Optimizing 2D gas chromatography mass spectrometry for robust tissue, serum and urine metabolite profiling

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• 作者：Zhanru Yu^a ; Honglei Huang^a ; Alexander Reim^a ; ¹ ; Philip D. Charles^a ; Alan Northage^b ; Dianne Jackson^b ; Ian Parry^b ; Benedikt M. Kessler^a ; ^{benedikt.kessler@ndm.ox.ac.uk}
• 关键词：Two dimensional gas chromatography ; Mass spectrometry ; Electron impact spectrum ; Metabolomics ; Bio fluid ; Tissue cell extract
• 刊名：Talanta
• 出版年：2017
• 出版时间：1 April 2017
• 年：2017
• 卷：165
• 期：Complete
• 页码：685-691
• 全文大小：1267 K
• 卷排序：165

文摘

GCxGC-MS detected ~600 features;165 represented metabolites of different classes. Optimizing gradient length and separation through modulation improved metabolite ID. improved separation of lactate/pyruvate, talopyranose/palmitate and inosine/docosahexaenoate.