An electrospun chitosan-based nanofibrous membrane reactor immobilized by the non-glycosylated rPGA for hydrolysis of pectin-rich biomass

Hui Xu, Yu Cao, Xi Li, Xiyue Cao, Yi Xu, Dairong Qiao and Yi Cao

Renewable Energy, 2018, vol. 126, issue C, 573-582

Abstract: Most native polygalacturonases are glycosylated. Owing to the influence of attached glycans on the function of proteins, an immobilized non-glycosylated polygalacturonase is fabricated for the degradation of pectin-rich biomass pectin into fermentable sugars. Recombinant non-glycosylated and glycosylated PGAs expressed by E. coli and P. pastoris, respectively, were prepared. As application model, recombinant polygalacturonases in immobilized enzyme membrane reactors were tested. The electrospun chitosan-based nanofibrous membrane was selected as the support matrix. The maximum enzyme loading efficiency and enzyme binding efficiency of non-glycosylated polygalacturonase and glycosylated polygalacturonase were 89.12 mg/g and 84.13% and 34.16 mg/g and 87.18%, respectively, suggesting that the glycosylation of polygalacturonases had a serious effect on its immobilization. The membranes were characterized by scanning electron microscope, Fourier transform infrared spectroscopy and X-ray diffraction. Furthermore, the glycosylation can significantly enhance the stability of recombinant polygalacturonases. Meanwhile, the glycosylation influenced their specific activity and degradation pattern. Most interesting of all, some d-galacturonic acid monomers occurred in the hydrolysate after the degradation of pectin by the non-glycosylated polygalacturonase, and the yield of reducing sugar could be 31.98 mg after 60min, with a conversion rate of 63.96%. Thus, the constructed reactor has potential in using pectin-rich biomass as the feedstock.

Keywords: Pectin-rich biomass; Polygalacturonase; Electrospun chitosan-based nanofibrous membrane reactor; Glycosylation; Immobilization (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:126:y:2018:i:c:p:573-582

DOI: 10.1016/j.renene.2017.08.094

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