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Article

Encapsulation of Methanotrophs within a Polymeric Matrix Containing Copper- and Iron-Based Nanoparticles to Enhance Methanol Production from a Simulated Biogas

Department of Chemical Engineering, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea
*
Authors to whom correspondence should be addressed.
Polymers 2023, 15(18), 3667; https://doi.org/10.3390/polym15183667
Submission received: 30 July 2023 / Revised: 27 August 2023 / Accepted: 1 September 2023 / Published: 6 September 2023
(This article belongs to the Special Issue Advanced Polymer Nanocomposites III)

Abstract

:
The production of renewable energy or biochemicals is gaining more attention to minimize the emissions of greenhouse gases such as methane (CH4) and carbon dioxide for sustainable development. In the present study, the influence of copper (Cu)- and iron (Fe)-based nanoparticles (NPs), such as Cu, Fe3O4, and CuFe2O4, was evaluated during the growth of methanotrophs for inoculum preparation and on the development of a polymeric-matrix-based encapsulation system to enhance methanol production from simulated biogas (CH4 and CO2). The use of simulated biogas feed and the presence of NP-derived inoculums produce a remarkable enhancement in methanol production up to 149% and 167% for Methyloferula stellata and Methylocystis bryophila free-cells-based bioconversion, respectively, compared with the use of pure CH4 as a control feed during the growth stage. Furthermore, these methanotrophs encapsulated within a polymeric matrix and NPs-based systems exhibited high methanol production of up to 156%, with a maximum methanol accumulation of 12.8 mmol/L over free cells. Furthermore, after encapsulation, the methanotrophs improved the stability of residual methanol production and retained up to 62.5-fold higher production potential than free cells under repeated batch reusability of 10 cycles. In the presence of CH4 vectors, methanol production by M. bryophila improved up to 16.4 mmol/L and retained 20% higher recycling stability for methanol production in paraffin oil. These findings suggest that Cu and Fe NPs can be beneficially employed with a polymeric matrix to encapsulate methanotrophs and improve methanol production.

1. Introduction

Methanotrophs are microbes that utilize methane (CH4) for growth and produce numerous value-added bioproducts such as methanol, 2,3-butanediol, ectoine, lactic acid, and biopolymers [1,2]. In recent years, the analysis of methanotrophic pathways and their metabolic engineering has significantly expanded to produce bioproducts from CH4 and carbon dioxide (CO2) as greenhouse gases (GHGs) [3,4]. Methanol production by methanotrophs can be beneficial over CH4 as an energy source due to its ~400 times higher density. Methanol can readily be transported or stored under ambient conditions compared with CH4. [5]. Methane monooxygenases (MMOs) catalyze CH4 to methanol in methanotrophs. Subsequently, during methanotroph metabolism, methanol is converted to formaldehyde by methanol dehydrogenase (MDH), formaldehyde is converted to formate by formaldehyde dehydrogenase and finally to CO2 by formate dehydrogenase [5]. The accumulation of methanol is influenced by the type of methanotroph and the conversion physiological conditions, such as the inoculum, incubation period, pH, temperature, and nature of the feed, such as pure CH4 or CO2, and biogas (CH4 and CO2) [6,7,8]. The low growth and methanol yield of methanotrophs are mainly associated with the partial solubility of CH4 in media and the successive metabolization of accumulated methanol via the partial inactivation of MDH activity during conversion within the cells by MDH inhibitors such as magnesium chloride (MgCl2) and phosphate buffer [9,10].
Strategies such as metabolic engineering and immobilization of methanotrophs have been shown to improve methanol production [11,12]. However, engineering methanotrophs can be challenging owing to the complicated procedures involved, especially homologous expression [12]. Using immobilized cells has been proven to be more beneficial than using free cells for repeated batch conversion and easy separation from the reaction mixture [6,11]. The immobilization of whole cells on solid supports is primarily limited by the non-eco-friendly chemical modification of the support for the binding of cells, including covalent immobilization, substantial loss of biocatalytic activity after immobilization, and low recycling stability of immobilized cells [6,11,13]. Therefore, the adaptation of suitable immobilization procedures can be beneficial to achieve higher methanol production because of the availability of a broad range of immobilization supports, such as biomass and polymeric or synthetic materials, and techniques, including adsorption, encapsulation, and covalent methods, for the attachment of cells to supports [11,14,15]. In addition, methanotroph growth and MMO activity are highly affected by metals such as copper (Cu) and iron (Fe) [16].
Nanoparticles (NPs) significantly affect cellular properties during growth or bioconversion applications [17]. Polymeric materials, such as silica, are desirable for supporting immobilized cells through encapsulation because of their high biocompatibility [18]. Therefore, the use of Cu- and Fe-based NPs and polymeric matrices is desirable for enhancing methanol production. In this study, the influence of Cu- and Fe-based NPs, such as Cu, Fe3O4, and CuFe2O4, was evaluated during the growth of methanotrophs to prepare competent inocula to enhance methanol biotransformation using simulated biogas as the feed. Furthermore, methanotrophs were encapsulated within a polymeric matrix containing NPs to improve cell stability and methanol production. Finally, the CH4 vectors allowed greater conversion under repeated recycling in batch-mode production. This is the first study to demonstrate enhanced methanol production from simulated biogas using a combined polymer and NP-based matrix approach for encapsulating precultured methanotrophs in the presence of NPs.

