Evidence map›Paper›PMID 41258449›Full record

ArticleAnalytical and bioanalytical chemistry2026

Enhancing metabolite coverage using dedicated mobile phases for individual polarity modes in HILIC-MS.

Alena Langová, Malena Manzi, Jana Brejchová, Ondřej Kuda, Michal Holčapek, Robert Jirásko

Abstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 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.

Alena LangováDepartment of Analytical Chemistry, Faculty of Chemical Technology, University of Pardubice, Studentská 573, 53210, Pardubice, Czech Republic.ORCID http://orcid.org/0009-0004-5946-8166
Malena ManziDepartment of Analytical Chemistry, Faculty of Chemical Technology, University of Pardubice, Studentská 573, 53210, Pardubice, Czech Republic.ORCID http://orcid.org/0000-0002-1709-0685
Jana BrejchováInstitute of Physiology of the Czech Academy of Sciences, Videnska 1083, 14200, Prague, Czech Republic.ORCID http://orcid.org/0000-0002-2126-6671
Ondřej KudaInstitute of Physiology of the Czech Academy of Sciences, Videnska 1083, 14200, Prague, Czech Republic.ORCID http://orcid.org/0000-0001-7034-4536
Michal HolčapekDepartment of Analytical Chemistry, Faculty of Chemical Technology, University of Pardubice, Studentská 573, 53210, Pardubice, Czech Republic.ORCID http://orcid.org/0000-0003-3978-1249
Robert JiráskoDepartment of Analytical Chemistry, Faculty of Chemical Technology, University of Pardubice, Studentská 573, 53210, Pardubice, Czech Republic. robert.jirasko@upce.cz.ORCID http://orcid.org/0000-0001-5795-5017

Funding

European Research Council ERC Advanced Grant No. 101095860Ministerstvo Školství, Mládeže a Tělovýchovy project No. CZ.02.01.01/00/22_008/0004644 Saving l
6 · The paper itself

Abstract

We have developed a new hydrophilic interaction liquid chromatography-mass spectrometry (HILIC-MS) method with mobile phases optimized for high metabolite coverage in individual polarity modes. This dual mobile phase strategy expands the range of annotated metabolites and improves identification confidence, providing broader and more accurate metabolic profiles. The incorporation of a bioinert chromatographic system further enhances sensitivity. The bridged ethyl hybrid (BEH) amide column yields the best results for metabolomic analysis among the three chromatographic columns in this comparison. The method development involves investigating the effects of mobile phase composition, pH, and a medronic acid additive on the MS response under bioinert chromatographic conditions. The results highlight the important role of alkaline pH for the sensitive detection of polyphosphorylated metabolites, while demonstrating the redundancy of chelating additives in a fully bioinert system. Finally, the optimized method is applied to mouse plasma, pancreas, and liver samples to demonstrate its versatility and reliable performance in complex biological matrices, establishing it as a powerful tool for confident and reproducible metabolomics studies.

Indexed as

Mass SpectrometryMetabolomicsAnimalsChromatography, LiquidHydrogen-Ion ConcentrationHydrophobic and Hydrophilic InteractionsLiverMicePancreasBioinert chromatographyHILICMass spectrometryMetabolite annotationMetabolomics

Identifiers

PMID41258449
PMCPMC12783170

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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.