Artificial neural network-genetic algorithm based optimization for the immobilization of cellulase on the smart polymer Eudragit L-100

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	Artificial neural network-genetic algorithm based optimization for the immobilization of cellulase on the smart polymer Eudragit L-100
	Zhang, Yu1,2 ; Xu, Jingliang 1; Yuan, Zhenhong1 ; Xu, Huijuan 1; Yu, Qiang 1,2
刊名	bioresource technology
	2010-05-01
卷号	101 期号:9 页码:3153-3158
关键词	Immobilized cellulase Artificial neural network Smart biocatalysis Response surface methodology Generic algorithm
ISSN号	0960-8524
通讯作者	yuanzh@ms.giec.ac.cn
产权排序	[zhang, yu; xu, jingliang; yuan, zhenhong; xu, huijuan; yu, qiang] chinese acad sci, guangzhou inst energy convers, key lab renewable energy & gas hydrate, guangzhou 510640, guangdong, peoples r china; [zhang, yu; yu, qiang] chinese acad sci, grad univ, beijing 100049, peoples r china
中文摘要	cellulase was covalently immobilized on a smart polymer, eudragit l-100 by carbodiimide coupling. using data of central composite design, response surface methodology (rsm) and artificial neural network (ann) were developed to investigate the effect of ph, carbodiimide concentration, and coupling time on the activity yield of immobilized cellulase. results showed simulation and prediction accuracy of ann was apparently higher compared to rsm. the maximum activity yield obtained from rsm was 57.56% at ph 5.54, carbodiimide concentration 0.32%, and coupling time 3.03 h, where the experimental value was 60.87 +/- 4.79%. using ann as fitness function, a maximum activity yield of 69.83% was searched by genetic algorithm at ph 5.07, carbodiimide concentration 0.36%, and coupling time 4.10 h, where the experimental value was 66.75 +/- 5.21%. ann gave a 9.7% increase of activity yield over rsm. after reusing immobilized cellulase for 5 cycles, the remaining productivity was over 50%. (c) 2009 elsevier ltd. all rights reserved.
英文摘要	cellulase was covalently immobilized on a smart polymer, eudragit l-100 by carbodiimide coupling. using data of central composite design, response surface methodology (rsm) and artificial neural network (ann) were developed to investigate the effect of ph, carbodiimide concentration, and coupling time on the activity yield of immobilized cellulase. results showed simulation and prediction accuracy of ann was apparently higher compared to rsm. the maximum activity yield obtained from rsm was 57.56% at ph 5.54, carbodiimide concentration 0.32%, and coupling time 3.03 h, where the experimental value was 60.87 +/- 4.79%. using ann as fitness function, a maximum activity yield of 69.83% was searched by genetic algorithm at ph 5.07, carbodiimide concentration 0.36%, and coupling time 4.10 h, where the experimental value was 66.75 +/- 5.21%. ann gave a 9.7% increase of activity yield over rsm. after reusing immobilized cellulase for 5 cycles, the remaining productivity was over 50%. (c) 2009 elsevier ltd. all rights reserved.
学科主题	agriculture ; biotechnology & applied microbiology ; energy & fuels
WOS标题词	science & technology ; life sciences & biomedicine ; technology
类目[WOS]	agricultural engineering ; biotechnology & applied microbiology ; energy & fuels
研究领域[WOS]	agriculture ; biotechnology & applied microbiology ; energy & fuels
关键词[WOS]	xylan-degrading enzymes ; repeated hydrolysis ; media optimization ; intelligence ; kinetics ; biomass ; model ; acid
收录类别	SCI
资助信息	chinese academy of sciences [kscx-yw-11-a3, kscx2-yw-g-075, kscx2-yw-g-063]; national high technology research and development program of china [2007aa05z406, 2007aa100702-4, 2009aa05z436]
原文出处	https://dx.doi.org/10.1016/j.biortech.2009.12.080
语种	英语
WOS记录号	WOS:000274972600035
公开日期	2014-12-24
内容类型	期刊论文
源URL	[http://ir.giec.ac.cn/handle/344007/8501]
专题	中国科学院广州能源研究所生物质能源生化转化实验室
作者单位	1.Chinese Acad Sci, Guangzhou Inst Energy Convers, Key Lab Renewable Energy & Gas Hydrate, Guangzhou 510640, Guangdong, Peoples R China 2.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Yu,Xu, Jingliang,Yuan, Zhenhong,et al. Artificial neural network-genetic algorithm based optimization for the immobilization of cellulase on the smart polymer Eudragit L-100[J]. bioresource technology,2010,101(9):3153-3158.
APA	Zhang, Yu,Xu, Jingliang,Yuan, Zhenhong,Xu, Huijuan,&Yu, Qiang.(2010).Artificial neural network-genetic algorithm based optimization for the immobilization of cellulase on the smart polymer Eudragit L-100.bioresource technology,101(9),3153-3158.
MLA	Zhang, Yu,et al."Artificial neural network-genetic algorithm based optimization for the immobilization of cellulase on the smart polymer Eudragit L-100".bioresource technology 101.9(2010):3153-3158.