Evidence map›Paper›PMID 39354315›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Ultrahigh-Performance Supercritical Fluid Chromatography-Mass Spectrometry in the Clinical Lipidomic Analysis.

Ondřej Peterka, Denise Wolrab, Robert Jirásko, Mária Kanásová, Zuzana Dolečková, Michal Holčapek

Abstract read
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Article in Methods in molecular biology (Clifton, N.J.), 2025. 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

6 authors.

Ondřej PeterkaDepartment of Analytical Chemistry, University of Pardubice, Faculty of Chemical Technology, Pardubice, Czech Republic.
Denise WolrabDepartment of Analytical Chemistry, University of Pardubice, Faculty of Chemical Technology, Pardubice, Czech Republic.
Robert JiráskoDepartment of Analytical Chemistry, University of Pardubice, Faculty of Chemical Technology, Pardubice, Czech Republic.
Mária KanásováLipidica, a.s, Pardubice, Czech Republic.
Zuzana DolečkováLipidica, a.s, Pardubice, Czech Republic.
Michal HolčapekDepartment of Analytical Chemistry, University of Pardubice, Faculty of Chemical Technology, Pardubice, Czech Republic. Michal.Holcapek@upce.cz.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultrahigh-performance supercritical fluid chromatography-mass spectrometry (UHPSFC/MS) method is optimized for the high-throughput quantitation of lipids in human serum and plasma with an emphasis on robustness and accurate quantitation. Bridged ethylene hybrid (BEH) silica column (100 × 3 mm; 1.7 μm) is used for the separation of 17 nonpolar and polar lipid classes in 4.4 min using the positive ion electrospray ionization mode. The lipid class separation approach in UHPSFC/MS results in the coelution of all lipid species within one lipid class in one chromatographic peak, including two exogenous internal standards (IS) per lipid class, which provides the optimal conditions for robust quantitation. The method was validated according to European Medicines Agency and Food and Drug Administration recommendations. UHPSFC/MS combined with LipidQuant software allows a semiautomated process to determine lipid concentrations with a total run time of only 8 min including column equilibration, which enables the analysis of 160 samples per day.

Indexed as

Chromatography, Supercritical FluidLipidomicsLipidsChromatography, High Pressure LiquidHumansMass SpectrometryLipidsHigh-throughput lipidomicsMass spectrometryPlasmaQuantitationSerumUltrahigh-performance supercritical fluid chromatographyValidation

Identifiers

What OpenQuestion holds

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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.