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Optimization of an artificial cellulase cocktail for high-solids enzymatic hydrolysis of cellulosic materials with different pretreatment methods
- Source :
- Bioresource Technology. 295:122272
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Optimization of the composition of cellulase mixtures is an effective strategy to improve their hydrolytic efficiency and reduce protein demand during enzymatic degradation of lignocelluloses. In this study, the mixture design method was used to optimize the ratios of endoglucanase II (EG II), cellobiohydrolase I (CBH I) and β-glucosidase I (BG I) from Penicillium oxalicum in an artificial cellulase mixture for the hydrolysis of six different cellulosic materials. The optimal composition of enzyme mixture was distinctly different among not only cellulosic materials with different pretreatment methods but hydrolyses at different solids concentrations. CBH I was most critical for the hydrolysis of two acid-pretreated materials, probably due to its strong adsorption on lignin. A higher proportion of EG II was needed for the hydrolysis of ammonium sulfite pretreated wheat straw. The requirements of specific cellulase components were more pronounced at high solids concentrations, highlighting the importance of considering solids loading when optimizing cellulase cocktails.
- Subjects :
- 0106 biological sciences
Environmental Engineering
Lignocellulosic biomass
Bioengineering
Cellulase
010501 environmental sciences
Lignin
01 natural sciences
chemistry.chemical_compound
Hydrolysis
010608 biotechnology
Enzymatic hydrolysis
Cellulose 1,4-beta-Cellobiosidase
Cellulose
Waste Management and Disposal
Ammonium sulfite
0105 earth and related environmental sciences
Chromatography
biology
Renewable Energy, Sustainability and the Environment
beta-Glucosidase
General Medicine
Straw
chemistry
Cellulosic ethanol
biology.protein
Adsorption
Subjects
Details
- ISSN :
- 09608524
- Volume :
- 295
- Database :
- OpenAIRE
- Journal :
- Bioresource Technology
- Accession number :
- edsair.doi.dedup.....efb4f1d6a30b46ebe6b54c2ce3d6f0c2
- Full Text :
- https://doi.org/10.1016/j.biortech.2019.122272