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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
2010-11-01
Source PublicationBIORESOURCE TECHNOLOGY
ISSN0960-8524
Volume101Issue: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 Authorxjl@ms.giec.ac.cn ; yuanzh@ms.giec.ac.cn
AbstractPlackett-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.
SubtypeArticle
Other AbstractPlackett-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.
KeywordSyngas Fermentation Clostridium Autoethanogenum Response Surface Methodology Artificial Neural Network Genetic Algorithm
Subject AreaAgriculture ; Biotechnology & Applied Microbiology ; Energy & Fuels
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine ; Technology
DOI10.1016/j.biortech.2010.06.072
WOS Subject ExtendedAgriculture ; Biotechnology & Applied Microbiology ; Energy & Fuels
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WOS KeywordARTIFICIAL NEURAL-NETWORKS ; GENETIC ALGORITHMS ; SYNTHESIS GAS ; SP-NOV ; BIOLOGICAL PRODUCTION ; FERMENTATION ; BIOMASS ; LJUNGDAHLII ; GROWTH ; CELLS
Indexed BySCI
Language英语
Funding OrganizationNational 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 SubjectAgricultural Engineering ; Biotechnology & Applied Microbiology ; Energy & Fuels
WOS IDWOS:000281262900044
Citation statistics
Document Type期刊论文
Identifierhttp://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
Affiliation1.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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