Evidence map›Paper›PMID 34244835›Full record

ArticleAnalytical and bioanalytical chemistry2022

Retention dependences support highly confident identification of lipid species in human plasma by reversed-phase UHPLC/MS.

Zuzana Vaňková, Ondřej Peterka, Michaela Chocholoušková, Denise Wolrab, Robert Jirásko, Michal Holčapek

Abstract read
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In one paragraph

Article in Analytical and bioanalytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.5field-weighted citation impact, top 9% of its field
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

22 citing papers in PubMed, 49 citations in OpenAlex.

  1. Review
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  5. What's in a name? Metabolite identification: challenges and pitfalls in untargeted metabolomics.Metabolomics : Official journal of the Metabolomic Society · 2026
    Review
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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 at 1 institution in 1 country.

Zuzana VaňkováFaculty of Chemical Technology, Department of Analytical Chemistry, University of Pardubice, Studentská 573, 53210, Pardubice, Czech Republic.
Ondřej PeterkaFaculty of Chemical Technology, Department of Analytical Chemistry, University of Pardubice, Studentská 573, 53210, Pardubice, Czech Republic.
Michaela ChocholouškováFaculty of Chemical Technology, Department of Analytical Chemistry, University of Pardubice, Studentská 573, 53210, Pardubice, Czech Republic.
Denise WolrabFaculty of Chemical Technology, Department of Analytical Chemistry, University of Pardubice, Studentská 573, 53210, Pardubice, Czech Republic.
Robert JiráskoFaculty of Chemical Technology, Department of Analytical Chemistry, University of Pardubice, Studentská 573, 53210, Pardubice, Czech Republic.
Michal HolčapekFaculty of Chemical Technology, Department of Analytical Chemistry, University of Pardubice, Studentská 573, 53210, Pardubice, Czech Republic. Michal.Holcapek@upce.cz.ORCID http://orcid.org/0000-0003-3978-1249
University of Pardubice · CZ

Funding

Grantová Agentura České Republiky 21-20238S
6 · The paper itself

Abstract

Reversed-phase ultrahigh-performance liquid chromatography-mass spectrometry (RP-UHPLC/MS) method was developed with the aim to unambiguously identify a large number of lipid species from multiple lipid classes in human plasma. The optimized RP-UHPLC/MS method employed the C18 column with sub-2-μm particles with the total run time of 25 min. The chromatographic resolution was investigated with 42 standards from 18 lipid classes. The UHPLC system was coupled to high-resolution quadrupole-time-of-flight (QTOF) mass analyzer using electrospray ionization (ESI) measuring full-scan and tandem mass spectra (MS/MS) in positive- and negative-ion modes with high mass accuracy. Our identification approach was based on m/z values measured with mass accuracy within 5 ppm tolerance in the full-scan mode, characteristic fragment ions in MS/MS, and regularity in chromatographic retention dependences for individual lipid species, which provides the highest level of confidence for reported identifications of lipid species including regioisomeric and other isobaric forms. The graphs of dependences of retention times on the carbon number or on the number of double bond(s) in fatty acyl chains were constructed to support the identification of lipid species in homologous lipid series. Our list of identified lipid species is also compared with previous publications investigating human blood samples by various MS-based approaches. In total, we have reported more than 500 lipid species representing 26 polar and nonpolar lipid classes detected in NIST Standard reference material 1950 human plasma.

Indexed as

Chromatography, LiquidHumansLipidsMass SpectrometryLipidsHuman plasmaLipidomicsLipidsMass spectrometryRetention behaviorReversed-phaseUltrahigh-performance liquid chromatography

Identifiers

PMID34244835
OpenAlexW3179457602

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.