Metabolomic approaches for olive oil quality discrimination by altra-high performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry

Abstract

In this work, a metabolomics approach has been carried out in order to create a statistical model to perform a correct discrimination between different quality olive oils. Hybrid quadrupole time-of-flight mass spectrometer (QTOF MS) coupled to ultra high performance liquid chromatography (UHPLC) has been used for untargeted metabolite fingerprinting. Differentiation from Extra Virgin olive oil, Virgin olive oil and Lampante olive oil has been carried out using XCMS application and multivariate analysis to UHPLC-(Q)TOF MS data acquired in positive ionisation mode. Fourteen markers have been found to explain the totality of the model and correctly classify 95.6% of the samples.