Research Article | Open Access
Characterization of Magnetic Nanoparticles Coated with Chitosan: A Potential Approach for Enzyme Immobilization
Cross-linking of magnetic nanoparticles with proteins plays a significant role in the preparation of new materials for biotechnological applications. The aim was the maximization of the magnetic mass attracted and protein loading of magnetic iron oxide nanoparticles coated with chitosan, synthesized in a single step by alkaline precipitation. Chitosan-coated magnetite particles (Fe3O4@Chitosan) were cross-linked to a xylanase and a cellulase (Fe3O4@Chitosan@Proteins), showing a 93% of the magnetic saturation of the magnetite. X-ray diffraction pattern in composites corresponds to magnetite. Thermogravimetry and differential scanning calorimetry showed that 162 mg of chitosan was coating one gram of composite and 12 mg of protein was cross-linked to each gram of magnetic support. Cross-linking between enzymes and Fe3O4@Chitosan was confirmed by infrared spectroscopy with Fourier transform, X-ray energy, and X-ray photoelectron spectroscopy dispersion analysis. From dynamic light scattering, transmission and electron microscopy the average particle size distribution was 230 nm and 430 nm for Fe3O4@Chitosan and Fe3O4@Chitosan@Proteins, showing agglomerates of individual spherical particles, with an average diameter of 8.5 nm and 10.8 nm, respectively. The preparation method plays a key role in determining the particle size and shape, size distribution, surface chemistry, and, therefore, the applications of the superparamagnetic nanoparticles.
Magnetic nanoparticles (MNP) have been extensively studied because of their biotechnological applications, especially biomedical and protein/enzyme immobilization . MNP are composed of magnetic elements (iron, nickel, or cobalt) and their oxides, that is, magnetite (Fe3O4), maghemite (γ-Fe2O3), and cobalt ferrite (CoFe2O4) . Amid all varieties, superparamagnetic nanoparticles of Fe3O4 are the most commonly used iron oxides due to biocompatibility, low toxicity (can be used safely in humans if the concentrations are maintained below 100 mg/mL), favorable magnetic properties, and null retention of residual magnetism [3, 4]. However, Fe3O4 and γ-Fe2O3 can easily be air oxidized, losing their magnetic property . This issue can be solved by coating the surface with artificial (polyethylene, polyvinylpyrrolidone, polyethylene glycol, polyvinyl alcohol, etc.) or natural (dextran, amylopectin, chitosan, etc.) materials. Besides, the incorporation of MNP into a chitosan network may improve its biocompatibility making the resultant nanoparticles suitable for biomedical applications such as protein immobilization, drug delivery systems, wound healing, tissue engineering, and magnetic resonance imaging . Many enzymes that have a great deal of industrial potential require the application of genetic engineering techniques in order to improve their production. However, the production of recombinant enzymes is often expensive, with the enzymes being generally unstable and sensitive to changes in process conditions such as pH, temperature, and substrate concentrations . These limitations can be minimized or even eliminated with enzyme immobilization . Covalent binding of enzymes on coated magnetic nanoparticle carriers provides strong linkages between the enzyme and carrier, enzyme leaching in aqueous media is minimized, and no protein contamination of the product occurs . Moreover, chemical cross-linking of structural biopolymers and proteins plays a significant role in the preparation of new materials. In order to design biomaterials that are nontoxic and biocompatible, the use of natural heterocyclic compounds isolated from plants such as genipin has been described . Additionally, the biocatalyzer can be separated from the reaction by magnetism, preventing loss of particles and providing high mechanical resistance, thermal stability, and resistance against chemical and microbial degradation . Furthermore, nanomaterials possessing ideal physicochemical characteristics, such as mass transfer resistance, high specific surface area, and efficient enzyme loading, can be applied as novel and interesting scaffolds for enzyme immobilization . There are some reports showing efforts to unveil the properties and characteristics of new hybrid materials with an organic/inorganic composition seeking future prospects for industrial applications of immobilized enzymes requiring nonharmful or toxic agents [7, 13]. In addition, response surface methodology (RSM) technique can be used to analyze interactions of significant experimental factors and to determine the optimum response area of the tested factors, minimizing the number of experimental trials .