2. Materials and Methods

2.1. Materials and Cultures

NPs of Cu (25 nm), CuFe2O4 (100 nm), Pluronic® P-123 tri-block polymer [poly(ethylene glycol)-block-poly(propylene glycol)-block-poly(ethylene glycol)]), tetraethylorthosilicate (TEOS), polyethylene glycol, tetrazotized-o-dianisidine, 2,6-dichlorophenol-indophenol (DCPIP), phenazine methosulfate, Brij 35, paraffin oil, and silicon oil were procured from Sigma-Aldrich (Burlington, MA, USA). Fe3O4 (<100 nm) was procured from Nanostructured and Amorphous Materials, Inc. (Houston, TX, USA). All other chemicals used in this study were procured from commercial sources. High-purity gases were purchased from NK Co., Ltd. (Busan, Republic of Korea). Methanotrophs were purchased from the German Collection of Microorganisms and Cell Cultures (Braunschweig, Germany) [19].

2.2. Influence of NPs on the Growth of Methanotrophs for Methanol Production

Methanotrophs were cultivated in a 1 L flask (Duran-Schott, Germany) with an air-tight screw cap (Suba seal, Sigma-Aldrich, USA) and with 200 mL of nitrate mineral salt (NMS) medium containing CH4 (30%, v/v) or simulated biogas (CH4, 30% (v/v) and CO2, 7.5% (v/v)) as feed for up to 5 days at 30 °C, with shaking, in the presence of various NPs (0.01 mg/mL): Cu, Fe3O4, or CuFe2O4 [20]. The cell dry mass was analyzed using constant-weight measurements at 70 °C [19]. The production of methanol in batch cultures was examined in 120 mL bottles (Sigma-Aldrich, USA) containing 20 mL of phosphate buffer (100 mM, pH 6.8) and MgCl2 (as MDH inhibitor), using methanotrophs inoculum at 3.0 mg DCM/mL from simulated biogas (CH4, 30% (v/v), and CO2, 15% (v/v)) for incubation at 30 °C for 48 h [21].

2.3. Encapsulation of Whole Cells in Polymeric Matrix Containing Nanoparticles for Methanol Production and Biocatalytic Activity

Methanotroph encapsulation was performed using a synthetic precursor solution (20 mL), which was a mixture of TEOS/Pluronic® P-123/H2O/ethanol/HCl/glycerol (molar ratio:1:0.015:5.3:18.1:0.3:1.13; pH 5.0) and methanotrophs (cultured in NPs (0.01 mg/mL) containing NMS media) and fresh culture (1 mg of DCM/mL, 40 mL) [18]. Briefly, the fresh inoculum was mixed with the precursor solution, followed by incubation at 30 °C for 2 h under continuous stirring. The encapsulated cells were washed with distilled water and buffer solution to remove any unbound cells. Furthermore, different NP (Cu, Fe3O4, or CuFe2O4) concentrations (0.01–0.05 mg/mL) were added to the synthetic precursor solution (TEOS/Pluronic® P-123/H2O/ethanol/HCl/glycerol) during cell encapsulation to improve methanol production. The biocatalytic activities of the MMOs and the MDH of the methanotrophs were evaluated via naphthalene oxidation and DCPIP reduction via phenazine-methosulfate, respectively [20]. All encapsulated cells were stored at 4 °C until further use.

2.4. Influence of Process Parameters on Methanol Production by Encapsulated Methanotrophs

The effects of pH (6.0–8.0), followed by temperature (25–40 °C), were evaluated for methanol production using free and encapsulated cells from simulated biogas (CH4, 30% (v/v), and CO2, 15% (v/v)) at 30 °C and 48 h of incubation.

