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Article

Interfacial Biocatalytic Performance of Nanofiber-Supported β-Galactosidase for Production of Galacto-Oligosaccharides

1
Bioprocess Engineering Research Group, Biotechnology Research Institute, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu 88400, Sabah, Malaysia
2
School of Chemical Engineering, University of Adelaide, Adelaide, SA 5000, Australia
3
School of Chemical Engineering, Brunel University London, Kingston Lane, Uxbridge, Middlesex UB8 3PH, UK
4
Amgen Bioprocess Centre, Keck Graduate Institute, 535 Watson Drive, Claremont, CA 91711, USA
*
Author to whom correspondence should be addressed.
Catalysts 2020, 10(1), 81; https://doi.org/10.3390/catal10010081
Submission received: 26 November 2019 / Revised: 17 December 2019 / Accepted: 18 December 2019 / Published: 6 January 2020
(This article belongs to the Special Issue Application of Immobilized Enzyme as Catalysts in Chemical Synthesis)

Abstract

:
Molecular distribution, structural conformation and catalytic activity at the interface between enzyme and its immobilising support are vital in the enzymatic reactions for producing bioproducts. In this study, a nanobiocatalyst assembly, β-galactosidase immobilized on chemically modified electrospun polystyrene nanofibers (PSNF), was synthesized for converting lactose into galacto-oligosaccharides (GOS). Characterization results using scanning electron microscopy (SEM) and fluorescence analysis of fluorescein isothiocyanat (FITC) labelled β-galactosidase revealed homogenous enzyme immobilization, thin layer structural conformation and biochemical functionalities of the nanobiocatalyst assembly. The β-galactosidase/PSNF assembly displayed enhanced enzyme catalytic performance at a residence time of around 1 min in a disc-stacked column reactor. A GOS yield of 41% and a lactose conversion of 88% was achieved at the initial lactose concentration of 300 g/L at this residence time. This system provided a controllable contact time of products and substrates on the nanofiber surface and could be used for products which are sensitive to the duration of nanobiocatalysis.

Graphical Abstract

1. Introduction

Nanobiocatalysts synthesized by immobilizing enzyme onto nanocarriers can enhance enzyme stability and activity, and importantly enzyme recycling and reuse ability for industrial bioprocess [1,2,3]. However, enzymes may encounter structural change upon immobilization due to protein conformation change at the interface, resulting in a reduction of their biocatalytic activity. There are many factors involved in enzyme conformational changes including the features of enzyme molecules and the support material (size and topography), systematic conditions (e.g., pH and temperature) as well as interaction forces (e.g., polar or hydrophobic/hydrophilic) [4,5,6]. The functionality and stability of the immobilized enzymes in a bioreactor system remain a major challenge in large scale operation. In addition, the strategies for recovering biocatalysts are also still poorly developed. Hence, a continuous study is highly pursued to develop enzyme supports with robust and separable features while effectively preserving enzyme activity.
The breakthroughs in nanotechnology and biotechnology have led to immobilization of enzymes on nanostructured materials as a promising approach in enhancing enzyme performances. Nanomaterial carriers allow the creation of a nanoenvironment that favours desirable biochemical kinetics and selectivity of enzyme molecules for maximal reaction efficiencies. We have reported that incorporation of β-galactosidase on functionalized polystyrene nanofiber can provide a nanoenvironment that favours the enzymatic bioreaction to maximize galacto-oligosaccharide production [7]. Functionalized nanocarriers enable assembling enzyme in an ordered structure besides providing a high enzyme payload attributed by its large surface area [8]. To date, enzymes have been introduced onto various functional nanomaterials including nanofiber scaffolds [9], nanotubes [10], nanoparticles [11], nanocomposites [12] and nanosheets [13] and nanofibers [14].
Recent studies reported that enzymes could be immobilized on various nanofibers made from cellulose polymers [15], polystyrene [7], poly(ε-caprolactone) [16], polyaniline [17], chitosan [18], polyethylene oxide [19], polylactic acid [20], and polyacrylonitrile [21]. Nanofiber is fabricated using an electrospinning device, and the size of fibrous mats ranges from nanometers to a few micrometres. Its outstanding characteristics, including high porosity and interconnectivity that reduce mass transfer resistance and a high ratio of surface area to mass that provides a much greater loading capacity, make nanofiber as a promising enzyme carrier. Furthermore, nanofiber provides great opportunities to be applied in a bioreactor system due to its recyclability and specific surface properties with self-assembling behaviour.
We have explored β-galactosidase on a chemically modified polystyrene nanofiber (PSNF) as nanobiocatalyst (β-galactosidase/PSNF) to catalyze bioconversion of lactose in dairy industry wastes into valuable and marketable products, galacto-oligosaccharides (GOSs) [22,23] as GOSs are a high value-added functional food ingredient, offering a range of important health functions in living systems including prebiotic benefits and low-calorie sugar alternatives [24]. The catalytic process by the nanobiocatalyst in the static system [22] resulted in 28 wt% GOS and a conversion of lactose of 40%, while in a spiral reactor [23], both GOS yield and lactose conversion using the same nanobiocatalyst has been significantly improved. One key factor was found to be the residence time of feed stream on the nanofiber surface: too long GOS was further hydrolysed into glucose and galactose, too short the GOS yield was also reduced. To further control the residence time of products and substrates on the nanofiber, we designed a column bioreactor in which the feed/product stream had a controlled contact time with the nanobiocatalyst. To understand the enzyme-nanofiber interactions, the β-galactosidase/PSNF nanobiocatalyst was systematically characterized. The nanobiocatalyst performance in the scalable bioreactor for GOS production was evaluated. Correlation between the enzyme conformation structure and its engineering performance was built, which may provide great insights into fabricating other nanobiocatalysts.

