Optimization of a GC-MS metabolic fingerprint method and its application in characterizing engineered bacterial metabolic shift
文献类型：期刊论文
| 作者 | Tian, Jing1,2; Sang, Ping1,2; Gao, Peng1; Fu, Ruiyan3; Yang, Dawei1,2; Zhang, Lei1; Zhou, Jing1; Wu, Si1,2; Lu, Xin1; Li, Yin |
| 刊名 | journal of separation science
 |
| 出版日期 | 2009-07-01 |
| 卷号 | 32期号:13页码:2281-2288 |
| 关键词 | GC-MS Metabolic quenching Metabolomics Optimization Sample Pretreatment |
| 产权排序 | 2;1 |
| 通讯作者 | 许国旺 |
| 英文摘要 | metabolomics influences many aspects of life sciences including microbiology. here, we describe the systematic optimization of metabolic quenching and a sample derivatization method for gc-ms metabolic fingerprint analysis. methanol, ethanol, acetone, and acetonitrile were selected to evaluate their metabolic quenching ability, and acetonitrile was regarded as the most efficient agent. the optimized derivatization conditions were determined by full factorial design considering temperature, solvent, and time as parameters. the best conditions were attained with n,o-bis(trimethylsiyl) trifluoroacetamide as derivatization agent and pyridine as solvent at 75 degrees c for 45 min. method validation ascertained the optimized method to be robust. the above method was applied to metabolomic analysis of six different strains and it is proved that the metabolic trait of an engineered strain can be easily deduced by clustering analysis of metabolic fingerprints. |
| WOS标题词 | science & technology ; physical sciences |
| 类目[WOS] | chemistry, analytical |
| 研究领域[WOS] | chemistry |
| 关键词[WOS] | tricarboxylic-acid cycle ; escherichia-coli ; intracellular metabolites ; microbial metabolomics ; experimental-design ; factorial design ; extraction ; methodologies ; discrimination ; strains |
| 收录类别 | SCI |
| 原文出处 | false |
| 语种 | 英语 |
| WOS记录号 | WOS:000268198100011 |
| 公开日期 | 2010-11-30 |
| 源URL | [http://159.226.238.44/handle/321008/102161]  |
| 专题 | 大连化学物理研究所_中国科学院大连化学物理研究所 |
| 作者单位 | 1.Chinese Acad Sci, CAS Key Lab Separat Sci Analyt Chem, Dalian Inst Chem Phys, Dalian 116023, Peoples R China 2.Dalian Polytech Univ, Dept Modern Technol, Dalian, Peoples R China 3.Anhui Agr Univ, Sch Tea & Food Sci, Hefei, Peoples R China |
| 推荐引用方式 GB/T 7714 | Tian, Jing,Sang, Ping,Gao, Peng,et al. Optimization of a GC-MS metabolic fingerprint method and its application in characterizing engineered bacterial metabolic shift[J]. journal of separation science,2009,32(13):2281-2288. |
| APA | Tian, Jing.,Sang, Ping.,Gao, Peng.,Fu, Ruiyan.,Yang, Dawei.,...&Xu, Guowang.(2009).Optimization of a GC-MS metabolic fingerprint method and its application in characterizing engineered bacterial metabolic shift.journal of separation science,32(13),2281-2288. |
| MLA | Tian, Jing,et al."Optimization of a GC-MS metabolic fingerprint method and its application in characterizing engineered bacterial metabolic shift".journal of separation science 32.13(2009):2281-2288. |
入库方式： OAI收割
来源：大连化学物理研究所
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