Evidence map›Paper›PMID 30830421›Full record

ReviewMetabolomics : Official journal of the Metabolomic Society2018

Review of recent developments in GC-MS approaches to metabolomics-based research.

David J Beale, Farhana R Pinu, Konstantinos A Kouremenos, Mahesha M Poojary, Vinod K Narayana, Berin A Boughton, Komal Kanojia, Saravanan Dayalan, Oliver A H Jones, Daniel A Dias

Abstract readReview
PubMed Publisher
In one paragraph

Review in Metabolomics : Official journal of the Metabolomic Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 201 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
201citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

201 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Recent Trends in Metabolomics by NMR Spectroscopy.Angewandte Chemie (International ed. in English) · 2026
    Review
  9. Review
  10. Review
  11. Review
  12. Green-synthesizedRSC advances · 2026
    Article
  13. Article
  14. Article
  15. A plasma metabolomic fingerprint of moderate or severe hearing loss.Metabolomics : Official journal of the Metabolomic Society · 2026
    Article
  16. Review
  17. Review
  18. Review
  19. 1H-NMR-based metabolomics reveals that prior exercise modulates metabolic changes in the cerebral cortex and hippocampus in sleep-deprived mice.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas · 2026
    Article
  20. Review

141 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

David J BealeLand and Water, Commonwealth Scientific & Industrial Research Organization (CSIRO), P.O. Box 2583, Brisbane, QLD, 4001, Australia. david.beale@csiro.au.ORCID 0000-0002-9948-9197
Farhana R PinuThe New Zealand Institute for Plant & Food Research Limited, Private Bag 92169, Auckland, 1142, New Zealand.
Konstantinos A KouremenosMetabolomics Australia, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, 3010, Australia.
Mahesha M PoojaryChemistry Section, School of Science and Technology, University of Camerino, via S. Agostino 1, 62032, Camerino, Italy.
Vinod K NarayanaMetabolomics Australia, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, 3010, Australia.
Berin A BoughtonMetabolomics Australia, School of BioSciences, The University of Melbourne, Parkville, 3010, Australia.ORCID 0000-0001-6342-9814
Komal KanojiaMetabolomics Australia, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, 3010, Australia.
Saravanan DayalanMetabolomics Australia, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, 3010, Australia.
Oliver A H JonesAustralian Centre for Research on Separation Science (ACROSS), School of Science, RMIT University, GPO Box 2476, Melbourne, 3001, Australia.ORCID 0000-0002-4541-662X
Daniel A DiasSchool of Health and Biomedical Sciences, Discipline of Laboratory Medicine, RMIT University, PO Box 71, Bundoora, 3083, Australia. daniel.dias@rmit.edu.au.ORCID 0000-0003-0129-3178

Funding

RMIT University 2018
6 · The paper itself

Abstract

backgroundMetabolomics aims to identify the changes in endogenous metabolites of biological systems in response to intrinsic and extrinsic factors. This is accomplished through untargeted, semi-targeted and targeted based approaches. Untargeted and semi-targeted methods are typically applied in hypothesis-generating investigations (aimed at measuring as many metabolites as possible), while targeted approaches analyze a relatively smaller subset of biochemically important and relevant metabolites. Regardless of approach, it is well recognized amongst the metabolomics community that gas chromatography-mass spectrometry (GC-MS) is one of the most efficient, reproducible and well used analytical platforms for metabolomics research. This is due to the robust, reproducible and selective nature of the technique, as well as the large number of well-established libraries of both commercial and 'in house' metabolite databases available. AIM OF REVIEW: This review provides an overview of developments in GC-MS based metabolomics applications, with a focus on sample preparation and preservation techniques. A number of chemical derivatization (in-time, in-liner, offline and microwave assisted) techniques are also discussed. Electron impact ionization and a summary of alternate mass analyzers are highlighted, along with a number of recently reported new GC columns suited for metabolomics. Lastly, multidimensional GC-MS and its application in environmental and biomedical research is presented, along with the importance of bioinformatics. KEY SCIENTIFIC CONCEPTS OF REVIEW: The purpose of this review is to both highlight and provide an update on GC-MS analytical techniques that are common in metabolomics studies. Specific emphasis is given to the key steps within the GC-MS workflow that those new to this field need to be aware of and the common pitfalls that should be looked out for when starting in this area.

Indexed as

AnimalsGas Chromatography-Mass SpectrometryHumansMetabolomicsBioinformaticsDerivatizationMass spectrometryMetabolic profilingMetabolomics

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.