中国科学院机构知识库网格系统: Kinetic Model Study on Enzymatic Hydrolysis of Cellulose Using Artificial Neural Networks

Kinetic Model Study on Enzymatic Hydrolysis of Cellulose Using Artificial Neural Networks

文献类型：期刊论文


作者	Zhang Yu1,2 ; Xu Jingliang1 ; Yuan Zhenhong1 ; Zhuang Xinshu1 ; Lue Pengmei 1
刊名	chinese journal of catalysis
出版日期	2009-04-01
卷号	30 期号:4 页码:355-358
关键词	enzymatic kinetics enzymatic hydrolysis of cellulose artificial neural network response surface model heterogeneous catalysis
ISSN号	0253-9837
其他题名	纤维素酶水解动力学的人工神经网络模型研究
通讯作者	yuanzh@ms.giec.ac.cn
中文摘要	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.
英文摘要	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.
WOS标题词	science & technology ; physical sciences ; technology
类目[WOS]	chemistry, applied ; chemistry, physical ; engineering, chemical
研究领域[WOS]	chemistry ; engineering
关键词[WOS]	high-throughput ; optimization
收录类别	SCI
资助信息	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)
语种	英语
WOS记录号	WOS:000267277100015
公开日期	2010-09-16
附注	酶作用机制的模糊以及影响异相体系因素的大量存在, 使得纤维素水解的酶催化过程高度复杂, 很难为之建立理论模型. 采用非理论模型人工神经网络模拟和预测了纤维素酶水解反应, 并与常用的响应面模型进行了比较. 选取加酶量 x1, 底物浓度 x2 和反应时间 x3 作为自变量, 还原糖浓度 y1 和原料转化率 y2 作为响应值. 结果表明, 人工神经网络模型比响应面模型更适合作为研究纤维素酶水解的动力学工具. 在模拟过程中, 除中心试验点外, 只有 1 个试验点上人工神经网络模拟值 y2 产生的误差大于响应面模型. 在预测过程中, 人工神经网络模型的预测值都比响应面模型更接近实验值.
源URL	[http://ir.giec.ac.cn/handle/344007/3334]
专题	中国科学院广州能源研究所
作者单位	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
推荐引用方式 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.

入库方式： OAI收割

来源：广州能源研究所

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Kinetic Model Study on Enzymatic Hydrolysis of Cellulose Using Artificial Neural Networks

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