NDLI: A combination of GC-MS and chemometrics reveals metabolic differences between serum and plasma

Content Provider	Royal Society of Chemistry (RSC)
Author	Yun, Yonghuan Zhang, Xiaojuan Liang, Yizeng Shi, Shuting Yi, Lunzhao
Copyright Year	2015
Abstract	Blood serum and plasma are the most frequently used biofluids in metabolomics. The primary aim of this study was to ascertain the feasibility of the commonly used gas chromatography-mass spectrometry (GC-MS)-based methoximation followed by silylation with the BSTFA + 1% TMCS (MeOx-TMS) derivatization method, and to reveal the metabolic differences between serum and plasma. Individual variations were evaluated by different groups of serum and plasma samples collected from healthy volunteers in 2011 and 2013. The experimental results indicated that differences of metabolic levels among individuals were much higher than the variations of the experimental repeatability and precision. In addition, a discriminant model between serum and plasma was established using partial least squares-discriminant analysis (PLS-DA). Six characteristic metabolites, phosphate, serine, 2,3,4-trihydroxybutyrate, citric acid, glucose and arachidonic acid, were screened out and considered to have the most important contribution to the discrimination. Results of this work will provide some valuable suggestions to researchers on the selection of suitable biofluids in metabolomic research.
Starting Page	1751
Ending Page	1757
Page Count	7
File Format	HTM / HTML PDF
ISSN	17599660
Volume Number	7
Issue Number	5
Journal	Analytical Methods
DOI	10.1039/c4ay02477j
Language	English
Publisher	Royal Society of Chemistry
Access Restriction	Open
Subject Keyword	Discriminant Metabolomics Gas chromatography\u2013mass spectrometry Serum (blood) Phosphate Serine BSTFA Silyl ether Glucose Blood plasma
Content Type	Text
Resource Type	Article
Subject	Analytical Chemistry Engineering Chemical Engineering

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