| Literature DB >> 29666913 |
Paola Donato1, Giuseppe Micalizzi2, Marianna Oteri2, Francesca Rigano3, Danilo Sciarrone2, Paola Dugo2,3,4, Luigi Mondello5,6,7.
Abstract
The task of lipid analysis and profiling is taking centre stage in many research fields and as a consequence, there has been an intense effort to develop suitable methodologies to discover, identify, and quantify lipids in the systems investigated. Given the high complexity and diversity of the lipidome, researchers have been challenged to afford thorough knowledge of all the lipid species in a given sample, by gathering the data obtained by complementary analytical techniques. In this research, an "omic" approach was developed to quickly fingerprint lipids in the Mediterranean mussel (Mytilus galloprovincialis), by exploiting multidimensional and hyphenated techniques. In detail, two-dimensional comprehensive hydrophilic interaction liquid chromatography coupled to reversed-phase liquid chromatography afforded both class-type separation and lipid assignment within the total lipid species in the sample, by the coupling of a 2.1-mm I.D. partially porous stationary phase in the first dimension, to a short (50 mm) monodisperse octadecylsilica secondary column; individual molecular species were afterwards identified by means of their ion trap-time of flight mass spectra obtained by electrospray ionization. More than 200 neutral and polar lipids were identified, and among the latter, phosphatydylcholine and phosphatydylethanolamine were the most represented classes, together with their mono-acylated forms, plasmanyl and plasmenyl derivatives. Subsequently, separation of the saturated and unsaturated isomers of the fatty acids (including the saturated C16:0 and the polyunsaturated C22:6) in the offline collected phospholipid fractions was accomplished by gas chromatography analysis of the corresponding methyl esters, on a 200 m × 0.25 mm, 0.2 μm d f ionic liquid column.Entities:
Keywords: GC-MS; IT-ToF; Ionic liquid column; Lipids; Marine organisms; Two-dimensional comprehensive LC
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Year: 2018 PMID: 29666913 DOI: 10.1007/s00216-018-1045-3
Source DB: PubMed Journal: Anal Bioanal Chem ISSN: 1618-2642 Impact factor: 4.142