Evidence map›Paper›PMID 39602178›Full record

ArticleAnalytical chemistry2024

Four-Dimensional Lipidomic Analysis Using Comprehensive Online UHPLC × UHPSFC/Tandem Mass Spectrometry.

Zuzana Lásko, Tomáš Hájek, Robert Jirásko, Ondřej Peterka, Petr Šimek, Peter J Schoenmakers, Michal Holčapek

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Article in Analytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Zuzana LáskoDepartment of Analytical Chemistry, University of Pardubice, Faculty of Chemical Technology, Studentská 573, Pardubice 53210, Czech Republic.
Tomáš HájekDepartment of Analytical Chemistry, University of Pardubice, Faculty of Chemical Technology, Studentská 573, Pardubice 53210, Czech Republic.
Robert JiráskoDepartment of Analytical Chemistry, University of Pardubice, Faculty of Chemical Technology, Studentská 573, Pardubice 53210, Czech Republic.
Ondřej PeterkaDepartment of Analytical Chemistry, University of Pardubice, Faculty of Chemical Technology, Studentská 573, Pardubice 53210, Czech Republic.
Petr ŠimekBiology Centre of the Czech Academy of Sciences, České Budějovice 370 05, Czech Republic.
Peter J Schoenmakersvan 't Hoff Institute for Molecular Sciences, Analytical Chemistry Group, University of Amsterdam, Science Park, 904, Amsterdam 1098 XH, The Netherlands.ORCID 0000-0002-9167-7716
Michal HolčapekDepartment of Analytical Chemistry, University of Pardubice, Faculty of Chemical Technology, Studentská 573, Pardubice 53210, Czech Republic.ORCID 0000-0003-3978-1249

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multidimensional chromatography offers enhanced chromatographic resolution and peak capacity, which are crucial for analyzing complex samples. This study presents a novel comprehensive online multidimensional chromatography method for the lipidomic analysis of biological samples, combining lipid class and lipid species separation approaches. The method combines optimized reversed-phase ultrahigh-performance liquid chromatography (RP-UHPLC) in the first dimension, utilizing a 150 mm long C18 column, with ultrahigh-performance supercritical fluid chromatography (UHPSFC) in the second dimension, using a 10 mm long silica column, both with sub-2 μm particles. A key advantage of employing UHPSFC in the second dimension is its ability to perform ultrafast analysis using gradient elution with a sampling time of 0.55 min. This approach offers a significant increase in the peak capacity. Compared to our routinely used 1D methods, the peak capacity of the 4D system is 10 times higher than RP-UHPLC and 18 times higher than UHPSFC. The entire chromatographic system is coupled with a high-resolution quadrupole-time-of-flight (QTOF) mass analyzer using electrospray ionization (ESI) in both full-scan and tandem mass spectrometry (MS/MS) and with positive- and negative-ion polarities, enabling the detailed characterization of the lipidome. The confident identification of lipid species is achieved through characteristic ions in both polarity modes, information from MS elevated energy (MS

Indexed as

LipidomicsLipidsTandem Mass SpectrometryChromatography, High Pressure LiquidChromatography, Supercritical FluidHumansLipids

Identifiers

PMID39602178
PMCPMC11635755

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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.