Issue 19, 2018, Issue in Progress
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RSC Advances

Effects of combined pretreatment of dilute acid pre-extraction and chemical-assisted mechanical refining on enzymatic hydrolysis of lignocellulosic biomass

Wei Liu, ORCID logo *ab   Wei Chen,ab   Qingxi Hou,a   Si Wanga  and  Fang Liua  

* Corresponding authors

a Tianjin Key Laboratory of Pulp & Paper, Tianjin University of Science & Technology, Tianjin 300457, China
E-mail: [email protected]

b State Key Laboratory of Pulp and Paper Engineering, South China University of Technology, Guangzhou 510640, China

Abstract

An efficient enzymatic hydrolysis of lignocellulosic biomass into fermentable sugars depends greatly on the pretreatment of raw materials. In this study, a combination of dilute acid pre-extraction and chemical-assisted mechanical refining was used to pretreat wood lignocellulosic biomass for subsequent enzymatic hydrolysis. This work analyzed the surface lignin concentration, specific surface area, crystallinity, fines content, fiber length, and kink index of the resultant pulp substrates and their effects on the enzymatic hydrolysis. The results showed that the combined pretreatment significantly enhanced the enzymatic hydrolysis efficiency, and the maximum glucose conversion yield and glucose concentration were 93.32% and 21.41 g L−1, respectively. It is found that the surface lignin concentration, specific surface area, and fines content significantly affected the enzymatic hydrolysis.

Graphical abstract: Effects of combined pretreatment of dilute acid pre-extraction and chemical-assisted mechanical refining on enzymatic hydrolysis of lignocellulosic biomass

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Article information

DOI
https://doi.org/10.1039/C7RA12732D
Article type
Paper
Submitted
24 Nov 2017
Accepted
19 Feb 2018
First published
13 Mar 2018
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2018,8, 10207-10214

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Effects of combined pretreatment of dilute acid pre-extraction and chemical-assisted mechanical refining on enzymatic hydrolysis of lignocellulosic biomass

W. Liu, W. Chen, Q. Hou, S. Wang and F. Liu, RSC Adv., 2018, 8, 10207 DOI: 10.1039/C7RA12732D

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