Expanding lipidome coverage using MS/MS-aided untargeted data-independent RP–UPLC–TOF–MSE acquisition
Author(s) -
Panagiotis A. Vorkas
Publication year - 2018
Publication title -
bioanalysis
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.566
H-Index - 58
eISSN - 1757-6199
pISSN - 1757-6180
DOI - 10.4155/bio-2017-0249
Subject(s) - lipidome , lipidomics , degree of unsaturation , chemistry , computational biology , chromatography , mass spectrometry , biology , biochemistry
Lipid function and importance in disease are being rediscovered due to modern advancements in chemical analysis. RP-UPLC-TOF-MS E is now the lipidomics tool of choice and can provide the demanded specificity for detecting the great diversity of the lipidome. It can offer simplicity, rapidity, robustness and high throughputness, without the need for further optimization in current sample preparation protocols. This method can cover the major lipid categories with the ability to detect several corresponding subclasses. It can deliver adequate information for deciphering fatty chain length, unsaturation and regioisomerism. It has enabled the detection of a vast number of lipids, of which more than 250 are reported here. These lipids were detected from applications in a variety of biological matrices and species.
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