Enhanced lignin removal and enzymolysis efficiency of grass waste by hydrogen peroxide synergized dilute alkali pretreatment
文献类型： 外文期刊
作者： Yan, Xing 1 ; Cheng, Jing-Rong 1 ; Wang, Yu-Tao 4 ; Zhu, Ming-Jun 1 ;
作者机构： 1.South China Univ Technol, Guangzhou Higher Educ Mega Ctr, Sch Biol & Biol Engn, Guangzhou 510006, Peoples R China
2.South China Univ Technol, Guangzhou Higher Educ Mega Ctr, Guangdong Prov Engn & Technol Res Ctr Biopharmace, Guangzhou 510006, Peoples R China
3.Guangdong Acad Agr Sci, Guangdong Key Lab Agr Prod Proc, Sericultural & Agrifood Res Inst, Minist Agr,Key Lab Funct Foods, Guangzhou 510610, Peoples R China
4.Kashi Univ, Coll Life & Geog Sci, Kashi 844000, Peoples R China
5.Kashi Univ, Key Lab Biol Resources & Ecol Pamirs Plateau Xinj, Key Lab Ecol & Biol Resources Yarkand Oasis Colle, Dept Educ Xinjiang Uygur Autonomous Reg, Kashi 844000, Peoples R China
关键词： Grass waste; Synergistic pretreatment; Lignin oxidation removal; Enzymatic hydrolysis; Bioethanol
期刊名称：BIORESOURCE TECHNOLOGY （ 影响因子：9.642； 五年影响因子：9.237 ）
ISSN： 0960-8524
年卷期： 2020 年 301 卷
页码：
收录情况： SCI
摘要： Pretreatment process plays a key role in biofuel production from lignocellulosic feedstocks. A study on dilute NaOH pretreatment supplemented with H2O2 under mild condition was conducted to overcome the recalcitrance of grass waste (GW). The optimized process could selectively increase lignin removal (73.2%), resulting in high overall recovery of holocellulose (73.8%) as well as high enzymolysis efficiency (83.5%) compared to H2O2 or NaOH pretreatment. The analyses by Scanning electron microscopy (SEM), X-ray diffraction (XRD) and Fourier transform infrared spectroscopy (FT-IR) revealed that supplementary H2O2 disrupted the structure of GW to facilitate the removal of lignin by NaOH, and exhibited synergistic effect on lignin removal and enzymolysis with dilute NaOH. Moreover, high titer of ethanol (100.7 g/L) was achieved by SSCF on 30% (w/v) pretreated GW loading. The present study suggests that the established synergistic pretreatment is a simple, efficient, and promising process for GW biorefinery.
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