2. Results and Discussion

2.1. Textural Properties of Polymer Nanofibers

It has been recognized that an investigation of protein adsorption on a solid surface is a fascinating endeavour but a great complexity [25]. In comparison to the free enzyme, the presence of enzyme supports, or carriers can complicate both experimental data collections and their theoretical interpretations [4]. Several techniques can provide key information of not only the characteristics of enzyme supports but also of the enzyme distribution on the surface and the interfacial reactions between enzyme and its support. We employed SEM, fluorescence microscopy and Fourier transforms infrared (FTIR) to characterize the prepared nanobiocatalyst.
The chemical characteristics of the nanofibers play an important role in β-galactosidase binding and enzyme-catalyzed reactions. To introduce functional groups for enzyme immobilisation and tune the nanoenvironment for enzyme reaction, the PSNF surface was treated by concentrated HNO3 (63%) for 2, 10 and 24 h to generate oxygen-containing functional groups such as carboxyl (COOH) and hydroxyl (OH) to facilitate β-galactosidase binding [26]. The effect of surface modifications on mechanical stability and wettability of the nanofibers was first examined. Figure 1 indicates that surface modification leads to changes in the surface properties of the nanofiber. Unmodified PSNFs exhibit a smooth surface and a uniform-sized structure (Figure 1a) with a diameter of around 2.25 ± 0.76 µm for a single nanofiber, while surface damages are observed on the acid-treated PSNFs with minor defects for 2 h modified PSNFs but the dimension is nearly the same as the unmodified PSNFs (Figure 1b). More destructions are found after longer treatment (10 or 24 h) (Figure 1c–d) with a rougher surface, more heterogeneous size distribution, some observable small pieces ripped off from the original nanofibers, and size shrinkage of the diameter of a single nanofiber. The 2 h treated PSNFs were therefore selected for further characterization and investigation in comparison with the untreated PSNFs.

