biostudies-literatureUnknown65(11)Li JNational Research CouncilThe recent advances in mass spectrometry (MS) technologies have enabled comprehensive lipid profiling in biological samples. However, the robustness and efficiency of MS-based lipidomics is compromised by the complexity of biological samples. High-field asymmetric waveform ion mobility spectrometry (FAIMS) is a technology that can continuously transmit one type of ion, independent of the mass-to-charge ratio. Here we present the development and application of LC-FAIMS-MS/MS-based platform for untargeted lipidomics. We used 3 optimally balanced compensation voltages, i.e., 29 V, 34 V and 39 V, to analyze all subclasses of glycerophospholipids. The reproducibility of the method was evaluated using reference standards. The reproducibility of retention times ranged from 0.9% to 1.5% RSD; whereJournal of lipid research100668https://www.ebi.ac.uk/biostudies/studies/S-EPMC11577210biostudies-literatureDevelopment of LC-FAIMS-MS and its application to lipidomics study of Acinetobacter baumannii infection.PMC11577210Haqqani ASLi JStupak JWilliamson SChen WHarris GZhou HChen RXu HHfalseDevelopment of LC-FAIMS-MS and its application to lipidomics study of Acinetobacter baumannii infection.The recent advances in mass spectrometry (MS) technologies have enabled comprehensive lipid profiling in biological samples. However, the robustness and efficiency of MS-based lipidomics is compromised by the complexity of biological samples. High-field asymmetric waveform ion mobility spectrometry (FAIMS) is a technology that can continuously transmit one type of ion, independent of the mass-to-charge ratio. Here we present the development and application of LC-FAIMS-MS/MS-based platform for untargeted lipidomics. We used 3 optimally balanced compensation voltages, i.e., 29 V, 34 V and 39 V, to analyze all subclasses of glycerophospholipids. The reproducibility of the method was evaluated using reference standards. The reproducibility of retention times ranged from 0.9% to 1.5% RSD; where2024-01-01T00:00:00Z2024 Nov2026-06-02T09:20:21.652Z2025-04-04T02:12:33.686ZS-EPMC115772103939578810.1016/j.jlr.2024.100668