Evidence map›Paper›PMID 36985624›Full record

ArticleMolecules (Basel, Switzerland)2023

Matrix Effects in GC-MS Profiling of Common Metabolites after Trimethylsilyl Derivatization.

Elena Tarakhovskaya, Andrea Marcillo, Caroline Davis, Sanja Milkovska-Stamenova, Antje Hutschenreuther, Claudia Birkemeyer

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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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

6 authors.

Elena TarakhovskayaDepartment of Plant Physiology and Biochemistry, Faculty of Biology, St. Petersburg State University, 199034 St. Petersburg, Russia.ORCID 0000-0002-5341-2813
Andrea MarcilloMass Spectrometry Research Group, Faculty of Chemistry and Mineralogy, Leipzig University, 04103 Leipzig, Germany.
Caroline DavisMass Spectrometry Research Group, Faculty of Chemistry and Mineralogy, Leipzig University, 04103 Leipzig, Germany.
Sanja Milkovska-StamenovaBioanalytics Research Group, Faculty of Chemistry and Mineralogy, Leipzig University, 04103 Leipzig, Germany.
Antje HutschenreutherMass Spectrometry Research Group, Faculty of Chemistry and Mineralogy, Leipzig University, 04103 Leipzig, Germany.
Claudia BirkemeyerMass Spectrometry Research Group, Faculty of Chemistry and Mineralogy, Leipzig University, 04103 Leipzig, Germany.ORCID 0000-0002-8538-8838

Funding

European Union Erasmus Plus, ASC master degreeGerman Trade Union Confederation Hans-Böckler PhD grantRussian Foundation for Basic Research 20-04-00944Secretaría de Educación Superior, Ciencia, Tecnología e Innovación 861-2012
6 · The paper itself

Abstract

Metabolite profiling using gas chromatography coupled to mass spectrometry (GC-MS) is one of the most frequently applied and standardized methods in research projects using metabolomics to analyze complex samples. However, more than 20 years after the introduction of non-targeted approaches using GC-MS, there are still unsolved challenges to accurate quantification in such investigations. One particularly difficult aspect in this respect is the occurrence of sample-dependent matrix effects. In this project, we used model compound mixtures of different compositions to simplify the study of the complex interactions between common constituents of biological samples in more detail and subjected those to a frequently applied derivatization protocol for GC-MS analysis, namely trimethylsilylation. We found matrix effects as signal suppression and enhancement of carbohydrates and organic acids not to exceed a factor of ~2, while amino acids can be more affected. Our results suggest that the main reason for our observations may be an incomplete transfer of carbohydrate and organic acid derivatives during the injection process and compound interaction at the start of the separation process. The observed effects were reduced at higher target compound concentrations and by using a more suitable injection-liner geometry.

Indexed as

Amino AcidsMetabolomicsCarbohydratesGas Chromatography-Mass SpectrometryTrimethylsilyl CompoundsAmino AcidsCarbohydratesTrimethylsilyl Compoundscompound saturationgas chromatography–mass spectrometrymetabolomicsquantificationsignal enhancementsignal suppression

Identifiers

PMID36985624
PMCPMC10053008

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Registered trials

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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.