Article ; Online: Chemical derivatization strategy for mass spectrometry-based lipidomics.
2021 Volume 42, Issue 1, Page(s) 432–452
Abstract: Lipids, serving as the structural components of cellular membranes, energy storage, and signaling molecules, play the essential and multiple roles in biological functions of mammals. Mass spectrometry (MS) is widely accepted as the first choice for lipid ...
Abstract | Lipids, serving as the structural components of cellular membranes, energy storage, and signaling molecules, play the essential and multiple roles in biological functions of mammals. Mass spectrometry (MS) is widely accepted as the first choice for lipid analysis, offering good performance in sensitivity, accuracy, and structural characterization. However, the untargeted qualitative profiling and absolute quantitation of lipids are still challenged by great structural diversity and high structural similarity. In recent decade, chemical derivatization mainly targeting carboxyl group and carbon-carbon double bond of lipids have been developed for lipidomic analysis with diverse advantages: (i) offering more characteristic structural information; (ii) improving the analytical performance, including chromatographic separation and MS sensitivity; (iii) providing one-to-one chemical isotope labeling internal standards based on the isotope derivatization regent in quantitative analysis. Moreover, the chemical derivatization strategy has shown great potential in combination with ion mobility mass spectrometry and ambient mass spectrometry. Herein, we summarized the current states and advances in chemical derivatization-assisted MS techniques for lipidomic analysis, and their strengths and challenges are also given. In summary, the chemical derivatization-based lipidomic approach has become a promising and reliable technique for the analysis of lipidome in complex biological samples. |
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MeSH term(s) | Animals ; Lipidomics ; Mass Spectrometry/methods ; Ion Mobility Spectrometry ; Lipids/analysis ; Carbon ; Mammals |
Chemical Substances | Lipids ; Carbon (7440-44-0) |
Language | English |
Publishing date | 2021-09-05 |
Publishing country | United States |
Document type | Journal Article ; Review ; Research Support, Non-U.S. Gov't |
ZDB-ID | 1491946-1 |
ISSN | 1098-2787 ; 0277-7037 |
ISSN (online) | 1098-2787 |
ISSN | 0277-7037 |
DOI | 10.1002/mas.21729 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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