title: Artificial intelligence techniques to optimize the EDC/NHS-mediated immobilization of cellulase on Eudragit L-100.
abstract: Two artificial intelligence techniques, namely artificial neural network (ANN) and genetic algorithm (GA) were combined to be used as a tool for optimizing the covalent immobilization of cellulase on a smart polymer, Eudragit L-100. 1-Ethyl-3-(3-dimethyllaminopropyl) carbodiimide (EDC) concentration, N-hydroxysuccinimide (NHS) concentration and coupling time were taken as independent variables, and immobilization efficiency was taken as the response. The data of the central composite design were used to train ANN by back-propagation algorithm, and the result showed that the trained ANN fitted the data accurately (correlation coefficient R(2) = 0.99). Then a maximum immobilization efficiency of 88.76% was searched by genetic algorithm at a EDC concentration of 0.44%, NHS concentration of 0.37% and a coupling time of 2.22 h, where the experimental value was 87.97 ± 6.45%. The application of ANN based optimization by GA is quite successful.
authors.affiliation: Key Laboratory of Renewable Energy and Gas Hydrate & Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China.
authors.forename: Yu
authors.initials: Y
authors.lastname: Zhang
authors.affiliation: Key Laboratory of Renewable Energy and Gas Hydrate & Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China.
authors.forename: Jing-Liang
authors.initials: JL
authors.lastname: Xu
authors.affiliation: Key Laboratory of Renewable Energy and Gas Hydrate & Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China.
authors.forename: Zhen-Hong
authors.initials: ZH
authors.lastname: Yuan
authors.affiliation: Key Laboratory of Renewable Energy and Gas Hydrate & Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China.
authors.forename: Wei
authors.initials: W
authors.lastname: Qi
authors.affiliation: Key Laboratory of Renewable Energy and Gas Hydrate & Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China.
authors.forename: Yun-Yun
authors.initials: YY
authors.lastname: Liu
authors.affiliation: Key Laboratory of Renewable Energy and Gas Hydrate & Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China.
authors.forename: Min-Chao
authors.initials: MC
authors.lastname: He
mesh_terms: D000465:Algorithms; D055162:Biocatalysis; D002480:Cellulase / Q000737:chemistry*; D003198:Computer Simulation; D004800:Enzymes, Immobilized / Q000737:chemistry*; D005022:Ethyldimethylaminopropyl Carbodiimide / Q000737:chemistry*; D005656:Fungal Proteins / Q000737:chemistry*; D008956:Models, Chemical; D016571:Neural Networks, Computer; D013388:Succinimides / Q000737:chemistry*
chemical_list: D004800:Enzymes, Immobilized; D005656:Fungal Proteins; D013388:Succinimides; D002480:Cellulase; C001426:N-hydroxysuccinimide; D005022:Ethyldimethylaminopropyl Carbodiimide