2.5. Reusability Measurements

The repeated-batch-mode methanol production by free and encapsulated M. bryophila within a CuFe2O4-containing polymeric matrix from simulated biogas at 30 °C and 24 h of incubation was measured. Free and encapsulated cells were retrieved via centrifugation and used as the inoculum in the next batch cycle [22]. The initial efficiency of the methanol production or MMO activity of free and polymeric-matrix-encapsulated cells was considered to be 100%.

2.6. Influence of CH4 Vectors on Methanol Production by Encapsulated M. bryophila

The effects of CH4 vectors (5%, w/v or v/v), including Brij 35 repeated-batch-mode methanol production by free or encapsulated M. bryophila from simulated biogas at 30 °C and 48 h of incubation were determined. Furthermore, to enhance methanol production, the reusability of up to 10 cycles for free and encapsulated M. bryophila within CuFe2O4-containing polymeric matrix cells in the presence of paraffin oil (5%, v/v) was evaluated.

2.7. Instrumental Analysis

All absorbance measurements were performed spectrophotometrically using a 6705 UV/Vis spectrophotometer (Jenway Scientific, Staffordshire, UK) [22]. The methanol concentration was assessed using an Agilent 7890A chromatography system equipped with a flame ionization detector and an Agilent 19091 J-413 (HP-5) column (Santa Clara, CA, USA) [19]. Validation of whole-cell encapsulation within CuFe2O4-containing polymeric matrix was performed via field-emission scanning electron microscopy (FE-SEM, JEOL, Tokyo, Japan) [21]. X-ray diffraction (XRD) analysis was performed using an X’pert PRO MPD, Malvern PANalytical, Malvern, UK). All presented values are based on three experimental replicates.

3. Results and Discussion

3.1. Influence of NPs on the Growth of Methanotrophs to Enhance Methanol Production

The NPs have been widely used in various renewable energy sources to modulate physiological properties such as the biocatalytic activity of whole cells containing metallic enzymes [17,23]. Pure CH4 has been widely used as a feed for methanotrophs to prepare inocula for converting simulated biogas into methanol [5,24]. Therefore, the effect of NPs based on Cu and Fe on the growth of methanotrophs to enhance methanol conversion from biogas was evaluated in this study because these metals are involved in the MMO biocatalytic activity of methanotrophs [16,25]. With CH4 (30%) as the feed (control), M. bryophila and M. stellata had average specific growth rates (µ) of 0.013 and 0.008 h1, respectively, for up to 5 days of incubation (Table 1). The addition of CO2 (7.5%) at a 4:1 ratio during culture resulted in a slight increase in µ of up to 15% for these methanotrophs. The presence of various NPs (0.01 mg/mL) of Cu, Fe3O4, and CuFe2O4 resulted in higher values of up to 0.021 and 0.015 h1 for methanotrophs using simulated biogas versus 0.019 and 0.012 h1 using CH4 as a feed. In the presence of these NPs, µ improved by as much as 46.1% and 66.7% for M. bryophila and M. stellata, respectively. The higher µ in the presence of NPs was supported by better substrate utilization of 23.3% and 35.4% compared with the control values of 17.9% and 22.4% for M. bryophila and M. stellata, respectively (Table S1). The metabolism of CH4 and methanol accumulation in methanotrophs are illustrated in Figure 1. The CH4-feed-based inoculum as a control resulted in methanol production of 4.90 mmol/L (98.0 µmol) for M. bryophila and 3.11 mmol/L (62.2 µmol) for M. stellata after 48 h of incubation from simulated biogas as a feed (Table 1). Previously, the maximum methanol concentration accumulations of 0.02 and 0.71 mmol/L were reported from simulated biogas using CH4-based inocula of Methylosinus trichosporium IMV 3011 and Methylosinus sporium KCTC 22312, respectively [9,26]. Up to 11% higher methanol production was observed for these methanotrophs by shifting the feed from pure CH4 to simulated biogas. The inocula of M. bryophila derived from NP media exhibited a remarkable enhancement in methanol production of up to 48, 25, and 67% for Cu, Fe3O4, and CuFe2O4, respectively. Similarly, M. stellata exhibited a relative efficiency of up to 149%. The methanol production profiles showed that the optimum incubation was recorded at 48 h using CH4- or simulated-biogas-based inocula (Figure S1). At a longer incubation of 96 h, the decline in methanol accumulation could have be linked to the subsequent metabolism of methanol by methanotrophs owing to partial MDH inhibition. The maximum methanol production enhancement was 8.18 mmol/L(164 µmol) from 4.98 mmol/L for M. bryophila and 4.63 mmol/L (92.6 µmol) from 3.11 mmol/L for M. stellata using simulated biogas as the feed with CuFe2O4-based inocula relative to the controls are shown in Figure S1. Previously, the effect of cerium on Methylacidiphilum fumariolicum growth during methanol production was reported, with a maximum methanol concentration accumulation of 4.9 mmol/L from simulated biogas [23]. In contrast, no methanol accumulation was recorded for M. fumariolicum using pure CH4 as the feed in the presence of cerium (1 µM). The results of this study suggest that the Cu- and Fe-based NPs positively influence the growth and methanol production by M. bryophila and M. stellata using pure CH4 or simulated biogas as the feed.

