Rational selection of reverse phase columns for high throughput LC-MS lipidomics.


Journal

Chemistry and physics of lipids
ISSN: 1873-2941
Titre abrégé: Chem Phys Lipids
Pays: Ireland
ID NLM: 0067206

Informations de publication

Date de publication:
07 2019
Historique:
received: 30 01 2019
revised: 07 03 2019
accepted: 14 03 2019
pubmed: 4 4 2019
medline: 14 4 2020
entrez: 4 4 2019
Statut: ppublish

Résumé

Natural lipidomes are characterized by extremely high complexity and dynamic range of lipid concentrations. Furthermore, high diversity of lipid physicochemical properties requires high resolving powers for both chromatographic and mass spectrometric analytical platforms. Reverse-phase chromatography coupled with data-dependent MS/MS acquisition is one of the most popular techniques in untargeted lipidomics. Optimal method should provide good chromatographic separation and resolution, reproducibility, selectivity and sensitivity. Here, we developed and set-up a RPLC-MS/MS workflow capable of resolving complex mixtures of lipids in 32 min of analysis. Human blood plasma was chosen as a representative complex natural lipidome with large variance of lipid classes, species and lipid concentrations. Lipids were separated by RPLC on five different reverse phase columns with different types of stationary phase particles, size and chemistry. High mass accuracy MS analysis and data-dependent MS/MS analysis were performed using a Q Exactive™ HF Hybrid Quadrupole-Orbitrap™ Mass Spectrometer to identify individual lipid molecular species. This workflow was applied to evaluate the separation capability of each column and to identify the lipidomics profile in highly complex biological samples. As a result, we report more than 600 lipid species covering 18 lipid classes in human blood plasma and provide suggestions to the selection of the appropriate reverse phase column for the analysis of specific lipidomes.

Identifiants

pubmed: 30940444
pii: S0009-3084(19)30029-5
doi: 10.1016/j.chemphyslip.2019.03.006
pii:
doi:

Substances chimiques

Lipids 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

120-127

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Angela Criscuolo (A)

Institute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy, University of Leipzig, Germany; Center for Biotechnology and Biomedicine, University of Leipzig, Germany; Thermo Fisher Scientific (Bremen) GmbH, Hanna-Kunath-Str. 11, 28199, Bremen, Germany.

Martin Zeller (M)

Thermo Fisher Scientific (Bremen) GmbH, Hanna-Kunath-Str. 11, 28199, Bremen, Germany.

Ken Cook (K)

Thermo Fisher Scientific, Stafford House 1 Boundary Park, HP2 7GE, Hemel Hempstead, United Kingdom.

Georgia Angelidou (G)

Institute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy, University of Leipzig, Germany; Center for Biotechnology and Biomedicine, University of Leipzig, Germany.

Maria Fedorova (M)

Institute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy, University of Leipzig, Germany; Center for Biotechnology and Biomedicine, University of Leipzig, Germany. Electronic address: maria.fedorova@bbz.uni-leipzig.de.

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Classifications MeSH