The aim of the present work was the single step synthesis of magnetic iron oxide nanoparticles coated with chitosan maximizing both the magnetic mass attracted and protein. The synthesized magnetic composite was cross-linked to two proteins using genipin as natural cross-linker, and the structural characterization was evaluated. Two hydrolytic enzymes were used as protein model in order to evaluate the protein loading and the effect of cross-linker with the composite.
2. Materials and Methods
Genipin (90% purity) was purchased from Guangxi SYBiochemical Science & Technology Co., Liuzhou, Guangxi, China. Dyadic Xylanase 2XP CONC (EC 18.104.22.168 endo-1,4-β-xylanase from Trichoderma longibrachiatum) was purchased from Dyadic International Inc, Jupiter, FL, USA. Cellulase (endo-β-glucanase from Trichoderma viride 3–10 units/mg), low molecular weight chitosan (50–190 kDa, 75–85% deacetylated), and all chemicals were of analytical grade and purchased from Sigma-Aldrich (St. Louis, MO, USA), except those indicated. Xylanase and cellulase were used as model proteins to assess the protein loading assays, and the effect of cross-linking over enzymatic activity will be discussed in another manuscript.
2.2. Preparation of Chitosan-Coated Magnetite Particles (Fe3O4@Chitosan)
The chitosan-coated magnetite particles were prepared by in situ coprecipitation of iron salts in a polymer template. An amount of 3.6 × 10−3 moles of iron from a mixture in a molar ratio 2 : 1 (Fe3+ : Fe2+) of ferric nitrate and ferrous sulfate added with varying amounts of chitosan (0.5 to 1.5% ) was mixed at 100 rpm in 3% () acetic acid at 70°C. The solid content remained constant by adjusting solution volume. The chitosan-iron solution was dispersed by an ultrasonic processor (70% amplitude, VC505, Sonics & Materials, Newtown, CT, USA) at different times (3 to 10 min) to promote better distribution of compounds. Thereafter, the generated chitosan-iron solution was precipitated by adding a solution of 20% () NaOH : 96% () ethanol in 4 : 1 volume ratio. Subsequently, the alkaline mixture was homogenized using a vortex for 30 s and then was kept under gentle shaking (60 rpm) for 18 h. The precipitate was recovered by centrifugation for 5 min at 7000 ×g (Eppendorf, Mod. 5804R, Hamburg, Germany) and washed with a mixture of 50 mM phosphate buffer pH 7.0 and 96% () ethanol in 1 : 1 volume ratio, until neutralization. The neutralized solids were oven dried at 80°C for 5 h and ground to a fine powder using a mortar and pestle. The solid yield (% ) from the synthesis reaction was determined by multiplying 100 the weight ratio of final : initial solids.
