Knowledge Management System Of Guangzhou Institute of Energy Conversion, CAS
| ANN AND RSM BASED OPTIMIZATION OF CELLULASE PRODUCTION BY HYPOCREA SP Z28 BY SUBMERGED FERMENTATION | |
Zhang, Yu1,2 ; Zhang, Xiaohuan1,2,3; Qi, Wei1,2; Xu, Jingliang1,2; Yuan, Zhenhong1,2; Wang, Zhongming1,2
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| 2018-03-01 | |
| Source Publication | CELLULOSE CHEMISTRY AND TECHNOLOGY
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| ISSN | 0576-9787 |
| Volume | 52Issue:3-4Pages:259-264 |
| Corresponding Author | Xu, Jingliang(xjl@ms.giec.ac.cn) |
| Abstract | Response surface methodology (RSM) and artificial neural network (ANN) were used to simulate and optimize cellulase production by Hypocrea sp. Z28 by submerged fermentation. Results showed ANN had higher simulation accuracy than RSM. Cellulase production optimized by RSM was 5.48 U/mL, while the corresponding experimental value was 5.67 +/- 0.32 U/mL. Using ANN as a prediction function, a maximum cellulase production of 5.96 U/mL was searched by the genetic algorithm, and the corresponding experimental value was 6.01 +/- 0.43 U/mL. Compared to RSM, ANN brought higher and more accurate cellulase production values. The application of ANN to optimize cellulase production proved successful. |
| Keyword | cellulase production submerged fermentation artificial neural network-genetic algorithm bioprocess optimization response surface methodology Hypocrea sp. |
| WOS Keyword | RESPONSE-SURFACE METHODOLOGY ; ARTIFICIAL NEURAL-NETWORKS ; SOLID-STATE FERMENTATION ; DEXTRANICUM NRRL B-1146 ; EXOCELLULAR GLUCANSUCRASE ; MICROBIAL CELLULASES ; ENHANCED PRODUCTION ; MODELS ; STRAIN |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | National Natural Science Foundation of China[21506215] ; National Natural Science Foundation of China[51561145015] |
| WOS Research Area | Materials Science |
| Funding Organization | National Natural Science Foundation of China |
| WOS Subject | Materials Science, Paper & Wood |
| WOS ID | WOS:000441008600012 |
| Publisher | EDITURA ACAD ROMANE |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.giec.ac.cn/handle/344007/23698 |
| Collection | 中国科学院广州能源研究所 |
| Corresponding Author | Xu, Jingliang |
| Affiliation | 1.Chinese Acad Sci, Key Lab Renewable Energy, Guangzhou Inst Energy Convers, Guangzhou 510640, Guangdong, Peoples R China 2.Guangdong Prov Key Lab New & Renewable Energy Res, Guangzhou 510640, Guangdong, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| Recommended Citation GB/T 7714 | Zhang, Yu,Zhang, Xiaohuan,Qi, Wei,et al. ANN AND RSM BASED OPTIMIZATION OF CELLULASE PRODUCTION BY HYPOCREA SP Z28 BY SUBMERGED FERMENTATION[J]. CELLULOSE CHEMISTRY AND TECHNOLOGY,2018,52(3-4):259-264. |
| APA | Zhang, Yu,Zhang, Xiaohuan,Qi, Wei,Xu, Jingliang,Yuan, Zhenhong,&Wang, Zhongming.(2018).ANN AND RSM BASED OPTIMIZATION OF CELLULASE PRODUCTION BY HYPOCREA SP Z28 BY SUBMERGED FERMENTATION.CELLULOSE CHEMISTRY AND TECHNOLOGY,52(3-4),259-264. |
| MLA | Zhang, Yu,et al."ANN AND RSM BASED OPTIMIZATION OF CELLULASE PRODUCTION BY HYPOCREA SP Z28 BY SUBMERGED FERMENTATION".CELLULOSE CHEMISTRY AND TECHNOLOGY 52.3-4(2018):259-264. |
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