2018
DOI: 10.1007/s11306-018-1449-2
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Review of recent developments in GC–MS approaches to metabolomics-based research

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Cited by 378 publications
(225 citation statements)
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References 244 publications
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“…Here, the authors achieved considerable improvements over traditional spectra and retention index matching approaches by integrating multiple cheminformatics procedures including the use of quality controls to reduce mass spectra background noise and remove artifact peaks, principal component analysis for the selection of biologically relevant variables, EI-MS spectral search in databases, and both retention index filtering and predictions [180]. A further peculiarity of GC-MS is the lack of linearity with respect to quantitation across peaks, requiring quantitative analysis to be made on an analyte by analyte basis [181,182].…”
Section: Metabolomic Data Processing and Interpretationmentioning
confidence: 99%
“…Here, the authors achieved considerable improvements over traditional spectra and retention index matching approaches by integrating multiple cheminformatics procedures including the use of quality controls to reduce mass spectra background noise and remove artifact peaks, principal component analysis for the selection of biologically relevant variables, EI-MS spectral search in databases, and both retention index filtering and predictions [180]. A further peculiarity of GC-MS is the lack of linearity with respect to quantitation across peaks, requiring quantitative analysis to be made on an analyte by analyte basis [181,182].…”
Section: Metabolomic Data Processing and Interpretationmentioning
confidence: 99%
“…In this global nontargeted profiling, the perturbed biological issues are typically profiled and studied in term of circulating biomarkers and specific pathways (Mones et al, 2011;Hyungwon & Norman, 2011). Additionally, metabolism plays a powerful role for a gaining holistic understanding of various biological matrices by globally measuring small-molecule metabolite levels (Beale et al, 2018;Zampieri & Sauer, 2017). Thus, metabolomics offers a potential strategy for the development and improvement of a method to decipher the biological processes of TBI as well as to elucidate its pathological mechanisms.…”
Section: Introductionmentioning
confidence: 99%
“…GC-MS is a reasonably common technique in the metabolomics fields and has been extensively described in previous reviews. [121][122][123] This technique is used to separate volatilized chemicals which are resistant to thermal degradation. These are separated using an inert carrier gas, typically helium, which flows through a GC column.…”
Section: Liquid Chromatography-mass Spectrometry (Lc-ms) Lc-ms Is Thmentioning
confidence: 99%