2.3. Enzyme Immobilization
300 mg of Fe3O4@Chitosan suspended in 45 mg/mL of a mixture of xylanase and cellulase in a weight ratio 1 : 0.5 was cross-linked with genipin (0.01 to 0.1% ) in 50 mM acetate buffer pH 4.5. The reaction mixture was vortexed (Corning, Thermo Fisher Scientific, Hampton, NH, USA) every 10 min during one hour at room temperature (25 ± 1°C). Then, the cross-linked magnetite composite (Fe3O4@Chitosan@Proteins) was separated from the reaction mixture by an external permanent neodymium magnet (1.2 T), washed once with ethanol 70% and then two times with Milli-Q water, and dried under vacuum at 60°C. The amount of chitosan, genipin, and sonication time were used as variables to maximize the response (Table 1), as described in a custom design of response surface methodology (Minitab 16.2.4, 2013, Minitab Inc., State College, PA, USA). The effect of variables on the response could be described as a second order polynomial. where is the predicted response used as a dependent variable, and are the levels of variables, is the constant term, is the coefficient of the linear terms, is the coefficient of the quadratic terms, and is the coefficient of the cross-product terms . The amount of immobilized protein on the magnetite composite (Fe3O4@Chitosan@Proteins) was determined by subtracting the final from the initial concentration of protein in the immobilization medium. Protein content was measured using the Bradford  protein assay with bovine serum albumin as standard. The mass of magnetite composite attracted by a permanent ferric magnet (0.39 T) was measured by weight (defined as mass attracted). The protein loading and the mass of magnetite composite attracted were reported relative to maximum values as relative protein loading (PL, % ) and relative mass attracted (MA, % ). The mean value PLMA [(PL + MA) × 0.5] of these two response variables was maximized using the optimization software. The results were evaluated by analysis of variance (ANOVA) at a significance level , and the optimized empirical model was confirmed by three replicates. The regression standard error () and determination coefficient () were used to evaluate the significance of the model. Preliminary experiments were conducted to evaluate the effect of 1 : 1, 1 : 2, and 2 : 1 molar ratio of iron Fe3+ : Fe2+, whereas xylanase : cellulase weight ratios of 1 : 1, 0.5 : 1, and 1 : 0.5 were also tested (data not shown).
PLMA: [(PL + MA) × 0.5] ± standard deviation () of relative protein loading and relative mass attracted.
All structural characterizations were conducted on the optimized composite. The magnetic properties of composites were determined at room temperature (27°C) with a maximum field of ±50 kOe using a MPMS-XL with a SQUID detector (Quantum Design, San Diego, CA, USA). Functional groups on the surface of the composites Fe3O4@Chitosan, Fe3O4@Chitosan@Proteins, and free enzymes were investigated by Fourier transform infrared (FTIR) spectrometry. A spectrometer (Perkin-Elmer, Waltham, MA, USA) fitted with a universal attenuated total reflectance accessory (U-ATR, Shelton, CT, USA) was used. Samples were scanned at wave number range of 4000–550 cm−1 with a resolution of 4 cm−1. The thermogravimetric analysis (TGA) and differential scanning calorimetry (DSC) for composites and the free enzymes were performed by a simultaneous TGA-DSC/DTA analyzer NETZSCH-STA 449 F1 Jupiter (Burlington, MA, USA) and a Perkin Elmer DSC 8500 LAB SYS calorimeter. Thermal degradation was performed at a heating rate of 10°C/min from 25 to 600°C under argon atmosphere. X-ray diffraction patterns (XRD) of the Fe3O4@Chitosan composite before and after enzyme immobilization were recorded on a rotating anode X-ray powder diffractometer at 40 kV, 30 mA (Rotaflex model RU-200B by Rigaku, Tokyo, Japan) with a CuKα ( Å) source. Samples were scanned from 3° to 90° (2θ) at a scanning rate of 3°/min. The unit cell parameter of crystal structure was calculated from the peak having the highest intensity using where is the interplanar distance and can be obtained from the Bragg law, are the Miller indices of the crystallographic planes, and is the cell parameter. Particle size distribution of Fe3O4@Chitosan and Fe3O4@Chitosan@Proteins dispersed in absolute ethanol was determined by dynamic light scattering (DLS) using a Zetasizer Nano ZS, Malvern Instruments (Worcestershire, UK). Morphology of composites was characterized at 120 kV with a JEOL 1210 transmission electron microscope (TEM) (Jeol, Tokyo, Japan). The Digital Micrograph software (Gtan, Pleasanton, CA, USA) was used to determine the particle size in the TEM images. Samples were prepared by depositing one drop of 1 mg of sonicated (10 min) magnetic composites in 1 mL ethanol and placed in Cu grids. The average particle diameter was determined by measuring 25 individual particles from 5 TEM micrographs. The morphology of Fe3O4@Chitosan composite before and after enzyme immobilization was studied by scanning electron microscopy (SEM) in high vacuum mode (Quanta 200 FEG-ESEM, Fei Company, Hillsboro, OR, USA) coupled with energy dispersive X-ray (EDX) for measuring elemental composition. Surface chemical composition of the composites was evaluated by X-ray photoelectron spectroscopy (XPS) at room temperature with a Specs Phoibos 150 hemispherical analyzer (Specs GmbH, Berlin, Germany) using an Al-Kα X-ray source (1486.6 eV).
