Evidence map›Paper›PMID 36768308›Full record

ArticleInternational journal of molecular sciences2023

Optimization of Mobile Phase Modifiers for Fast LC-MS-Based Untargeted Metabolomics and Lipidomics.

Tomas Cajka, Jiri Hricko, Lucie Rudl Kulhava, Michaela Paucova, Michaela Novakova, Ondrej Kuda

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

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  13. Extracellular Vesicles fromNanomaterials (Basel, Switzerland) · 2026
    Article
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  15. Metabolomic Insights Into the Impact of a Maternal Western-Style Diet and Leptin Supplementation During Suckling on Adult Rat Offspring.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
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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.

Tomas CajkaInstitute of Physiology of the Czech Academy of Sciences, Videnska 1083, 14200 Prague, Czech Republic.ORCID 0000-0002-9728-3355
Jiri HrickoInstitute of Physiology of the Czech Academy of Sciences, Videnska 1083, 14200 Prague, Czech Republic.
Lucie Rudl KulhavaInstitute of Physiology of the Czech Academy of Sciences, Videnska 1083, 14200 Prague, Czech Republic.
Michaela PaucovaInstitute of Physiology of the Czech Academy of Sciences, Videnska 1083, 14200 Prague, Czech Republic.
Michaela NovakovaInstitute of Physiology of the Czech Academy of Sciences, Videnska 1083, 14200 Prague, Czech Republic.
Ondrej KudaInstitute of Physiology of the Czech Academy of Sciences, Videnska 1083, 14200 Prague, Czech Republic.ORCID 0000-0001-7034-4536

Funding

Czech Science Foundation 20-21114SCzech Science Foundation 21-00477SMinistry of Education Youth and Sports LTAUSA19124Ministry of Education Youth and Sports LX22NPO5104Ministry of Health NU20-01-00186Ministry of Health NU22-02-00161
6 · The paper itself

Abstract

Liquid chromatography-mass spectrometry (LC-MS) is the method of choice for the untargeted profiling of biological samples. A multiplatform LC-MS-based approach is needed to screen polar metabolites and lipids comprehensively. Different mobile phase modifiers were tested to improve the electrospray ionization process during metabolomic and lipidomic profiling. For polar metabolites, hydrophilic interaction LC using a mobile phase with 10 mM ammonium formate/0.125% formic acid provided the best performance for amino acids, biogenic amines, sugars, nucleotides, acylcarnitines, and sugar phosphate, while reversed-phase LC (RPLC) with 0.1% formic acid outperformed for organic acids. For lipids, RPLC using a mobile phase with 10 mM ammonium formate or 10 mM ammonium formate with 0.1% formic acid permitted the high signal intensity of various lipid classes ionized in ESI(+) and robust retention times. For ESI(-), the mobile phase with 10 mM ammonium acetate with 0.1% acetic acid represented a reasonable compromise regarding the signal intensity of the detected lipids and the stability of retention times compared to 10 mM ammonium acetate alone or 0.02% acetic acid. Collectively, we show that untargeted methods should be evaluated not only on the total number of features but also based on common metabolites detected by a specific platform along with the long-term stability of retention times.

Indexed as

LipidomicsTandem Mass SpectrometryAcetatesAcetic AcidChromatography, LiquidFormatesMetabolomicsSpectrometry, Mass, Electrospray IonizationAcetatesAcetic Acidammonium acetateFormatesformic acidadditivesLC-MSlipidomicsliquid chromatographymass spectrometrymetabolomicsmobile phasemodifiersoptimization

Identifiers

PMID36768308
PMCPMC9916776

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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.