3.2. Encapsulation of Methanotrophs within Polymeric Matrix Containing NPs

Polymers are well-known matrices with high biocompatibility for bioconversion applications in green synthesis [18]. Therefore, the encapsulation of methanotrophs within the pure polymeric matrix or embedded with NPs was evaluated to modulate methanol production from simulated biogas (Figure 2). The encapsulation of M. bryophila and M. stellata within a pure polymeric matrix produced slightly more methanol of 8.75 and 4.77 mmol/L, respectively, compared with the corresponding free-cell values of 8.18 and 4.63 mmol/L, respectively (Table 2). Previously, M. trichosporium and M. sporium strains within a polymeric matrix exhibited a maximum methanol concentration accumulation of up to 1.97 mmol/L [27]. In contrast, a slightly lower methanol production concentration of 1.94 mmol/L was observed in the PVA-immobilized M. sporium system [28]. The combination of various NPs (0.01 mg/mL) with polymers exhibited a much higher relative efficiency for methanol, up to 138, 124, and 141% for Cu, Fe3O4, and CuFe2O4, respectively. The maximum methanol production was noted at 11.5 mmol/L (231 µmol) for M. bryophila and 5.79 mmol/L (116 µmol) for M. stellata using CuFe2O4 (0.01 mg/mL). Previously, a significantly lower efficiency for methanol production, between 40% and 68%, was reported for M. trichosporium immobilized on diethylaminoethyl cellulose, a mixed methanotroph culture on a ceramic ball, and for Methylomonas sp. immobilized on biomass-based coal and activated carbon [13,14,15]. The enhancement in methanol production or the stability of immobilized cells is primarily linked to MMO activity [11]. Higher relative MMO activities of 148 and 133% were observed for encapsulated cells over the corresponding M. bryophila (3.82 nmol/min/mg) and M. stellata (1.39 nmol/min/mg) free cells, respectively, linked within a polymeric matrix through cell stabilization or in the presence of Cu- and Fe-based NPs via a metal-dependent enhancement in the biocatalytic activity of methanotrophs. This is the first report of Cu or Fe NPs and a Pluronic® P-123-based polymeric matrix for cell encapsulation.
Furthermore, optimization of the NP concentration was evaluated during encapsulation to determine its influence on methanol production (Table 3). An NP concentration of 0.025 mg/mL was found to be optimal during encapsulation for methanol production from simulated biogas. The maximum relative methanol production by encapsulated M. bryophila and M. stellata was up to 156% and 132%, with productions of 12.8 and 6.11 mmol/L and relative MMO activities of up to 167 and 143%, respectively, over methanol productions of 8.18 and 4.63 mmol/L and MMO activities of 3.82 and 1.39 nmol/min/mg, respectively, by their corresponding free cells. Previously, M. stellata and M. trichosporium OB3b produced much lower methanol concentration accumulation of up to 0.13 mmol/L from biogas [29]. An undefined mixed culture of methanotrophs grown on CH4 as an inoculum was reported to have a methanol concentration accumulation of 3.82 mmol/L [30]. In contrast, ammonia-metabolizing Candidatus nitrosoglobus exhibited a low methanol concentration accumulation of 1.5 mmol/L from CH4 [31]. The high methanol production with CuFe2O4 NPs compared with that with Cu or Fe3O4 NPs may be associated with the synchronized influence of these metals to preserve higher MMO activity (Table 3). The marginal decline in methanol production at a higher concentration (0.05 mg/mL) of these NPs resulted in a partial reduction in MMO activity or was associated with other physiological activity alterations in these methanotrophs [11]. The photographic images of encapsulated cells in a polymeric matrix containing NPs are presented in Figure 3. Furthermore, the encapsulation of M. bryophila within a polymeric matrix containing CuFe2O4 NPs was confirmed via FE-SEM measurements (Figure 4a–c). The XRD pattern exhibited peaks at 20.2 for silica and 30.2, 35.8, 43.2, 53.6, and 62.6 for CuFe2O4 (JCPDS 77–0010), which confirmed the formation of a silica-based CuFe2O4–polymeric matrix (Figure 4d) [32,33].