3. Results and Discussion
3.1. Preparation of Chitosan-Coated Magnetite Particles and Enzyme Immobilization
The proposed method of preparing superparamagnetic nanoparticles coated in situ with chitosan was based on coprecipitation of Fe2+ : Fe3+ salt solution under alkaline conditions combined with a sonication treatment maximizing protein loading and mass attraction using the RSM. A limited number of studies have employed RSM approaches to synthesize magnetic nanoparticles coated with chitosan aimed at maximizing the protein loading and mass attracted by magnetism. The yield of solids of the synthesis reaction of magnetic composites after cross-linking was 57.4 ± 5.1% . The estimated regression coefficients for PLMA were statistically significant except quadratic terms for sonication and cross-linker () (Table 1).
The regression standard error () = 1.5% indicates a good fit of the regression model. represents the standard distance to which data values are located relative to the regression line or the standard deviation of the residuals. The predicted sum of squares (PRESS) = 58.2 indicates the predictive ability of the model and is used to calculate predicted. In general, the smaller the PRESS value, the better the model’s predictive ability. value was 98.5% indicating the percentage of variation of the response variable explained by its relation to one or more predictor variables. (predicted) = 96.7% suggests a large predictive capacity of the model. (adjusted) = 97.4% is the percentage of response variable variation explained by its relationship with one or more predictor variables, adjusted for the number of predictors in the model. In general, the closer the to 100%, the better the model adjustment to the data. From the analysis of variance (ANOVA, Table 2), it suggests curvature on the response surface (Figure 1). The expected model could be represented by where ; ; and -linker.
Confirmatory experiments gave a PLMA value of 95.1 ± 7.6% () using the predicted global solution of response optimization with chitosan = 0.5% , sonication = 10 min, and cross-linker = 0.01% , in agreement with the predicted value. The curve in Figure 1 showed a positive effect on PLMA value when longer sonication time and lower concentrations of both chitosan and genipin were used.
It was expected that ultrasonic treatment could promote low Fe3O4 crystal sizes and homogeneous distribution inside the polymeric matrix of chitosan, to obtain more composite mass able of attraction by an external magnet. In addition, application of higher ultrasound energy (10 min) to samples containing low amounts of chitosan (0.5% ) could produce smaller particles providing multiple protein anchor points through the cross-linking agent. Besides, the extent of cross-linking between protein and genipin can be high (about 80–86%) even at low genipin addition . A limited number of studies have employed RSM approaches to optimize the generation of magnetic nanoparticles for enzyme immobilization. RSM keeps the number of experiments to a minimum for a relatively large number of significant factors as compared to those involving the simple, time consuming “one factor at a time” design .
The procedure shown in this work is fast and simple and requires no harmful chemicals as previously described [2, 19], despite the inclusion of a sonication process. Nanobiocatalysts combining enzymes and nanocarriers are drawing increased attention because of their high catalytic performance, enhanced stability, improved enzyme-substrate affinity, and reusability [20–22]. Genipin is a heterocycle of natural origin used as a nontoxic chemical for cross-linking of proteins and polysaccharides . Thus, genipin is widely used to replace glutaraldehyde and formaldehyde as a biological cross-linking agent for proteins due to about 10,000 times less toxic . Therefore, the composite synthesized can be used in such applications where safety issues are important as food or pharmaceuticals. Therefore, the composite synthesized can be used in applications where safety issues are important such as food or pharmaceutical industry. A perspective for food or pharmaceutical applications is the hydrolysis of residues (xylo- and cello-oligossaccharides).
