Knowledge Management System Of Guangzhou Institute of Energy Conversion, CAS
| Kinetic Model Study on Enzymatic Hydrolysis of Cellulose Using Artificial Neural Networks | |
| Alternative Title | 纤维素酶水解动力学的人工神经网络模型研究 |
Zhang Yu1,2 ; Xu Jingliang1; Yuan Zhenhong1; Zhuang Xinshu1; Lue Pengmei1
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| 2009-04-01 | |
| Source Publication | CHINESE JOURNAL OF CATALYSIS
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| ISSN | 0253-9837 |
| Volume | 30Issue:4Pages:355-358 |
| Corresponding Author | yuanzh@ms.giec.ac.cn |
| Abstract | Enzymatic hydrolysis of cellulose was highly complex because of the unclear enzymatic mechanism and many factors that affect the heterogeneous system. Therefore, it is difficult to build a theoretical model to study cellulose hydrolysis by cellulase. Artificial neural network (ANN) was used to simulate and predict this enzymatic reaction and compared with the response surface model (RSM). The independent variables were cellulase amount X(1), substrate concentration X(2), and reaction time X(3), and the response variables were reducing sugar concentration Y(1) and transformation rate of the raw material Y(2). The experimental results showed that ANN was much more suitable for studying the kinetics of the enzymatic hydrolysis than RSM. During the simulation process, relative errors produced by the ANN model were apparently smaller than that by RSM except one and the central experimental points. During the prediction process, values produced by the ANN model were much closer to the experimental values than that produced by RSM. These showed that ANN is a persuasive tool that can be used for studying the kinetics of cellulose hydrolysis catalyzed by cellulase. |
| Subtype | Article |
| Other Abstract | Enzymatic hydrolysis of cellulose was highly complex because of the unclear enzymatic mechanism and many factors that affect the heterogeneous system. Therefore, it is difficult to build a theoretical model to study cellulose hydrolysis by cellulase. Artificial neural network (ANN) was used to simulate and predict this enzymatic reaction and compared with the response surface model (RSM). The independent variables were cellulase amount X-1, substrate concentration X-2, and reaction time X-3, and the response variables were reducing sugar concentration Y-1 and transformation rate of the raw material Y-2. The experimental results showed that ANN was much more suitable for studying the kinetics of the enzymatic hydrolysis than RSM. During the simulation process, relative errors produced by the ANN model were apparently smaller than that by RSM except one and the central experimental points. During the prediction process, values produced by the ANN model were much closer to the experimental values than that produced by RSM. These showed that ANN is a persuasive tool that can be used for studying the kinetics of cellulose hydrolysis catalyzed by cellulase. |
| Keyword | Enzymatic Kinetics Enzymatic Hydrolysis Of Cellulose Artificial Neural Network Response Surface Model Heterogeneous Catalysis |
| WOS Headings | Science & Technology ; Physical Sciences ; Technology |
| WOS Subject Extended | Chemistry ; Engineering |
| WOS Keyword | HIGH-THROUGHPUT ; OPTIMIZATION |
| Indexed By | SCI |
| Language | 英语 |
| Funding Organization | 国家高技术研究发展计划(863计划, 2007AA100702-4 和 2007AA05Z406);中国科学院知识创新工程重大项目(KSCX1-YW-11-A3)和重要方向项目(KSCX2-YW-G-063-1) |
| WOS Subject | Chemistry, Applied ; Chemistry, Physical ; Engineering, Chemical |
| WOS ID | WOS:000267277100015 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.giec.ac.cn/handle/344007/3334 |
| Collection | 中国科学院广州能源研究所 |
| Affiliation | 1.Chinese Acad Sci, Key Lab Renewable Energy & Gas Hydrate, Guangzhou Inst Energy Convers, 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. Kinetic Model Study on Enzymatic Hydrolysis of Cellulose Using Artificial Neural Networks[J]. CHINESE JOURNAL OF CATALYSIS,2009,30(4):355-358. |
| APA | Zhang Yu,Xu Jingliang,Yuan Zhenhong,Zhuang Xinshu,&Lue Pengmei.(2009).Kinetic Model Study on Enzymatic Hydrolysis of Cellulose Using Artificial Neural Networks.CHINESE JOURNAL OF CATALYSIS,30(4),355-358. |
| MLA | Zhang Yu,et al."Kinetic Model Study on Enzymatic Hydrolysis of Cellulose Using Artificial Neural Networks".CHINESE JOURNAL OF CATALYSIS 30.4(2009):355-358. |
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