Enhanced Phospholipid Isomer Analysis by Online Photochemical Derivatization and RPLC-MS
Mapping the complete molecular composition of a lipidome is considered an important goal of lipidomics for unraveling pathways and mechanisms behind lipid homeostasis. Conventional dissociation methods of mass spectrometry (MS) usually cannot give detailed structural information on lipids such as lo...
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Veröffentlicht in: | Analytical chemistry (Washington) 2020-05, Vol.92 (9), p.6719-6726 |
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Sprache: | eng |
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Zusammenfassung: | Mapping the complete molecular composition of a lipidome is considered an important goal of lipidomics for unraveling pathways and mechanisms behind lipid homeostasis. Conventional dissociation methods of mass spectrometry (MS) usually cannot give detailed structural information on lipids such as locations of carbon–carbon double bonds (CC) in acyl chains. Double-bond derivatization via the Paternò–Büchi (PB) reaction has been demonstrated as a simple and highly efficient method for identification of CC locations of different classes of lipids when paired with tandem mass spectrometry (MS/MS). In this work, reversed-phase lipid chromatography (RPLC)-MS was coupled with an online PB reaction to achieve enhanced analysis of isomers and isobars of phospholipids. A new acetone-containing mobile phase was developed that showed good elution performance for the separation of phospholipids by C18 columns. An improved flow microreactor was developed, enabling online derivatization of phospholipid CC in 20 s. The workflow of RPLC-PB-MS/MS was developed and optimized for identification of CC locations in isobaric ether-linked and diacyl phospholipids, 13C isobars, and acyl chain isomers in biological lipid extracts. Separation and identification of CC locations of cis/trans phospholipid isomers were achieved for lipid standards. The incorporation of the PB reaction into the RPLC-MS workflow enabled analysis of phospholipid isomers and isobars with high confidence, demonstrating its potential for high-throughput phospholipid identification from complex mixtures. |
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ISSN: | 0003-2700 1520-6882 |
DOI: | 10.1021/acs.analchem.0c00690 |