3.3. Influence of Physiological Parameters on Methanol Production by Encapsulated Methanotrophs

Immobilization is a suitable approach for improving the properties of whole-cell biocatalysts, particularly their physiological properties and recycling stability [11,15]. To evaluate the suitability of various NP-based encapsulated methanotroph systems, methanol production by free and encapsulated cells was compared at different pH values and temperatures (Figure 5). An optimum pH of 6.8 was noted for free and encapsulated M. bryophila and M. stellata. The cell residual methanol production was better maintained at lower and higher pH than their corresponding optimum values after encapsulation within the polymeric matrix (Figure 5a,b). The maximum residual methanol production improved for the M. bryophila CuFe2O4-based system to 8.09 and 11.8 mmol/L compared with the free cell values of 3.95 and 6.28 mmol/L at pH 6.0 and 8.0, respectively (Figure 5a). The various NPs-based encapsulated M. bryophila at these pH values retained higher residual methanol production of up to 30.8%. Under similar conditions, the CuFe2O4-based system of M. stellata exhibited a remarkable improvement in stability of as much as 312% (Figure 5b). Previously, a lower optimum pH of 3.0 was reported for M. fumariolicum, with methanol concentration accumulation of 4.10 mmol/L from CH4 [23]. Furthermore, an optimum temperature of 30 °C was observed for free and encapsulated M. bryophila and M. stellata (Figure 5c,d). Previously, a higher temperature optimum for methanol accumulation was reported at 37 °C and 55 °C for Methylocaldum sp. and M. fumariolicum, respectively [23,34]. The residual methanol production declined to 5.13 and 0.80 mmol/L at 40 °C in the case of free cells of M. bryophila and M. stellata, respectively. After encapsulation in a pure polymeric matrix, these methanotrophs exhibited residual methanol production of up to 5.81 mmol/L for M. bryophila and 1.71 mmol/L for M. stellata. At 40 °C, the various NP-based encapsulated systems of M. bryophila and M. stellata exhibited improvement of up to 1.4- and 4.6-fold compared with the corresponding free cells. Overall, the significant variations in the methanol production profiles after encapsulation may be associated with the various physiological properties of M. bryophila and M. stellata.

3.4. Production Profiles and Recycling of Encapsulated M. bryophila within Polymeric Matrix Containing CuFe2O4

The incubation period is highly influenced by the methanol accumulation by methanotrophs from CH4 due to the partial inhibition of MDH activity [8,11]. Methanol production by free cells increased to 8.18 mmol/L at 48 h and then declined to 7.62 mmol/L after 96 h of incubation (Figure 6a). This reduction in methanol accumulation was associated with a relatively higher gain in MDH activity to 50.6% at 96 h and over 28.3% after 48 h (Figure 6b). Previously, a remarkable decline of ~50% in accumulated methanol concentration was noted with a longer incubation of 72 h compared with the optimum incubation of 48 h (0.02 mmol/L) for Methylosinus trichosporium IMV 3011 using simulated biogas as the feed [26]. The pure polymeric matrix and CuFe2O4-based encapsulated M. bryophila exhibited maximum methanol accumulations of 8.87 and 13.9 mmol/L at 96 h of incubation. Greater methanol accumulation by these encapsulated cells was linked to the lower residual MDH activities of 33.3% and 22.3% for the polymeric matrix and CuFe2O4, respectively, compared with 50.6% for the free cells (Figure 6b).
Reusability is an important criterion for assessing the success of immobilization procedures [11,27]. Therefore, the reusability of free and encapsulated cells was assessed 24 h after each cycle (Figure 6c,d). Free cells decreased the residual methanol production during subsequent cycles and nearly 99% of the initial methanol production (6.99 mmol/L) was lost after 10 cycles of reuse. The significant reduction in methanol production was linked to the preservation of almost 1.8% of the residual MMO activity. After encapsulation within pure polymeric matrix- and CuFe2O4-based systems, these cells retained high residual methanol production of 1.11 and 5.73 mmol/L, respectively, under similar recycling conditions. Here, the recycling stability after the encapsulation of M. bryophila improved 18.1-fold for the pure polymeric matrix and 62.5-fold for the CuFe2O4-based system. Previously, methanol production efficiency declined by >90% within three cycles of the repeated batch system for polymeric-matrix-immobilized M. sporium and M. trichosporium [27]. The preservation of greater residual methanol production by these encapsulated cells was accompanied by the retention of high residual MMO activity of up to 63.3% compared with 1.8% for free cells under repeated batch-mode conditions at 10 cycles. In contrast, cell-free silicone hydrogel-based systems of MMO biocatalysts may not be economically viable because of the requirement for expensive cofactors or the low stability of MMOs under non-natural conditions [35].

