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题名: Optimization of a GC-MS metabolic fingerprint method and its application in characterizing engineered bacterial metabolic shift
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;  Xu, Guowang1
通讯作者: 许国旺
关键词: GC-MS ;  Metabolic quenching ;  Metabolomics ;  Optimization ;  Sample Pretreatment
刊名: JOURNAL OF SEPARATION SCIENCE
发表日期: 2009-07-01
DOI: 10.1002/jssc.200800727
卷: 32, 期:13, 页:2281-2288
收录类别: SCI
文章类型: Article
部门归属: 18
项目归属: 1808
产权排名: 2;1
WOS标题词: Science & Technology ;  Physical Sciences
类目[WOS]: Chemistry, Analytical
研究领域[WOS]: Chemistry
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.
关键词[WOS]: TRICARBOXYLIC-ACID CYCLE ;  ESCHERICHIA-COLI ;  INTRACELLULAR METABOLITES ;  MICROBIAL METABOLOMICS ;  EXPERIMENTAL-DESIGN ;  FACTORIAL DESIGN ;  EXTRACTION ;  METHODOLOGIES ;  DISCRIMINATION ;  STRAINS
语种: 英语
原文出处: 查看原文
WOS记录号: WOS:000268198100011
Citation statistics: 
内容类型: 期刊论文
URI标识: http://cas-ir.dicp.ac.cn/handle/321008/102161
Appears in Collections:中国科学院大连化学物理研究所_期刊论文

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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

Recommended Citation:
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.
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