As shown in Figure 2, the magnetic hysteresis loops recorded at 27°C revealed that whole sample of Fe3O4@Chitosan, Fe3O4@Chitosan@Proteins, and Fe3O4 particles had a magnetization saturation value of 57 emu/g, 55 emu/g, and 59 emu/g, respectively, using 50 kOe of magnetic field.
Practically zero remanence (0.3197 emu/g, 1.038 emu/g, and 1.328 emu/g for Fe3O4, Fe3O4@Chitosan, and Fe3O4@Chitosan@Proteins, resp.) and scarce coercivity (3.724 Oe, 13.772 Oe, and 17.360 Oe for Fe3O4, Fe3O4@Chitosan, and Fe3O4@Chitosan@Proteins, resp.) were detected in the samples. These values indicated that magnetic composites maintained the superparamagnetic behavior of the Fe3O4 particles, suggesting barely magnetic behavior in the absence of an external magnetic field, but mean magnetic moment development in an external magnetic field, but they develop a mean magnetic moment in an external magnetic field [3, 19]. The magnetization of coated magnetite was weaker than uncoated Fe3O4 as expected, because of the presence of chitosan and enzymes. The saturation magnetization values are consistent with those reported in the literature for magnetite nanoparticles [2, 9, 21]. Most biological materials including enzymes and chitosan exhibit diamagnetic or nonmagnetic properties. Thus, selective magnetic separation can be achieved using magnetically responsive immobilized enzymes from biological mixtures [12, 13].
To further evaluate the enzyme cross-linking on the surface of Fe3O4@Chitosan, their FTIR spectra were also obtained. The FTIR spectra of chitosan and Fe3O4 are well documented [23, 24]. Figure 3 shows the FTIR spectra obtained for Fe3O4@Chitosan, Fe3O4@Chitosan@Proteins, and free enzymes.
The spectrum of the enzymes showed signals around 2940 cm−1, corresponding to C-H bonds in CH2 and CH3 groups, as well as a signal at 3300 cm−1 assigned to the OH bonds. The bands between 1350 cm−1 and 1650 cm−1 are related to amine groups (NH2) present in both chitosan and enzymes. Signals between 1900 cm−1 and 1200 cm−1 which correspond to C-O bonds in the enzymes were diminished after cross-linking with Fe3O4@Chitosan. Some of the signals that were identified below 1000 cm−1 can be assigned to C-C bonds. Typical bands below 700 cm−1 identified as Fe-O bonds characteristic of magnetite were observed in all spectra around 570 cm−1. In addition, the change in intensity as well as the displacement of the NH2, C-O, and Fe bands after cross-linking suggests the formation of covalent bonds between enzymes and Fe3O4@Chitosan [21, 25]. However, inconclusive reports about the molar ratio of chitosan/genipin or the molar ratio between reacted amino groups and free amino groups of chitosan can be found in the literature, despite the extremely good analytical instrumentation available .
The thermal properties of particles were evaluated by TGA and DSC. TGA of all samples was performed in the range 25–600°C: the enzyme stability can be observed in the 25–150°C interval. The weight loss curves of coated and uncoated MNPs, free enzymes, and immobilized enzyme MNPs are shown in Figure 4.