2.2. Physical Characterization of Nanofibers/β-Galactosidase Assembly

After the nanofibers were treated, they were employed for the preparation of nanobiocatalysts. One of the key issues for the nanobiocatalyst is the distribution of bound proteins on the support nanocarriers. The most common method is to visualize the morphological changes of the nanofibers after enzyme immobilization under an SEM. Alternatively, the molecular distribution can be analysed from fluorescence-assisted images under a fluorescence microscope after the enzyme is tagged with fluorescence molecules [27]. For our nanofiber/β-galactosidase hybrids, although minor cracks are noticed on 2 h treated nanofibers, all enzyme-loading nanofibers have a nearly identical thickness, which means that a thin layer of enzyme coating uniformly covers the PSNF surface (Figure 1e,f at 20 µm and 50 µm magnification, respectively). This thin layer is formed by the enzyme molecule interaction with functional groups distributed on the nanofiber surface that is characterized by our previous reports [7,26]. A similar layer of homogenous antibody coating was recently reported on electrospun polyethersulfone nanofibrous membrane due to hydrophobic interactions [28].
The fluorescence microscope that provides an efficient and unique approach to visualize proteins on various support matrices was also used to further investigate the nanofiber/β-galactosidase hybrids. The enzyme was initially labelled with FITC, immobilized onto the PSNF surface afterwards and imaged directly under a fluorescence microscope (Figure 2). PSNFs without enzyme under the same fluorescence conditions were used to account for the fluorescence background (Figure 2a). It is clearly seen from Figure 2b that green fluorescence is emitted from the FITC-labelled β-galactosidase/PSNF nanobiocatalyst and the green colour is distributed on the entire surface of nanofibers, indicating the presence of homogeneously distributed enzyme on the fibre surface. The observations of enzyme loaded nanocarriers were compared with the negative control of PSNFs-β-gal without fluorescence excitation as shown in Figure 2c. A similar technique has been applied to reveal the presence of trypsin entrapped in electrospun poly (caprolactone) nanofibers [29].

2.3. Chemical Characterization of β-Galactosidase/Nanofibers

The interaction of β-galactosidase at the surface of the nanofibers was further clarified using FTIR in Figure 3. The characteristic signals of the β-galactosidase-free PSNFs are represented by the peaks at 3100, 1493, 1451, 1150, 905, 754 and 700 cm−1. It is consistent with the characteristics of polystyrene nanofiber bands which are found at 1602, 1493, 1451, 1180, 905, 754 and 700 cm−1 as reported by Liang CY [30]. Meanwhile, the β-galactosidase spectra show the peaks at 3290, 1640, 1405, 1310, 1230, 1100 and 1050 cm−1. After assembling β-galactosidase on PSNFs, three new peaks were detected at 3290, 1641 and 1230 cm−1. According to Verma et al. [31], the vibrations of O-H and N-H groups of the enzyme occur between 3000 and 3500 cm−1. Therefore, the peak detected at 3290 cm−1 corresponds to the spectra generated by β-galactosidase which is absent at the enzyme-free nanofiber. Similarly, the peak at 1641 cm−1 corresponds to C=O stretch vibrations of peptide linkages produced by amide I protein [32], whereas the signal at 1230 cm−1 ascribes to C-N stretching and N-H bending. The FTIR analysis demonstrates successful incorporation of β-galactosidase onto the polymer nanofibers. Khoshnevisan, et al. [33] reported a successful binding of cellulase onto Fe3O4 nanoparticles which were confirmed by the characteristic bands of protein at 1624, and 1408 cm−1 using the FTIR technique.

