Artificial Intelligence Techniques to Optimize the EDC/NHS-Mediated Immobilization of Cellulase on Eudragit L-100 |
| |
| Authors: | Yu Zhang Jing-Liang Xu Zhen-Hong Yuan Wei Qi Yun-Yun Liu Min-Chao He |
| |
| Affiliation: | Key Laboratory of Renewable Energy and Gas Hydrate & Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China; E-Mails: zhangyu@ms.giec.ac.cn (Y.Z.); yuanzh@ms.giec.ac.cn (Z.-H.Y.); qiwei@ms.giec.ac.cn (W.Q.); liuyun@ms.giec.ac.cn (Y.-Y.L.); hemc@ms.giec.ac.cn (M.-C.H.). |
| |
| 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. |
| |
| Keywords: | immobilized enzyme cellulase artificial intelligence based optimization smart biocatalyst carbodiimide coupling |
| 本文献已被 PubMed 等数据库收录！ |
|
