HPLC Retention Behavior of Triacylglycerols Extracted from Soybean Oil by Supercritical CO2

Abstract

Soybean oil fractions were obtained by collecting extract at different time intervals during supercritical CO2 extraction. Relationships between retention behavior of seventeen TAGs and their molecular characteristics were studied using chemometric approach. Quantitative structure-retention relationship (QSRR) analysis was carried out on retention time values (tr) obtained by high pressure liquid chromatography to identify structural requirements of different TAGs for their retention. Principal component analysis (PCA) was performed in order to select molecular descriptors that best describe retention behavior of the compounds investigated, and to determine the similarities among molecules. The accurate mathematical models were developed for predicting the retention behaviour of some TAGs. The validity of the models was evaluated by suitable statistical and cross-validation parameters.