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Multivariate analysis of the process of deep eutectic solvent pretreatment of lignocellulosic biomass
Industrial Crops and Products ( IF 5.9 ) Pub Date : 2020-04-02 , DOI: 10.1016/j.indcrop.2020.112363
Huanfei Xu , Yi Kong , Jianjun Peng , Xiaoming Song , Xinpeng Che , Shiwei Liu , Wende Tian

In this study, multivariate analysis methods were used to reveal inner-relationship among key variables of deep eutectic solvents (DES) pretreatment of lignocellulosic biomass. Principal component analysis (PCA) and partial least square (PLS) were performed to analyze the effects of characterization of biomass material, physicochemical properties of DES and pretreatment conditions on the efficiency of pretreatment in the choline chloride based DES pretreatment. The results revealed that temperature and severity of the reaction were the most important process parameters of the pretreatment. The physical and chemical parameters of DES related to hydrogen bonds were beneficial to get better delignification rate and recovery rate of glucan. This paper provided novel perspective for further understanding of DES pretreatment, designing DES, and optimizing process control of DES pretreatment.



中文翻译:

低共熔溶剂预处理木质纤维素生物质过程的多变量分析

在这项研究中,多变量分析方法被用来揭示木质纤维素生物质深共熔溶剂(DES)预处理关键变量之间的内在联系。进行了主成分分析(PCA)和偏最小二乘(PLS),以分析基于氯化胆碱的DES预处理中生物质材料的表征,DES的理化性质和预处理条件对预处理效率的影响。结果表明,反应的温度和强度是预处理的最重要的工艺参数。与氢键有关的DES的理化参数有利于获得较好的葡聚糖脱木素率和回收率。本文为进一步了解DES预处理,设计DES,

更新日期:2020-04-03
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