Multivariate data analysis applied in alkali-based pretreatment of corn stover

Bin Li, Li Ding, Huanfei Xu, Xindong Mu and Haisong Wang

Resources, Conservation & Recycling, 2017, vol. 122, issue C, 307-318

Abstract: In this paper, variables of Pulp Refining Instrument (PFI) refining assisted alkaline pretreatment and hydrolysis saccharification of corn stover were analyzed. The process parameters were characterized by multivariate data analysis methods including Principle Component Analysis and Partial Least Square (PCA and PLS) to investigate the specific relationships of primary variables in alkali-based pretreatment of biomass. In this paper, pretreatment system was multivariate and the variables were inter-related to each other. Total alkaline charge and removal rate of lignin had greatest impact on the pretreatment and enzymatic hydrolysis.

Keywords: Multivariate data analysis; Lignocellulosic biomass; Alkali-based pretreatment; Enzymatic saccharification (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:eee:recore:v:122:y:2017:i:c:p:307-318

DOI: 10.1016/j.resconrec.2016.12.007

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