3.5. Influence of CH4 Vectors for Enhanced Methanol Production by Encapsulated M. bryophila

The use of CH4 vectors can be beneficial for their conversion to methanol by methanotrophs by improving the solubility of CH4 [5,36]. To enhance methanol production by free and encapsulated M. bryophila within a polymeric matrix containing CuFe2O4, the effects of various CH4 vectors, including Brij 35, paraffin oil, and silicon oil, were assessed using simulated biogas as a feed for incubation for 48 h (Figure 7). These CH4 vectors positively influenced methanol production by both the free and encapsulated cells. In the case of free M. bryophila, there was an enhancement in methanol production to 8.60, 9.23, and 9.11 mmol/L in Brij 35, paraffin oil, and silicon oil, respectively, over the control value of 8.18 mmol/L (Figure 7a). The encapsulated cells exhibited a maximum methanol production of 16.4 mmol/L (329 µmol) in the presence of paraffin oil compared with the corresponding control value of 12.8 mmol/L (256 µmol). Previously, the maximum methanol concentration accumulation using engineered M. trichosporium OB3b (mxaF mutant) was reported to be 5.0 mmol/L using CH4 as the feed [12]. Overall, a higher methanol concentration accumulation in this study was noted than in the previous reports of various polymeric-matrices-based methanotrophs (Table S2).
Furthermore, the reusability was evaluated in the presence of paraffin oil (5%, v/v) for repeated batch-mode methanol production for up to 10 cycles (Figure 7b). After 10 cycles, free and encapsulated cells retained a residual methanol production of 0.21 and 11.2 mmol/L, respectively. A nearly 20% improvement in residual methanol production was recorded compared with the value of 56.8% in the absence of a CH4 vector (Figure 6c) This finding suggested that reusability can be modulated for free and encapsulated cells in the presence of CH4 vectors to accumulate higher levels of methanol. The cells encapsulated within a polymeric matrix containing CuFe2O4 exhibited superior methanol production stability under repeated batch recycling by maintaining high biocatalytic activity compared with free cells. Overall, we developed a suitable strategy for renewable methanol production using NPs during inoculation preparation and encapsulation within polymeric matrix stages to enhance methanol production for the first time. Furthermore, the use of alternative feeds to simulated biogas, such as raw biogas derived from anaerobic digestion bioprocesses, is desirable for sustainable development using polymeric-matrix-and NP-based methanotroph systems [30,34].

4. Conclusions

The use of renewable energy sources derived from GHGs is a suitable GHG mitigation strategy. In this study, the use of Cu- and Fe-based NPs proved beneficial for the growth of methanotrophs as inocula in converting simulated biogas to methanol. Furthermore, polymeric-matrix- and NP-based encapsulation systems of methanotrophs exhibited significantly higher residual methanol production than the control. The cells encapsulated within a polymeric matrix containing CuFe2O4 exhibited superior methanol production stability under repeated batch recycling. The addition of CH4 vectors during bioconversion by encapsulated cells resulted in high methanol production potential and retained better recycling stability. These findings suggest that polymeric matrices and NPs are desirable for high methanol production from simulated biogas. In the future, employing bio-waste-derived raw biogas for growth and methanol production in the presence of NPs may become more viable for renewable energy generation by managing waste and GHGs.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/polym15183667/s1, Table S1: The utilization of methane during the growth of methanotrophs in NMS media in the presence of nanoparticles (NPs); Table S2: A comparison of methanol production by encapsulated methanotrophs within a polymeric matrix; Figure S1: The methanol production profiles of methanotrophs cultured in the presence of various nanoparticles from simulated biogas as feed: M. bryophila grown in CH4 (a) and simulated biogas (b), and M. stellata grown in CH4 (c) and simulated biogas (d).

Author Contributions

Conceptualization, S.K.S.P. and J.-K.L.; methodology and validation, S.K.S.P.; formal analysis and investigation, S.K.S.P. and R.K.G.; writing—original draft preparation, S.K.S.P. and R.K.G.; writing—review and editing, S.K.S.P. and J.-K.L.; visualization, S.K.S.P. and I.-W.K.; supervision, I.-W.K. and J.-K.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Science, ICT, & Future Planning (NRF-2022M3A9I5015091, 2022M3A9I3082366, 2022R1I1A1A01073664, and 2019R1C1C1009766).

