patents, 2006). 199. R. Ganguly, S. Sen, and I. K. Puri, Physics of Fluids 16, 2228 (2004). 200. A. Mukhopadhyay, R. Ganguly, S. Sen, and I. K. Puri, Int. J. Heat Mass Transfer 48, 3485 (2005). 201. W. Lian, Y. Xuan, and Q. Li, Int. J. Heat Mass Transfer 52, 5451 (2009). 202. W. Lian, Y. Xuan, and Q. Li, Energy Convers. Manage. 50, 35 (2009). 203. Y. Xuan and W. Lian, Appl. Therm. Eng. 31, 1487 (2011). 204. S. Pal, A. Datta, S. Sen, A. Mukhopdhyay, K. Bandopadhyay, and R. Ganguly, J. Magn. Magn. Mater. 323, 2701 (2011). 205. H. Rahman and S. A. Suslov, J. Fluid Mech. 764, 316 (2015). 206. V. Chaudhary and R. V. Ramanujan, J. Phys. D: Appl. Phys. (2016) in press. 207. V. Chaudhary, Study of iron based magnetocaloric nanomaterials, Nanyang Technological University, Singapore 2014. 208. Y.-H. Wang, C.-M. Yu, Z.-Q. Pan, Y.-F. Wang, J.-W. Guo, and H.-Y. Gu, Microchimica Acta 180, 659 (2013). 209. S. W. Phang, M. Tadokoro, J. Watanabe, and N. Kuramoto, Polym. Adv. Technol. 20, 550 (2009). 210. A. R. Kiasat and J. Davarpanah, Res. Chem. Intermed. 41, 2991 (2015). 211. F. K. Esfahani, D. Zareyee, and R. Yousefi, Chem. Cat. Chem. 6, 3333 (2014). 212. E. Dezfoolinezhad, K. Ghodrati, and R. Badri, New J. Chem. 40, 4575 (2016). 213. A. Chen, P. Ju, Y. Zhang, J. Chen, H. Gao, L. Chen, and Y. Yu, RSC Advances 6, 96455 (2016). 214. X. Yu, G. Cheng, and S.-Y. Zheng, Scientific Reports 6, 25459 (2016). 215. Y. Moliner-Martinez, Y. Vitta, H. Prima-Garcia, R. A. GonzálezFuenzalida, A. Ribera, P. Campíns-Falcó, and E. Coronado, Analytical and Bioanalytical Chemistry 406, 2211 (2014). 216. W. Chen, P. Yi, Y. Zhang, L. Zhang, Z. Deng, and Z. Zhang, ACS Applied Materials and Interfaces 3, 4085 (2011). 217. R. B. Nasir Baig and R. S. Varma, RSC Advances 4, 6568 (2014). 218. S. N. Shelke, S. R. Bankar, G. R. Mhaske, S. S. Kadam, D. K. Murade, S. B. Bhorkade, A. K. Rathi, N. Bundaleski, O. M. N. D. Teodoro, R. Zboril, R. S. Varma, and M. B. Gawande, ACS Sustainable Chemistry and Engineering 2, 1699 (2014). 219. Y. Long, K. Liang, J. Niu, X. Tong, B. Yuan, and J. Ma, New J. Chem. 39, 2988 (2015). 220. S. Sa, M. B. Gawande, A. Velhinho, J. P. Veiga, N. Bundaleski, J. Trigueiro, A. Tolstogouzov, O. M. N. D. Teodoro, R. Zboril, R. S. Varma, and P. S. Branco, Green Chemistry 16, 3494 (2014). 221. R. K. Sharma, S. Dutta, S. Sharma, R. Zboril, R. S. Varma, and M. B. Gawande, Green Chemistry 18, 3184 (2016). 222. J. Hu, I. M. C. Lo, and G. Chen, Water Sci. Technol. 50, 139 (2004). 223. J. Hu, G. Chen, and I. M. C. Lo, Water Res. 39, 4528 (2005). Magnetic Nanoparticles: Synthesis, Functionalization, and Applications 224. K. D. Grieger, A. Fjordbøge, N. B. Hartmann, E. Eriksson, P. L. Bjerg, and A. Baun, J. Contam. Hydrol. 118, 165 (2010). 225. Y. Wanna, A. Chindaduang, G. Tumcharern, D. Phromyothin, S. Porntheerapat, J. Nukeaw, H. Hofmann, and S. Pratontep, J. Magn. Magn. Mater. 414, 32 (2016). 226. J.