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Multivariate data analysis applied in alkali-based pretreatment of corn stover
- Source :
- Resources, Conservation and Recycling. 122:307-318
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
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.
- Subjects :
- Economics and Econometrics
Multivariate statistics
Chromatography
020209 energy
Pulp (paper)
Lignocellulosic biomass
02 engineering and technology
010501 environmental sciences
engineering.material
01 natural sciences
chemistry.chemical_compound
Hydrolysis
Corn stover
chemistry
Enzymatic hydrolysis
0202 electrical engineering, electronic engineering, information engineering
engineering
Lignin
Waste Management and Disposal
0105 earth and related environmental sciences
Refining (metallurgy)
Subjects
Details
- ISSN :
- 09213449
- Volume :
- 122
- Database :
- OpenAIRE
- Journal :
- Resources, Conservation and Recycling
- Accession number :
- edsair.doi...........342cfd410b1be5f3f4d7cf576b183e14