Knowledge Management System Of Guangzhou Institute of Energy Conversion, CAS
| 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
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| 2010-05-01 | |
| 发表期刊 | BIORESOURCE TECHNOLOGY
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| ISSN | 0960-8524 |
| 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 |
| DOI | 10.1016/j.biortech.2009.12.080 |
| 研究领域[WOS] | Agriculture ; Biotechnology & Applied Microbiology ; Energy & Fuels |
| URL | 查看原文 |
| 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 | |
| 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 |
| 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. |
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