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kineticmodelstudyonenzymatichydrolysisofcelluloseusingartificialneuralnetworks
Zhang Y(张宇); Xu JL(许敬亮); Yuan ZH(袁振宏); Zhuang XS(庄新姝); Lv PM(吕鹏梅)
2009
发表期刊chinesejournalofcatalysis
ISSN0253-9837
卷号30期号:4页码:355
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.
语种英语
文献类型期刊论文
条目标识符http://ir.giec.ac.cn/handle/344007/20230
专题中国科学院广州能源研究所
作者单位中国科学院广州能源研究所
第一作者单位中国科学院广州能源研究所
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GB/T 7714
Zhang Y,Xu JL,Yuan ZH,et al. kineticmodelstudyonenzymatichydrolysisofcelluloseusingartificialneuralnetworks[J]. chinesejournalofcatalysis,2009,30(4):355.
APA 张宇,许敬亮,袁振宏,庄新姝,&吕鹏梅.(2009).kineticmodelstudyonenzymatichydrolysisofcelluloseusingartificialneuralnetworks.chinesejournalofcatalysis,30(4),355.
MLA 张宇,et al."kineticmodelstudyonenzymatichydrolysisofcelluloseusingartificialneuralnetworks".chinesejournalofcatalysis 30.4(2009):355.
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