2.4. Biocatalytic Performance of PSNF-β-Galactosidase

The biocatalytic performance of PSNF-β-galactosidase for GOS production was evaluated in an in-house fabricated recirculating column reactor system. Enzyme-loaded nanofiber sheets were placed inside holders which were stacked on top each other as represented by the schematic diagram of the operation shown in Section 3.5. A pump was used to control the flow rate, the capacity of processing feed streams and the retention time inside the reactor. The recirculation cycle, or also known as the capacity of handling the feed stream, increases as the flow increases while the retention time reduces correspondingly as tabulated in Table 1.
In the β-galactosidase-catalyzed reaction, lactose conversion is generally performed in two different pathways: (1) hydrolysis to glucose and galactose; and (2) transgalactosylation to GOS [34,35]. Hydrolysis occurs when water acts as galactosyl acceptor, yielding glucose and galactose as main products, [36,37]. Meanwhile, sugars such as lactose, glucose and galactose that present in the reaction medium, act as the nucleophiles and become the acceptors to produce GOS in transgalactosylation pathway. Therefore, the products from β-galactosidase-catalyzed reaction include glucose, galactose, GOS and the remaining lactose. GOS comprises of mono and disaccharides with a degree of polymerization of up to 8–9 [38], were determined by the mass balance difference between the initial lactose and the total amount of remaining lactose, glucose and galactose.
The effect of flow rate on lactose conversion and GOS production was systematically investigated throughout the experiments using the recirculating column reactor system. The results are presented in Figure 4. As the feeding rate increases up to 6 mL/min, corresponding to a feed rate of 150 g lactose/h, the lactose conversion reaches up to 80%. The results show that the conversion increases with the increasing the capacity of streams fed into the reactor. A previous study conducted by Kim, et al. [39] showed an enhanced treatment rate of organic pollutants with increased batch cycles. Beyond 6 mL/min flow rate, a remarkable reduction in the conversion is observed (Figure 4a). The formation of GOS, glucose and galactose show a similar production profile and trend in Figure 4b. The highest GOS yield is 145 g/L in a trial at a feed rate at 6 mL/min flow rate, producing 113 g/L glucose and 72 g/L galactose.
It is observed that the GOS yield exceeds that of glucose and galactose when the reactor is operated up to 6 mL/min flow rate, or residence time of 1 min in each unit of the column reactor, implying transgalactosylation is favoured. This is in agreement with our previous study conducted in a recirculating spiral reactor, where enzyme-carrying nanofibers were spread onto mesh support and the mesh was rolled in a spiral form before locating inside a reactor [23]. However, in that spiral reactor, the highest GOS production was accompanied by a reduced lactose conversion. Under the optimal flow rate in this column bioreactor, the highest GOS production and lactose conversion are achieved. Lactose molecules diffuse rapidly into the enzyme reaction sites as the thickness of the concentration boundary layer is reduced. GOS molecules move out of the reaction sites while the β-galactosidase-galactosyl complexes form in favour of transgalactosylation. Increasing the flow rate up to 10 mL/min, hydrolysis was found to become the dominated reaction over transgalactosylation that is supported by a drastic decrease in GOS. These observations are likely to be correlated with reduced contact time for interfacial interaction between lactose nucleophiles and enzyme-galactosyl complex, promoting hydrolysis activity to yield glucose and galactose.
The bioconversion and production profile of PSNF-β-galactosidase with a range of lactose concentrations in the recirculating column reactor are presented in Figure 5. The results reveal that the conversion and product yields are dependent on the initial lactose concentration. A gradual decrease of lactose conversion is found with an increase in the concentration of lactose (Figure 5a). The highest lactose conversion (88%) is achieved at the initial lactose concentration of 300 g/L. When the lactose concentration reaches up to 600 g/L, approximate 80% of lactose remains unconverted. Longer reaction time is required to catalyse the lactose conversion. It has been recognized that the conversion efficiency is normally determined by the availability of catalytic sites of the immobilized enzyme [23]. Saturation of the enzyme active sites by substrate molecules results in a lower conversion at a higher lactose concentration. Furthermore, lactose at a high concentration is oftentimes associated with low solubility with the presence of crystal-like substances in the reaction medium that reduces the conversion rate [40]. Interestingly, except for 600 g/L lactose concentration, the yield of GOS exceeds that of glucose and galactose, indicating the β-galactosidase/PSNF system favours the desired transgalactosylation at a relatively high lactose concentration in the feed stream (Figure 5b). The highest GOS yield (160 g/L) is obtained at an initial lactose concentration of 500 g/L, which is 1.3 times higher than that of 300 g/L lactose concentration.
Overall, the nanobiocatalyst of PSNF-β-galactosidase shows an excellent catalytic performance in the recirculating column reactor for conversion of lactose-rich dairy wastes into valuable products. The bioconversion performance using PSNF-β-galactosidase is also comparable or greater than that in other reported studies as briefed in Table 2. It can be concluded that the interface from the nanofiber and the newly developed PSNF-Gal recirculating column reactor provide favourable nanoenvironments that maximize the biocatalytic performance. More importantly, comparing to static feed as reported in our previous study [7], the process in the recirculating column bioreactor enhances the lactose bioconversion from 40% to 88% and the GOS yield from 110 to 160 g/L. The superiority of the disc reactor in this study was further demonstrated by its higher yield per area than that in the spiral reactor. For example, at an initial substrate concentration of 300 g/L, the yield per area in the disc reactor is 4.17 g/L cm−2, approximately 4.3 times higher than that in the spiral reactor (0.33 g/L cm−2). Hence, the disc reactor may be further optimized for an industrial process.