-F. Liu, Z.-S. Zhao, and G.-B. Jiang, Environ. Sci. Technol. 42, 6949 (2008). 227. X. Lu, S. Deng, B. Wang, J. Huang, Y. Wang, and G. Yu, J. Colloid Interface Sci. 474, 199 (2016). 228. S. Yean, L. Cong, C. T. Yavuz, J. T. Mayo, W. W. Yu, A. T. Kan, V. L. Colvin, and M. B. Tomson, J. Mater. Res. 20, 3255 (2005). 229. J. Hu, I. M. C. Lo, and G. Chen, Sep. Purif. Technol. 58, 76 (2007). 230. S. R. Chowdhury and E. K. Yanful, Journal of Environmental Management 91, 2238 (2010). 231. S. Rajesh Kumar, V. Jayavignesh, R. Selvakumar, K. Swaminathan, and N. Ponpandian, J. Colloid Interface Sci. 484, 183 (2016). 31 232. M. Habuda-Stanić and M. Nujić, Environmental Science and Pollution Research 22, 8094 (2015). 233. H. Rashidi Nodeh, W. A. Wan Ibrahim, I. Ali, and M. M. Sanagi, Environmental Science and Pollution Research 23, 9759 (2016). 234. R. Lakshmanan, C. Okoli, M. Boutonnet, S. Järås, and G. K. Rajarao, Bioresour. Technol. 129, 612 (2013). 235. X. Lu, R. Wang, Y. Bai, J. Chen, and J. Sun, Journal of Materials Chemistry A 3, 12031 (2015). 236. W. Li, Z. Liang, Z. Lu, X. Tao, K. Liu, H. Yao, and Y. Cui, Nano Lett. 15, 7394 (2015). 237. P. L. Taberna, S. Mitra, P. Poizot, P. Simon, and J. M. Tarascon, Nat. Mater. 5, 567 (2006). 238. G. Gao, Q. Zhang, X.-B. Cheng, J. G. Shapter, T. Yin, R. Sun, and D. Cui, Scientific Reports 5, 17553 (2015). 239. Y. Zou, J. Kan, and Y. Wang, J. Phys. Chem. C 115, 20747 (2011). Record detail page 1 of 2 http://172.16.14.200/ipms04/details.aspx?id=2015122157450 IP GROUP>IPMS >Record detail Level 1:Core information Record no 2015122157450 Activity status Active Working Title SOLID BASE CATALYZED DEPOLYMERIZATION OF LIGNIN Working Inventors PARESH LAXMIKANT DHEPE;RICHA KUMARI; Email address of corresponding inventor pl.dhepe@ncl.res.in Contributing institutions NCL Administered by CSIR Ownership Categories > Subjects Hybrid and inorganic materials Categories > Portfolio Value addition of bioresources, renewable polymers Disclosure number 2015-INV-0130 Disclosure date 12/17/2015 Level 2:Decision and sending to IPMD NCL No 2016-NCL-0003 Date sent to IPMD 1/22/2016 Filing recommendation Provisional filing PCT recommendation Yes Notes on recommendation Level 3:Action by CSIR CSIR No 2016-NF-0020 CSIR case manager ID Priority date 3/4/2016 Level 4:Patent applications filed Country IN Divisional? Note on divisional Designated country Application number 201611007650 Provisional filing date 3/4/2016 Complete filing date 3/3/2017 Publication status Not published Publication date Publication no Granted number Granted date Final title AN IMPROVED HETEROGENEOUS BASE CATALYZED PROCESS FOR DEPOLYMERIZATION OF LIGNIN Final Inventors PARESH LAXMIKANT DHEPE;RICHA KUMARI; Abstract Level 5:Status and history Case status Complete specification filed Notes(correspondence) Level 6:Licensing Licensing status Notes(licensing) Licensing case no License date 09-04-2018, 05:44 PM