Publication detail

Study on retention behavior of lipids using RP-UHPLC/ESI-MS

Authors: Ovčačíková Magdaléna | Lísa Miroslav | Cífková Eva | Holčapek Michal

Year: 2016

Type of publication: ostatní - přednáška nebo poster

Page from-to: nestránkováno

Titles:

Language	Name	Abstract	Keywords
eng	Study on retention behavior of lipids using RP-UHPLC/ESI-MS	Living cells include thousands of different lipid molecules that fall into eight lipid categories on the basis of LIPID MAPS classification system (fatty acyls, glycerolipids, glycerophospholipid, sphingolipids, sterol lipids, prenol lipids, saccharolipids and polyketides) [1-2]. Each category contains a large number of classes and subclasses of lipid molecules. Abnormalities in the lipid metabolism contribute to numerous diseases, such as obesity, diabetes, cardiovascular diseases and cancer. Therefore, lipids can be investigated as possible biomarkers of these serious diseases [3-5]. The long reversed-phase ultrahigh-performance liquid chromatography (RP-UHPLC) method with two C18 columns coupled in series is optimized for the study of the retention behavior of individual lipids. For all lipid classes studied, dependences of retention times on the carbon number (CN) or the double bond (DB) number are fitted with the second degree polynomial regression y=ax2+bx+c. These curves are plotted as relative retention times vs. relative CN (or relative DB number). The use of relative units is more universal, because coefficients of polynomial regressionS do not depend on the column length or diameter.

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