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Optimization of a GC-MS metabolic fingerprint method and its application in characterizing engineered bacterial metabolic shift
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; Xu GW(许国旺)
关键词Gc-ms Metabolic Quenching Metabolomics Optimization Sample Pretreatment
刊名JOURNAL OF SEPARATION SCIENCE
2009-07-01
DOI10.1002/jssc.200800727
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
关键词[WOS]TRICARBOXYLIC-ACID CYCLE ; ESCHERICHIA-COLI ; INTRACELLULAR METABOLITES ; MICROBIAL METABOLOMICS ; EXPERIMENTAL-DESIGN ; FACTORIAL DESIGN ; EXTRACTION ; METHODOLOGIES ; DISCRIMINATION ; STRAINS
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.
语种英语
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WOS记录号WOS:000268198100011
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被引频次:12[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://cas-ir.dicp.ac.cn/handle/321008/102161
专题中国科学院大连化学物理研究所
通讯作者Xu GW(许国旺)
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
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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.,...&许国旺.(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.
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