The thermal degradation of all the samples displays three main stages in the temperature range of 25–600°C. In a first stage, the thermogram profiles of Fe3O4@Chitosan and Fe3O4@Chitosan@Proteins show similar weight loss behavior, of approximately 1.4% at temperatures ranging from 65 to 120°C. Also, a weight loss of 2.3%, 2.5%, and 2.3% was observed for xylanase, cellulase, and Fe3O4, respectively, under the same temperature range. This loss of weight in the first stage is mainly due to the loss of low molecular mass compounds, mainly adsorbed and partly bound water. Additionally, Fe3O4@Chitosan and Fe3O4@Chitosan@Proteins show a first change in heat flow associated with thermal transitions at 39°C and 41°C, slightly higher than xylanase 38°C, cellulase 30°C, and Fe3O4 35°C. Furthermore, all samples except Fe3O4@Chitosan@Proteins and Fe3O4 show an exothermic signal associated with structural changes or bond breaking, whereas the endothermic behavior is associated with the absorption of energy probably due to protein denaturation. A further temperature increase to 120–300°C in a second stage results in a total weight loss of 12.9%, 40.5%, 39.6%, 86.7%, and 96.2% for Fe3O4, Fe3O4@Chitosan, Fe3O4@Chitosan@Proteins, cellulase, and xylanase, respectively. This process corresponds to the degradation of the chitosan, genipin, proteins, and structurally bound water. The third stage with the highest degradation rate at about 300–600°C is the complete degradation of organic compounds. The difference in mass between Fe3O4@Chitosan and Fe3O4@Chitosan@Proteins can be correlated with the mass of protein cross-linked to the magnetic composite, as well as the mass of chitosan present in the magnetic compound can also be correlated with the loss of mass between and the mass difference between Fe3O4 and Fe3O4@Chitosan. Thus, TGA profiles showed that on average, 162 mg of chitosan was coating one gram of composite, and 12 mg of protein was cross-linked to each gram of magnetic support. The mass balance of protein calculated with TGA data was confirmed on the basis of the amount of proteins added and amount of proteins immobilized using Bradford assay (data not shown). TGA is frequently used to confirm the immobilization of enzymes on MNPs by determining the percentage loss of weight of the naked MNPs and enzyme immobilized MNPs .
The XRD patterns of magnetic composites are shown in Figure 5.
Well-resolved peaks were observed, indicating that the magnetic particle structure remains essentially unchanged during the coating with chitosan and enzyme cross-linking reaction. The six signals depicted in XRD spectrum of the composites at 2θ = 30.1°, 35.3°, 43.1°, 53.5°, 56.9°, and 62.7° correspond to the planes (2 2 0), (3 1 1), (4 0 0), (4 2 2), (5 1 1), and (4 4 0), which are characteristic of Fe3O4 . However, it is expected to find residual maghemite (γ-Fe2O3) in the samples due to low-temperature oxidation of spinels containing iron (II) such as magnetite. The patterns could be perfectly synchronized with the cubic structure of the inverse spinel of pure Fe3O4, with a lattice constant and a unit cell comprising 24 Fe and 32 O atoms, respectively. A faint reflection peak was observed at 18° assigned to maghemite, but the intensity was so low that it was neglected; therefore, it is concluded that high purity and good crystallinity were obtained with the synthesis method proposed. The magnetic properties of Fe3O4 are directly proportional to the type and distribution of the cations at octahedral and tetrahedral sites of the spinel structure .
DLS was used to obtain the particle size distribution of Fe3O4@Chitosan and Fe3O4@Chitosan@Proteins. Figure 6(a) indicates that Fe3O4@Chitosan particles have a size distribution of 120–300 nm with an average of approximately 230 nm. Figure 6(b) indicates that the Fe3O4@Chitosan@Proteins have a size distribution of 150–670 nm with an average of 430 nm.
Furthermore, TEM micrographs show clusters of individual spherical particles (see Figure 7).
The average particle size of Fe3O4@Chitosan slightly increased from 8.5 ± 0.14 nm (Figure 7(a)) to 10.8 ± 0.40 nm (Figure 7(b)) in Fe3O4@Chitosan@Proteins after cross-linking reaction with genipin. In addition, from the calculated lattice constant, we can assume that each nanoparticle comprises ten unit cells. Figure 7(a) shows regular and defined shapes, opposite to Figure 7(b) where a layer covering the surface of MNPs upon mobilization of the enzymes can be seen.