3. Materials and Methods

3.1. Materials

Polystyrene (MW 350,000), N,N-dimethylformamide (DMF), nitric acid (HNO3), 69%, Fluorescein isothiocyanate (FITC), bovine serum albumin (BSA) and Kluyveromyces lactis β-galactosidase were purchased from Sigma-Aldrich (St. Louis, MO, USA). Lactose monohydrate was from Chem Supply and potassium phosphate buffer (PBS, pH 7.2) was from Life Technologies (Carlsbad, CA, USA).

3.2. Synthesis of Polymer Nanofibers

Polystyrene (20%, w/v) was prepared by dissolving in DMF in a flask stirring at 100 rpm for overnight at room temperature. The solution was then transferred to a 5 mL syringe of electrospinning device, and the syringe was attached to a 1 mm inner diameter needle tip which was connected to a Glassman high voltage power supply (25 kV). The flow rate of the polymer solution was controlled at 2.5 mL/h by an Adelab Scientific syringe pump. The electrospun PSNFs were cast onto a metal-surface collector, and the distance between the needle tip and the collector was fixed at 10 cm. After electrospinning, the PSNFs were detached from the collector surface and stored at room temperature for further use.

3.3. Nanofibers Modification and β-Galactosidase Immobilization

The surface of PSNFs was further treated by oxidation in acid. In detail, 20–30 mg PSNFs were immersed into 5 mL HNO3 (69%) for 2 h at room temperature [7]. After surface treatment, the PSNFs were rinsed with water three times to remove excess acid and then equilibrated with PBS (pH 7.2) overnight prior to enzyme immobilization. β-galactosidase immobilization was carried out by submerging the treated approximately 10 mg PSNFs into 1 mL β-galactosidase PBS solution (2 mg/mL) overnight with gentle stirring at 4 °C. The β-galactosidase–loading PSNFs were rinsed thoroughly with water to remove unbound enzyme.

3.4. Characterization of Nanobiocatalyst

The textural and morphological properties of PSNF, β-galactosidase and β-galactosidase-loaded PSNFs were characterized by a Philips XL30 field emission scanning electron microscope (FESEM) operated at 10 kV. A Zeiss Axio fluorescence microscope was used to image the distribution of FITC-labelled β-galactosidase on nanofiber surfaces. The enzyme was initially labelled using FITC dye and it was prepared by mixing 100 mg of β-galactosidase with 10 µg of FITC in 1 mL ethanol (70%) solution with gentle mixing before the addition of PSNF. The FITC-tagged β-galactosidase on PSNF was allowed to react for 2 h at 4 °C in dark before observation under a fluorescence microscope. Fourier transforms infrared (FTIR) spectra of free β-galactosidase, PSNF, and PSNF-β-galactosidase were recorded on a Thermo Scientific NICOLET 6700 FTIR spectrometer at room temperature.

3.5. Experimental Set-Up of a Recirculating Column Reactor

The bioengineering performance of PSNF-β-galactosidase was further assessed in an in-house recirculating column reactor (RCR). The RCR system comprises a reservoir tank maintained at 37 °C using a water bath, a Masterflex 7021-24 pump to control the feed flow rate, and a column reactor containing enzyme-loading nanofiber sheets fitted into a holder (25mm, Waterman) which were stacked on top of each other to form a 12-cm height column with a total working volume of 6 mL. The schematic diagram of the RCR system is illustrated in Figure 6. Eur-Pharm silicone tubing was used to connect the reservoir tank to the column reactor. Lactose solution in the feed reservoir was prepared by dissolving lactose into PBS (pH 7.2). The solution was fed from the bottom inlet of the reactor using a peristaltic pump and passed through the RCR containing immobilized β-galactosidase on PSNF and returned back into the feed reservoir through the top outlet. Variable operation parameters including flow rate (2–10 mL/min) and lactose initial concentration (300–600 g/L) were evaluated to optimize the GOS production. The capacity of handling feed per hour and the retention time inside the reactor, as calculated using Equations (1) and (2) respectively, was determined by the flow rate.
Capacity   of   handling   feed   per   hour   ( h 1 )   =   Flow   rate   ( ml / min ) Feed   working   volume   ( ml )   ×   60
Retention   time   ( h )   =   Reactor   volume   ( ml ) Flow   rate   ( ml / min )   ×   1 60
The conversion and the yield of glucose, galactose, and GOSs were determined using Equations (2)–(5), where brackets represent mass concentration.
Conversion   ( % )   =   [ Initial   lactose ] [ Final   lactose ] [ Initial   lactose ]   ×   100 %
Glucose   ( % )   =   [ Glucose ] [ Initial   Lactose ]   ×   100 %
Galactose   ( % )   =   [ Galactose ] [ Initial   Lactose ]   ×   100 %
GOS   ( % )   =   %   conversion %   glucose %   galactose

