Literature DB >> 33479755

High Throughput Semiquantitative UHPSFC-MS/MS Lipid Profiling and Lipid Class Determination.

Zdenka Bartosova1, Susana Villa Gonzalez2, André Voigt1, Per Bruheim1.   

Abstract

High throughput and high-resolution pan class="Chemical">lipid analyses are important for many biological model systems and research questions. This comprises both monitoring at the individual lipid species level and broad lipid classes. Here, we present a nontarget semiquantitative lipidomics workflow based on ultrahigh performance supercritical fluid chromatography (UHPSFC)-mass spectrometry (MS). The optimized chromatographic conditions enable the base-line separation of both nonpolar and polar classes in a single 7-minute run. Ionization efficiencies of lipid classes vary 10folds in magnitude and great care must be taken in a direct interpretation of raw data. Therefore, the inclusion of internal standards or experimentally determined Response factors (RF) are highly recommended for the conversion of raw abundances into (semi) quantitative data. We have deliberately developed an algorithm for automatic semiquantification of lipid classes by RF. The workflow was tested and validated using a bovine liver extract with satisfactory results. The RF corrected data provide a more representative relative lipid class determination, but also the interpretation of individual lipid species should be performed on RF corrected data. In addition, semiquantification can be improved by using internal or also external standards when more accurate quantitative data are of interest but this requires validation for all new sample types. The workflow established greatly extends the potential of nontarget UHPSFC-MS/MS based analysis.
© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

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Year:  2021        PMID: 33479755      PMCID: PMC8217741          DOI: 10.1093/chromsci/bmaa121

Source DB:  PubMed          Journal:  J Chromatogr Sci        ISSN: 0021-9665            Impact factor:   1.618


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