Besides, the Fe3O4@Chitosan samples show regular and defined shapes contrasting with the Fe3O4@Chitosan@Proteins samples, where agglomerates can be seen. TEM suggests that after enzyme immobilization within the composite, the MNPs have larger sizes that evidence enzymes and chitosan cross-linking, as has been previously documented [21, 27–29]. Moreover, it has been documented that Fe3O4 is superparamagnetic when its size is around 10 to 20 nm [3, 19], which agrees with the superparamagnetic properties of our composites (see Figure 1). Heterogeneous morphology of clusters was also confirmed by SEM (Figure 8).
The interaction between the Fe3O4@Chitosan and enzymes was confirmed by EDX analysis. The chemical composition (% ) in Fe, O, C, and N of Fe3O4@Chitosan was 65.88 ± 1.42, 21.91 ± 2.03, 9.88 ± 0.97, and 1.06 ± 0.96, respectively. A decrease of 22.4% in Fe concentration of Fe3O4@Chitosan@Proteins was noticed. However, increased concentrations of 15.15%, 99.60%, and 84.91% with elements associated to proteins such as oxygen (O), carbon (C), and nitrogen (N) were detected, respectively. A narrow characterization of the elemental composition of magnetic composites was performed with XPS analysis using Fe3O4 as reference. Figure 9 shows the high-resolution XPS spectrum of the Fe, O, N, and C components of the samples.
The presence of the magnetite in all samples (Figure 9(a)) is confirmed according to the characteristic peaks of Fe2p at 711 and 725 eV and for the Fe3p line around 60 eV, in agreement with . In Figure 9(b), changes in signal intensities for O1s spectra were observed in all samples. Characteristic peaks (between 530 and 534 eV) were identified as 531.5 eV to C-O and 533 eV to C=O. The presence of the N1s was identified at 401 eV (Figure 9(c)). A 2-fold change in N1s spectra is present in Fe3O4@Chitosan@Proteins when compared with Fe3O4@Chitosan. Slight signal variation corresponding to C1s (Figure 9(d)) was identified in a range of approximately 284–290 eV; in this range, the signals corresponded to O-C=O (~288 eV), C-O-C (~287 eV), and C-C (~286 eV).
As this type of nanoparticles used as support for enzyme immobilization might result in significant losses of enzymatic activities, the exhibited structural properties for the Fe3O4@Chitosan@Proteins will further be correlated with a complete study on the enzymatic activity of biocatalysts.
The synthesis of magnetic nanoparticles coated with chitosan was performed in a single step and has potential application in enzyme immobilization by a natural and low toxic cross-linker agent. The preparation method plays a key role in determining the particle size and shape, size distribution, surface chemistry, and, therefore, the applications of the superparamagnetic nanoparticles. These Fe3O4@Chitosan nanoparticles are expected to be a useful support for enzyme. The ability of efficient separation from other molecules, such as products in the reaction system, and the reuse of the immobilized enzymes provide several advantages for its use as a catalyst in the industry. However, industrial-scale biotechnology and biorefinery processes require the development of low-cost and efficient magnetically responsive materials, as well as industrial-scale magnetic separators.
The datasets used to support this study are currently under embargo while the research findings are commercialized. Requests for data, 12 months after initial publication, will be considered by the corresponding author.
Conflicts of Interest
The authors declare that there is no conflict of interest regarding the publication of this paper.
The work in Mexico was funded by Consejo Nacional de Ciencia y Tecnología with MSc Grant 582097 and the Project CB-2014-241208. The work at ICMAB was supported by Ministerio de Economía y Competitividad (MINECO), Spain (CTQ2016-75150-R), and “Severo Ochoa” Program for Centers of Excellence in R&D (SEV-2015-0496). The authors are grateful to the teamwork of Inorganic Materials & Catalysis of the Institute of Materials Science of Barcelona (ICMAB-CSIC). The publication fee was funded by Programa para el Desarrollo Profesional Docente de la Secretaría de Educación Pública of Mexico.
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