3.6. Chemical Analysis

Filtered substrates and products were analysed by an Agilent 1100 Series HPLC equipped with an Aminex HPX-87H column (300 × 7.8 mm) and a refractive index detector The flow rate of pre-degassed mobile phase (8 mmol/L-H2SO4) was set to 0.5 mL/min. The column and the detector cell were maintained at 60 °C and 40 °C [41]. Chromatograms were integrated using the ChemStation software.

4. Conclusions

A comprehensive analysis study has been carried out to advance the understanding of β-galactosidase/nanofiber nanobiocatalyst structure. The homogenous biocatalyst distribution on the support surface was demonstrated by SEM and fluorescence microscopy images. The FTIR confirmed successful biocatalyst attachment on the PSNF surface and the native structures of biocatalyst were retained after the formation of the nanobiocatalyst. The nanocatalyst in a column bioreactor had the highest lactose conversion and GOS production at a flow rate of 6 mL/min, or residence time of 1 min. However, both GOS production and lactose conversion were dependent on the initial lactose concentration, a lower concentration for higher conversion and a higher concentration for a higher GOS yield. Further optimization of this system will be conducted to maximize the GOS production and improve the lactose conversion.

Author Contributions

Formal Analysis, M.M.; Investigation, M.M.; Writing-Original Draft Preparation, M.M.; Writing-Review & Editing, M.M., H.Z., S.D.; Supervision, B.J., S.D. and H.Z.; Project Administration, M.M.; Funding Acquisition, B.J., S.D. and H.Z. All authors have read and agreed to the published version of the manuscript.

Funding

M.M. gratefully acknowledges the financial support from the Universiti Malaysia Sabah and the Malaysian Government. H.Z. acknowledges funding support from University of Adelaide.

