Literature DB >> 29254057

Exploring the mechanism of high degree of delignification inhibits cellulose conversion efficiency.

Dayong Ding1, Xia Zhou1, Tingting You1, Xun Zhang1, Xueming Zhang1, Feng Xu2.   

Abstract

This study explored the mechanism that high degree of delignification (DD) inhibits enzymatic hydrolysis. Sample with DD of 86.22% achieved the highest cellulose conversion of 68.26%, and the cell wall exhibited defibrillation of macrofibrils and erosion of microfibrils during enzymatic hydrolysis. Cracks between microfibrils are formed within the cell wall, getting the largest specific surface area, which greatly enhanced cellulose conversion. However, high DD of 96.58% resulted in dramatic reduction of cellulose conversion to 56.60% which was evidenced to be the synergistic effect of internal cell wall collapse and microfibrils reaggregation. These ultrastructural changes dominated upon this condition and induced a more compact surface structure which significantly hinders the accessibility of cellulase. The CrI value increased after delignification but changed little with the increased DD, suggesting limited influence of DD on crystalline structure. The results indicate that certain amount of lignin retained may be essential to enhance cellulose conversion.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cellulose conversion; Delignification; Morphology; Pore structure; Topochemistry

Year:  2017        PMID: 29254057     DOI: 10.1016/j.carbpol.2017.11.057

Source DB:  PubMed          Journal:  Carbohydr Polym        ISSN: 0144-8617            Impact factor:   9.381


  2 in total

1.  Exploring why sodium lignosulfonate influenced enzymatic hydrolysis efficiency of cellulose from the perspective of substrate-enzyme adsorption.

Authors:  Wenqiu Zheng; Tianqing Lan; Hui Li; Guojun Yue; Haifeng Zhou
Journal:  Biotechnol Biofuels       Date:  2020-01-30       Impact factor: 6.040

2.  Predictive Modeling of Lignin Content for the Screening of Suitable Poplar Genotypes Based on Fourier Transform-Raman Spectrometry.

Authors:  Wenli Gao; Ting Shu; Qiang Liu; Shengjie Ling; Ying Guan; Shengquan Liu; Liang Zhou
Journal:  ACS Omega       Date:  2021-03-18
  2 in total

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