Knowledge Management System Of Guangzhou Institute of Energy Conversion, CAS
| Medium optimization for ethanol production with Clostridium autoethanogenum with carbon monoxide as sole carbon source | |
Guo, Ying1,2; Xu, Jingliang1; Zhang, Yu1,2 ; Xu, Huijuan1; Yuan, Zhenhong1; Li, Dong1,2
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| 2010-11-01 | |
| Source Publication | BIORESOURCE TECHNOLOGY
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| ISSN | 0960-8524 |
| Volume | 101Issue:22Pages:8784-8789 |
| Contribution Rank | [Guo, Ying; Xu, Jingliang; Zhang, Yu; Xu, Huijuan; Yuan, Zhenhong; Li, Dong] Chinese Acad Sci, Guangzhou Inst Energy Convers, Key Lab Renewable Energy & Gas Hydrate, Guangzhou 510640, Peoples R China; [Guo, Ying; Zhang, Yu; Li, Dong] Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China |
| Corresponding Author | xjl@ms.giec.ac.cn ; yuanzh@ms.giec.ac.cn |
| Abstract | Plackett-Burman and central composite designs were applied to optimize the medium for ethanol production by Clostridium autoethanogenum with CO as sole carbon source, and a medium containing (g/L): NaCl 1.0, KH(2)PO(4) 0.1, CaCl(2) 0.02, yeast extract 0.15. MgSO(4) 0.116, NH(4)Cl 1.694 and pH 4.74 was found optimal. The optimum ethanol yields predicted by response surface methodology (RSM) and an artificial neural network-genetic algorithm (ANN-GA) were 247.48 and 261.48 mg/L, respectively. These values are similar to those obtained experimentally under the optimal conditions suggested by the statistical methods (254.26 and 259.64 mg/L). The fitness of the ANN-GA model was higher than that of the RSM model. The yields obtained substantially exceed those previously reported (60-70 mg/L) with this organism. (C) 2010 Elsevier Ltd. All rights reserved. |
| Subtype | Article |
| Other Abstract | Plackett-Burman and central composite designs were applied to optimize the medium for ethanol production by Clostridium autoethanogenum with CO as sole carbon source, and a medium containing (g/L): NaCl 1.0, KH(2)PO(4) 0.1, CaCl(2) 0.02, yeast extract 0.15. MgSO(4) 0.116, NH(4)Cl 1.694 and pH 4.74 was found optimal. The optimum ethanol yields predicted by response surface methodology (RSM) and an artificial neural network-genetic algorithm (ANN-GA) were 247.48 and 261.48 mg/L, respectively. These values are similar to those obtained experimentally under the optimal conditions suggested by the statistical methods (254.26 and 259.64 mg/L). The fitness of the ANN-GA model was higher than that of the RSM model. The yields obtained substantially exceed those previously reported (60-70 mg/L) with this organism. |
| Keyword | Syngas Fermentation Clostridium Autoethanogenum Response Surface Methodology Artificial Neural Network Genetic Algorithm |
| Subject Area | Agriculture ; Biotechnology & Applied Microbiology ; Energy & Fuels |
| WOS Headings | Science & Technology ; Life Sciences & Biomedicine ; Technology |
| DOI | 10.1016/j.biortech.2010.06.072 |
| WOS Subject Extended | Agriculture ; Biotechnology & Applied Microbiology ; Energy & Fuels |
| URL | 查看原文 |
| WOS Keyword | ARTIFICIAL NEURAL-NETWORKS ; GENETIC ALGORITHMS ; SYNTHESIS GAS ; SP-NOV ; BIOLOGICAL PRODUCTION ; FERMENTATION ; BIOMASS ; LJUNGDAHLII ; GROWTH ; CELLS |
| Indexed By | SCI |
| Language | 英语 |
| Funding Organization | National High Technology Research and Development Program of China [2007AA05Z406]; Chinese Academy of Sciences [KGCX2-YW-335, KSCX-YW-11-A3, KSCX2-YW-G-075-09] |
| WOS Subject | Agricultural Engineering ; Biotechnology & Applied Microbiology ; Energy & Fuels |
| WOS ID | WOS:000281262900044 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.giec.ac.cn/handle/344007/8472 |
| Collection | 中国科学院广州能源研究所 生物质能源生化转化实验室 |
| Affiliation | 1.Chinese Acad Sci, Guangzhou Inst Energy Convers, Key Lab Renewable Energy & Gas Hydrate, Guangzhou 510640, Peoples R China 2.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China |
| Recommended Citation GB/T 7714 | Guo, Ying,Xu, Jingliang,Zhang, Yu,et al. Medium optimization for ethanol production with Clostridium autoethanogenum with carbon monoxide as sole carbon source[J]. BIORESOURCE TECHNOLOGY,2010,101(22):8784-8789. |
| APA | Guo, Ying,Xu, Jingliang,Zhang, Yu,Xu, Huijuan,Yuan, Zhenhong,&Li, Dong.(2010).Medium optimization for ethanol production with Clostridium autoethanogenum with carbon monoxide as sole carbon source.BIORESOURCE TECHNOLOGY,101(22),8784-8789. |
| MLA | Guo, Ying,et al."Medium optimization for ethanol production with Clostridium autoethanogenum with carbon monoxide as sole carbon source".BIORESOURCE TECHNOLOGY 101.22(2010):8784-8789. |
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