作者: Rubén Gil-Solsona , Montse Raro , Carlos Sales , Leticia Lacalle , Ramon Díaz
DOI: 10.1016/J.FOODCONT.2016.06.008
关键词: Chemistry 、 Normalization (statistics) 、 Chemical marker 、 Chromatography 、 Ultra high performance 、 Mass spectrometry 、 Metabolomics 、 Olive oil 、 Linear discriminant analysis 、 Quadrupole time of flight
摘要: Abstract The fraudulent miss-description on food product labels regarding origin or composition is a widespread problem. In this work, metabolomic approach based the use of ultra-high performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry (UHPLC-QTOF-MS) has been applied identify differentiating chemical markers that allow geographic discrimination between different Spanish Extra Virgin Olive Oils (EVOOs). For purpose, ninety EVOOs from 6 regions were analyzed. Data processing consisted peak picking, retention time alignment and response normalization. Partial Least Square Discriminant Analysis (PLS-DA) orthogonal PLS-DA (OPLS-DA) most significant groups separation. Twelve compounds found correctly separate their 7 them could be tentatively identified. results our work suggest UHPLC-QTOF MS-based analysis suitable for biomarker-detection in quality/safety field.