Evidence map›Paper›PMID 41681609›Full record

ReviewPlants (Basel, Switzerland)2026

Analyzing Plant Low-Molecular-Weight Polar Metabolites: A GC-MS Approach.

Tatiana Bilova, Nadezhda Frolova, Anastasia Orlova, Svetlana Silinskaia, Akif Mailov, Veronika Popova, Andrej Frolov

Abstract readReview
In one paragraph

Review in Plants (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Tatiana BilovaDepartment of Plant Physiology and Biochemistry, Saint Petersburg State University, 199034 Saint Petersburg, Russia.ORCID 0000-0002-6024-3667
Nadezhda FrolovaLaboratory of Analytical Biochemistry and Biotechnology, K.A. Timiryazev Institute of Plant Physiology, Russian Academy of Sciences, 127276 Moscow, Russia.ORCID 0000-0002-1895-1133
Anastasia OrlovaLaboratory of Analytical Biochemistry and Biotechnology, K.A. Timiryazev Institute of Plant Physiology, Russian Academy of Sciences, 127276 Moscow, Russia.ORCID 0000-0002-7836-5785
Svetlana SilinskaiaLaboratory of Analytical Biochemistry and Biotechnology, K.A. Timiryazev Institute of Plant Physiology, Russian Academy of Sciences, 127276 Moscow, Russia.ORCID 0000-0002-9345-0240
Akif MailovLaboratory of Bioanalytical Chemistry, Higher School of Living Systems, Immanuel Kant Baltic Federal University, 236041 Kaliningrad, Russia.
Veronika PopovaDepartment of Plant Physiology and Biochemistry, Saint Petersburg State University, 199034 Saint Petersburg, Russia.ORCID 0000-0002-3486-4232
Andrej FrolovLaboratory of Analytical Biochemistry and Biotechnology, K.A. Timiryazev Institute of Plant Physiology, Russian Academy of Sciences, 127276 Moscow, Russia.ORCID 0000-0003-3250-5858

Funding

Russian Science Foundation # 23-14-00383Russian Science Foundation (RSF) # 23-44-00101
6 · The paper itself

Abstract

Decades ago, the introduction of GC-MS marked a significant advancement in primary plant metabolite studies. Here, in our review, we will delve into critical aspects of the workflow, spanning the selection of an analytical platform, sample preparation, analytical acquisition, and data processing and interpretation. The exceptional separation capabilities of GC, characterized by remarkable chromatographic resolution, render it ideal for analysis of the complex plant metabolome, including the separation of isomeric compounds. The diversity of analytical platforms allows the investigation of plant metabolomes using targeted and non-targeted approaches. GC-MS, equipped with efficient extraction methods and reliable derivatization protocols for semi- and non-volatile compounds, enables qualitative and quantitative analysis of these molecules. The stability of derivatives forms the foundation for the robustness and reproducibility of GC-MS methods, and their mass spectra provide characteristic fragments for confident identification and sensitive quantification of individual metabolites. There has been key progress in the advancement of GC-MS approaches to studying plant metabolism. However, the presence of artifacts during GC-MS analysis, particularly during derivatization, is a challenge that requires careful validations, which frequently necessitate additional investigations. The feasible solutions that were achieved to overcome the limitations in GC-MS-based studies are a particular focus of the present discussion.

Indexed as

GC-MS-based profilingplant metabolomicsprimary metabolites

Identifiers

PMID41681609
PMCPMC12900018

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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.