Institutional Review Board Statement

Not applicable.

Acknowledgments

This work was supported by the KU Research Professor Program of Konkuk University.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. (a) Methane metabolism in methanotrophs (sMMO, soluble methane monooxygenase; pMMO, particulate methane monooxygenase; NADH, nicotinamide adenine dinucleotide; and PQQ, pyrroloquinoline quinone), and (b) stoichiometry reaction for the conversion of methane to methanol by methanotrophs (0.5 mol of O2 is required to produce 1 mol of methanol).
Figure 1. (a) Methane metabolism in methanotrophs (sMMO, soluble methane monooxygenase; pMMO, particulate methane monooxygenase; NADH, nicotinamide adenine dinucleotide; and PQQ, pyrroloquinoline quinone), and (b) stoichiometry reaction for the conversion of methane to methanol by methanotrophs (0.5 mol of O2 is required to produce 1 mol of methanol).
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Figure 2. Schematic of methanotrophs grown in nitrate mineral salt (NMS) medium containing nanoparticles (NPs) using a simulated biogas [(methane (CH4) and carbon dioxide (CO2)) as feed to produce methanol by free and encapsulated cells within an NP-containing polymer matrix.
Figure 2. Schematic of methanotrophs grown in nitrate mineral salt (NMS) medium containing nanoparticles (NPs) using a simulated biogas [(methane (CH4) and carbon dioxide (CO2)) as feed to produce methanol by free and encapsulated cells within an NP-containing polymer matrix.
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Figure 3. Photographs of encapsulated M. bryophila within an NP-containing polymer matrix: pure polymeric matrix (a), Cu–polymeric matrix (b), Fe3O4–polymeric matrix (c), and CuFe2O4–polymeric matrix (d).
Figure 3. Photographs of encapsulated M. bryophila within an NP-containing polymer matrix: pure polymeric matrix (a), Cu–polymeric matrix (b), Fe3O4–polymeric matrix (c), and CuFe2O4–polymeric matrix (d).
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Figure 4. FE-SEM images of free and encapsulated cells for free M. bryophila (a), encapsulated cells within CuFe2O4–polymeric matrix (b), cross-sectional image of encapsulated cells (c), and XRD pattern of encapsulated cells within CuFe2O4–polymeric matrix (d).
Figure 4. FE-SEM images of free and encapsulated cells for free M. bryophila (a), encapsulated cells within CuFe2O4–polymeric matrix (b), cross-sectional image of encapsulated cells (c), and XRD pattern of encapsulated cells within CuFe2O4–polymeric matrix (d).
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Figure 5. Effects of pH (a,b) and temperature (c,d) on methanol accumulation by methanotrophs encapsulated within an NP-based polymer matrix: M. bryophila (a,c) and M. stellata (b,d).
Figure 5. Effects of pH (a,b) and temperature (c,d) on methanol accumulation by methanotrophs encapsulated within an NP-based polymer matrix: M. bryophila (a,c) and M. stellata (b,d).
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Figure 6. Methanol accumulation profile of free and encapsulated M. bryophila within a CuFe2O4–polymeric matrix (a), MDH activity (b), reusability (c), and MMO activity (d). The maximum biocatalytic activity was considered to be 100% for free or encapsulated cells.
Figure 6. Methanol accumulation profile of free and encapsulated M. bryophila within a CuFe2O4–polymeric matrix (a), MDH activity (b), reusability (c), and MMO activity (d). The maximum biocatalytic activity was considered to be 100% for free or encapsulated cells.
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Figure 7. The influence of various CH4 vectors on methanol accumulation by M. bryophila within a CuFe2O4–polymeric matrix (a) and its reusability in the presence of paraffin oil (b).
