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 | |
| 发表期刊 | BIORESOURCE TECHNOLOGY
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| ISSN | 0960-8524 |
| 卷号 | 101期号:22页码:8784-8789 |
| 产权排序 | [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 |
| 通讯作者 | xjl@ms.giec.ac.cn ; yuanzh@ms.giec.ac.cn |
| 摘要 | 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. |
| 文章类型 | Article |
| 其他摘要 | 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. |
| 关键词 | Syngas Fermentation Clostridium Autoethanogenum Response Surface Methodology Artificial Neural Network Genetic Algorithm |
| 学科领域 | Agriculture ; Biotechnology & Applied Microbiology ; Energy & Fuels |
| WOS标题词 | Science & Technology ; Life Sciences & Biomedicine ; Technology |
| DOI | 10.1016/j.biortech.2010.06.072 |
| 研究领域[WOS] | Agriculture ; Biotechnology & Applied Microbiology ; Energy & Fuels |
| URL | 查看原文 |
| 关键词[WOS] | ARTIFICIAL NEURAL-NETWORKS ; GENETIC ALGORITHMS ; SYNTHESIS GAS ; SP-NOV ; BIOLOGICAL PRODUCTION ; FERMENTATION ; BIOMASS ; LJUNGDAHLII ; GROWTH ; CELLS |
| 收录类别 | SCI |
| 语种 | 英语 |
| 项目资助者 | 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类目 | Agricultural Engineering ; Biotechnology & Applied Microbiology ; Energy & Fuels |
| WOS记录号 | WOS:000281262900044 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.giec.ac.cn/handle/344007/8472 |
| 专题 | 中国科学院广州能源研究所 生物质能源生化转化实验室 |
| 作者单位 | 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 |
| 推荐引用方式 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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