Abstract
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.
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