Continuous comprehensive two-dimensional liquid chromatography-electrospray ionization mass spectrometry of complex lipidomic samples
Jazyk angličtina Země Německo Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem
- MeSH
- chromatografie s reverzní fází metody MeSH
- hmotnostní spektrometrie s elektrosprejovou ionizací metody MeSH
- hydrofobní a hydrofilní interakce MeSH
- lidé MeSH
- lipidy analýza krev izolace a purifikace MeSH
- mozek - chemie * MeSH
- prasata MeSH
- vysokoúčinná kapalinová chromatografie metody MeSH
- zvířata MeSH
- Check Tag
- lidé MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Názvy látek
- lipidy MeSH
A new continuous comprehensive two-dimensional liquid chromatography-electrospray ionization mass spectrometry method has been developed for the lipidomic characterization of complex biological samples. The reversed-phase ultra-high-performance liquid chromatography with a C18 column (150 mm × 1 mm, 1.7 μm) used in the first dimension makes the separation of numerous lipid species differing in their hydrophobic part of the molecule, mainly fatty acyl chain lengths and the number and positions of double bonds, possible. Coeluted lipid species in the first dimension are resolved by the fast hydrophilic interaction liquid chromatography separation (50 mm × 3 mm, 2.7 μm, core-shell particles) of lipid classes according to their different polarities in the second dimension. Retention times in both dimensions, accurate m/z values, and tandem mass spectra provide high confidence in the identification of lipid species. The retention behavior of individual lipids in reversed-phase mode follows the equivalent carbon number pattern, which provides an additional tool for unambiguous identification. This analytical method is applied for the lipidomic characterization of total lipid extracts of human plasma and porcine brain samples, which resulted in the identification of 143 lipid species from four lipid categories and ten lipid classes.
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