Classification of extra virgin olive oils according to their genetic variety using linear discriminant analysis of sterol profiles established by ultra-performance liquid chromatography with mass spectrometry detection |
| |
Authors: | MJ Lerma-GarcíaEF Simó-Alfonso A MéndezJL Lliberia JM Herrero-Martínez |
| |
Affiliation: | a Department of Analytical Chemistry, Faculty of Chemistry, University of Valencia, E-46100 Burjassot, Valencia, Spainb Waters Cromatografía S.A., Ronda de can Fatjó, 7-A, Parc Tecnològic del Vallès, E-08290, Cerdanyola del Vallés, Barcelona, Spain |
| |
Abstract: | A method to classify extra virgin olive oils (EVOOs) according to their genetic variety using sterol profiles obtained by ultra-performance liquid chromatography (UPLC) with atmospheric pressure chemical ionization mass spectrometry (APCI-MS) detection has been developed. The optimal separation conditions were obtained using a gradient acetonitrile/water (0.01% acetic acid) at a flow rate of 0.8 mL min− 1 and 10 °C. Linear discriminant analysis (LDA) models were constructed with the 11 UPLC-APCI-MS sterol peaks taken from the selective ion recording mode chromatograms. Ratios of the peak areas selected by pairs were used as predictors. With the sequential application of two LDA models and using a 95% probability, the EVOO samples belonging to seven genetic varieties mainly produced at La Comunitat Valenciana, Spain, were correctly classified with a prediction capability higher than 97%. |
| |
Keywords: | Extra virgin olive oil Genetic variety Linear discriminant analysis Mass spectrometry Sterols Ultra-performance liquid chromatography |
本文献已被 ScienceDirect 等数据库收录! |
|