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
| |
| 2010-05-01 | |
| Source Publication | BIORESOURCE TECHNOLOGY
 |
| ISSN | 0960-8524 |
| Volume | 101Issue:9Pages:3153-3158 |
| Contribution Rank | [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 |
| Corresponding Author | yuanzh@ms.giec.ac.cn |
| Abstract | 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. |
| Subtype | Article |
| Other Abstract | 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. |
| Keyword | Immobilized Cellulase Artificial Neural Network Smart Biocatalysis Response Surface Methodology Generic Algorithm |
| Subject Area | Agriculture ; Biotechnology & Applied Microbiology ; Energy & Fuels |
| WOS Headings | Science & Technology ; Life Sciences & Biomedicine ; Technology |
| DOI | 10.1016/j.biortech.2009.12.080 |
| WOS Subject Extended | Agriculture ; Biotechnology & Applied Microbiology ; Energy & Fuels |
| URL | 查看原文 |
| WOS Keyword | XYLAN-DEGRADING ENZYMES ; REPEATED HYDROLYSIS ; MEDIA OPTIMIZATION ; INTELLIGENCE ; KINETICS ; BIOMASS ; MODEL ; ACID |
| Indexed By | SCI |
| Language | 英语 |
| Funding Organization | 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 Subject | Agricultural Engineering ; Biotechnology & Applied Microbiology ; Energy & Fuels |
| WOS ID | WOS:000274972600035 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.giec.ac.cn/handle/344007/8501 |
| Collection | 中国科学院广州能源研究所 生物质能源生化转化实验室 |
| Affiliation | 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 |
| Recommended Citation 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. |
| Files in This Item: | Download All | |||||
| File Name/Size | DocType | Version | Access | License | ||
| Artificial neural ne（411KB） | 开放获取 | CC BY-NC-SA | View Download | |||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment