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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, Jingliang1; Yuan, Zhenhong1; Xu, Huijuan1; Yu, Qiang1,2
2010-05-01
发表期刊BIORESOURCE TECHNOLOGY
ISSN0960-8524
卷号101期号:9页码:3153-3158
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
通讯作者yuanzh@ms.giec.ac.cn
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.
文章类型Article
其他摘要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.
关键词Immobilized Cellulase Artificial Neural Network Smart Biocatalysis Response Surface Methodology Generic Algorithm
学科领域Agriculture ; Biotechnology & Applied Microbiology ; Energy & Fuels
WOS标题词Science & Technology ; Life Sciences & Biomedicine ; Technology
DOI10.1016/j.biortech.2009.12.080
研究领域[WOS]Agriculture ; Biotechnology & Applied Microbiology ; Energy & Fuels
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关键词[WOS]XYLAN-DEGRADING ENZYMES ; REPEATED HYDROLYSIS ; MEDIA OPTIMIZATION ; INTELLIGENCE ; KINETICS ; BIOMASS ; MODEL ; ACID
收录类别SCI
语种英语
项目资助者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]
WOS类目Agricultural Engineering ; Biotechnology & Applied Microbiology ; Energy & Fuels
WOS记录号WOS:000274972600035
引用统计
被引频次:55[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符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
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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.
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