Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.
Morgridge Institute for Research, Madison, Wisconsin 53715, United States.
Anal Chem. 2022 Feb 22;94(7):3394-3399. doi: 10.1021/acs.analchem.1c05552. Epub 2022 Feb 9.
Liquid chromatography-mass spectrometry (LC-MS) is a typical strategy for lipidomics analysis. Although capillary LC-MS is a common analytical technique for proteomics analysis, its application to lipidomics has been limited. In this study, we aim at improving lipid identifications achieved in a single LC-MS analysis by a 3-fold approach: capillary LC and nanoelectrospray for enhanced ionization, ion trap for higher sensitivity tandem MS, and parallelization of mass analyzers for increased speed of acquisition on an Orbitrap hybrid system. By applying the methods to a complex lipid mixture of human plasma, we identified and performed relative quantification on over 1500 lipids within a 60 min capillary LC-MS analysis.
液相色谱-质谱联用(LC-MS)是脂质组学分析的典型策略。尽管毛细管 LC-MS 是蛋白质组学分析的常用分析技术,但将其应用于脂质组学受到限制。在这项研究中,我们旨在通过以下三种方法提高单个 LC-MS 分析中的脂质鉴定效果:毛细管 LC 和纳升电喷雾用于增强离子化,离子阱用于提高灵敏度串联 MS,以及在轨道阱混合系统上平行化质量分析仪以提高采集速度。通过将这些方法应用于人类血浆的复杂脂质混合物,我们在 60 分钟的毛细管 LC-MS 分析中鉴定和对超过 1500 种脂质进行相对定量。