Scientific article
English

Hybrid SWATH/MS and HR-SRM/MS acquisition for phospholipidomics using QUAL/QUANT data processing

Published inAnalytical and Bioanalytical Chemistry, vol. 411, no. 22, p. 5681-5690
Publication date2019
Abstract

A hybrid SWATH/MS and HR-SRM/MS acquisition approach using multiple unit mass windows and 100 u precursor selection windows has been developed to interface with a chromatographic lipid class separation. The method allows for the simultaneous monitoring of sum compositions in MS1 and up to 48 lipids in MS2 per lipid class. A total of 240 lipid sum compositions from five phospholipid classes could be monitored in MS2 (HR-SRM/MS) while there was no limitation in the number of analytes in MS1 (HR-SIM/MS). On average, 92 lipid sum compositions and 75 lipid species could be quantified in human plasma samples. The robustness and precision of the workflow has been assessed using technical triplicates of the subject samples. Lipid identification was improved using a combined qualitative and quantitative data processing based on prediction instead of library search. Lipid class specific extracted ion currents of precursors and the corresponding molecular species fragments were extracted based on the information obtained from lipid building blocks and a combinatorial strategy. The SWATH/MS approach with the post-acquisition processing is not limited to the analyzed phospholipid classes and can be applied to other analytes and samples of interest.

Keywords
  • Glycerophospholipids
  • Plasma
  • HILIC
  • SWATH
  • QUAL/QUANT
  • Data processing
Citation (ISO format)
RAETZ, Michel et al. Hybrid SWATH/MS and HR-SRM/MS acquisition for phospholipidomics using QUAL/QUANT data processing. In: Analytical and Bioanalytical Chemistry, 2019, vol. 411, n° 22, p. 5681–5690. doi: 10.1007/s00216-019-01946-4
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Article (Published version)
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Identifiers
Additional URL for this publicationhttp://link.springer.com/10.1007/s00216-019-01946-4
Journal ISSN1618-2642
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Technical informations

Creation17/09/2020 10:15:00
First validation17/09/2020 10:15:00
Update time15/03/2023 22:38:05
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