Figure 7. The influence of various CH4 vectors on methanol accumulation by M. bryophila within a CuFe2O4–polymeric matrix (a) and its reusability in the presence of paraffin oil (b).
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Table 1. Influence of feed and nanoparticles (NPs) on the methanotrophic growth to produce methanol from a simulated biogas.
Table 1. Influence of feed and nanoparticles (NPs) on the methanotrophic growth to produce methanol from a simulated biogas.
NPsFeed aSpecific Growth Rate (h−1)Methanol Production (mmol/L) b
M. bryophilaM. stellataM. bryophilaM. stellata
ControlCH4 0.013 ± 0.0010.008 ± 0.0014.90 ± 0.373.11 ± 0.26
CH4 + CO20.015 ± 0.0010.009 ± 0.0015.45 ± 0.433.32 ± 0.22
CuCH4 0.016 ± 0.0020.010 ± 0.0016.60 ± 0.483.76 ± 0.25
CH4 + CO20.019 ± 0.0020.012 ± 0.0017.25 ± 0.544.23 ± 0.33
Fe3O4CH4 0.015 ± 0.0010.009 ± 0.0015.75 ± 0.493.42 ± 0.27
CH4 + CO20.017 ± 0.0020.010 ± 0.0016.08 ± 0.523.54 ± 0.26
CuFe2O4CH4 0.019 ± 0.0020.012 ± 0.0017.39 ± 0.564.26 ± 0.28
CH4 + CO20.021 ± 0.0020.015 ± 0.0028.18 ± 0.674.63 ± 0.34
a CH4 (30%) or simulated biogas (CH4 (30%) + CO2 (7.5%)) used as feed for up to 5 days of growth; b the feed used as simulated biogas containing CH4 (30%) and CO2 (15%) during methanol production for 48 h of incubation.
Table 2. Encapsulation of methanotrophs within NP-containing polymer matrix for methanol production.
Table 2. Encapsulation of methanotrophs within NP-containing polymer matrix for methanol production.
CultureMethanol Production (mmol/L)MMO Activity (nmol/min/mg)
M. bryophilaM. stellataM. bryophilaM. stellata
Free cells8.18 ± 0.674.63 ± 0.343.82 ± 0.261.39 ± 0.09
Pure polymeric matrix8.75 ± 0.644.77 ± 0.374.43 ± 0.331.51 ± 0.11
Cu–polymeric matrix11.3 ± 0.875.60 ± 0.425.54 ± 0.371.71 ± 0.12
Fe3O4–polymeric matrix10.1 ± 0.765.05 ± 0.385.01 ± 0.381.58 ± 0.11
CuFe2O4–polymeric matrix11.5 ± 0.855.79 ± 0.445.65 ± 0.421.85 ± 0.13
Table 3. Influence of NP concentration during encapsulation of methanotrophs within polymeric matrix to produce methanol from simulated biogas.
Table 3. Influence of NP concentration during encapsulation of methanotrophs within polymeric matrix to produce methanol from simulated biogas.
NPsNP Conc. (mg/mL)Methanol Production (mmol/L)MMO Activity (nmol/min/mg)
M. bryophilaM. stellataM. bryophilaM. stellata
Control (free cells)08.18 ± 0.674.63 ± 0.343.82 ± 0.261.39 ± 0.09
Cu0.01011.3 ± 0.875.60 ± 0.425.54 ± 0.371.71 ± 0.12
0.02512.3 ± 0.965.88 ± 0.456.15 ± 0.481.90 ± 0.15
0.05011.9 ± 0.885.69 ± 0.395.81 ± 0.461.74 ± 0.14
Fe3O40.01010.1 ± 0.765.05 ± 0.385.01 ± 0.381.58 ± 0.11
0.02510.5 ± 0.835.19 ± 0.445.08 ± 0.441.63 ± 0.13
0.05010.4 ± 0.795.14 ± 0.415.04 ± 0.391.58 ± 0.12
CuFe2O40.01011.5 ± 0.855.79 ± 0.455.65 ± 0.421.85 ± 0.13
0.02512.8 ± 0.996.11 ± 0.496.38 ± 0.481.99 ± 0.15
0.05012.4 ± 0.915.88 ± 0.486.11 ± 0.451.89 ± 0.15
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Patel, S.K.S.; Gupta, R.K.; Kim, I.-W.; Lee, J.-K. Encapsulation of Methanotrophs within a Polymeric Matrix Containing Copper- and Iron-Based Nanoparticles to Enhance Methanol Production from a Simulated Biogas. Polymers 2023, 15, 3667. https://doi.org/10.3390/polym15183667

AMA Style

Patel SKS, Gupta RK, Kim I-W, Lee J-K. Encapsulation of Methanotrophs within a Polymeric Matrix Containing Copper- and Iron-Based Nanoparticles to Enhance Methanol Production from a Simulated Biogas. Polymers. 2023; 15(18):3667. https://doi.org/10.3390/polym15183667

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Patel, Sanjay K. S., Rahul K. Gupta, In-Won Kim, and Jung-Kul Lee. 2023. "Encapsulation of Methanotrophs within a Polymeric Matrix Containing Copper- and Iron-Based Nanoparticles to Enhance Methanol Production from a Simulated Biogas" Polymers 15, no. 18: 3667. https://doi.org/10.3390/polym15183667

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