Acknowledgments

The HPLC facility support from Paul Grbin’s research group and sugar analysis assistance by Nick Van Holst, analytical supports by Qiuhong Hu at Analytical Lab School of Chemical Engineering, and the SEM analysis from Adelaide Microscope are highly appreciated.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. SEM images of (a) untreated, (b) 2 h acid-treated, (c) 10 h acid-treated, and (d) 24 h acid-treated nanofibers, (e) and (f) nanofibers with immobilized enzyme at 20 µm and 50 µm SEM scale.
Figure 1. SEM images of (a) untreated, (b) 2 h acid-treated, (c) 10 h acid-treated, and (d) 24 h acid-treated nanofibers, (e) and (f) nanofibers with immobilized enzyme at 20 µm and 50 µm SEM scale.
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Figure 2. Visualization of FITC-tagged enzyme using fluorescence microscope: (a) PSNF fluorescence background, (b) FITC-PSNF-β-Gal with fluorescence excitation (c) negative control PSNF-β-gal without fluorescence excitation.
Figure 2. Visualization of FITC-tagged enzyme using fluorescence microscope: (a) PSNF fluorescence background, (b) FITC-PSNF-β-Gal with fluorescence excitation (c) negative control PSNF-β-gal without fluorescence excitation.
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Figure 3. FTIR spectra of enzyme-free PSNF, enzyme-loaded PSNF and free β-enzyme.
Figure 3. FTIR spectra of enzyme-free PSNF, enzyme-loaded PSNF and free β-enzyme.
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Figure 4. The effect of feed flow rate on (a) lactose conversion and (b) products yield from biocatalysis from immobilized β-galactosidase on PSNFs in a recirculating column reactor. Reactions were conducted at an initial lactose concentration of 400 g/L at 37 °C with an enzyme concentration of 2 mg/mL at pH 7 for 24 h reaction. Triplicate biological samples were prepared and data are shown as mean ± SD.
Figure 4. The effect of feed flow rate on (a) lactose conversion and (b) products yield from biocatalysis from immobilized β-galactosidase on PSNFs in a recirculating column reactor. Reactions were conducted at an initial lactose concentration of 400 g/L at 37 °C with an enzyme concentration of 2 mg/mL at pH 7 for 24 h reaction. Triplicate biological samples were prepared and data are shown as mean ± SD.
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Figure 5. Profiles of (a) lactose conversion and (b) products yield of immobilized β-galactosidase on PSNF in a recirculating column reactor using lactose at various concentrations. Reactions were conducted on a lactose concentration ranging from 300 to 600 g/L at a feed flow rate of 6 mL/min, using 2 mg/mL enzyme concentration at 37 °C at pH 7 for 24 h reaction. Triplicate biological samples were prepared and data are shown as mean ± SD.
Figure 5. Profiles of (a) lactose conversion and (b) products yield of immobilized β-galactosidase on PSNF in a recirculating column reactor using lactose at various concentrations. Reactions were conducted on a lactose concentration ranging from 300 to 600 g/L at a feed flow rate of 6 mL/min, using 2 mg/mL enzyme concentration at 37 °C at pH 7 for 24 h reaction. Triplicate biological samples were prepared and data are shown as mean ± SD.
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Figure 6. (a) Schematic diagram of a recirculating column reactor for lactose bioconversion using a PSNF-β-galactosidase system. (b) Actual setup of recirculating column reactor.
Figure 6. (a) Schematic diagram of a recirculating column reactor for lactose bioconversion using a PSNF-β-galactosidase system. (b) Actual setup of recirculating column reactor.
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Table 1. Lactose conversion with respect to operation conditions of recirculating column reactor system: feeding flow rate, total recirculation cycle and residence time.
Table 1. Lactose conversion with respect to operation conditions of recirculating column reactor system: feeding flow rate, total recirculation cycle and residence time.
Flow Rate (mL/min)Capacity of Handling Flow Rate Cycle (h−1)Retention Time (h)
2200.050
4400.025
6600.017
8800.013
101000.010
Table 2. Comparison on lactose bioconversion and GOS yield by immobilized enzymes in various types of support materials.
Table 2. Comparison on lactose bioconversion and GOS yield by immobilized enzymes in various types of support materials.
Source of β-GalactosidaseReactorSupport MaterialLactoseConversionGOSReference
---g/L%%-
Kluyveromyces lactisDisc reactorPolystyrene nanofibers3008841This work
4008335This work
Kluyveromyces lactisSpiral reactorPolystyrene nanofibers3008631[38]
4008640[38]
Kluyveromyces lactisBatch processPolystyrene nanofibers3003820[41]
4004028[41]
Kluyveromyces lactisContinuous ultrafiltration membrane reactorMembrane3007680[42]
Bacillus circulansRepetitive batch-wiseEupergit C250L550-64[43]
Bacillus circulansRepeated batchGlyoxyl agarose5006039[44]
Bacillus circulansBatch process-4005041[45]
Aspergillus oryzaeBatch processPolysiloxane-polyvinyl alcohol5005526[46]

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MDPI and ACS Style

Misson, M.; Jin, B.; Dai, S.; Zhang, H. Interfacial Biocatalytic Performance of Nanofiber-Supported β-Galactosidase for Production of Galacto-Oligosaccharides. Catalysts 2020, 10, 81. https://doi.org/10.3390/catal10010081

AMA Style

Misson M, Jin B, Dai S, Zhang H. Interfacial Biocatalytic Performance of Nanofiber-Supported β-Galactosidase for Production of Galacto-Oligosaccharides. Catalysts. 2020; 10(1):81. https://doi.org/10.3390/catal10010081

Chicago/Turabian Style

Misson, Mailin, Bo Jin, Sheng Dai, and Hu Zhang. 2020. "Interfacial Biocatalytic Performance of Nanofiber-Supported β-Galactosidase for Production of Galacto-Oligosaccharides" Catalysts 10, no. 1: 81. https://doi.org/10.3390/catal10010081

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