2016
DOI: 10.1016/j.foodcont.2016.06.008
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Metabolomic approach for Extra virgin olive oil origin discrimination making use of ultra-high performance liquid chromatography – Quadrupole time-of-flight mass spectrometry

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Cited by 54 publications
(41 citation statements)
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“…In recent years, several nontargeted MS applications have been developed for the analysis of metabolites, such as for the geographical origin of cocoa [133], almonds [134], olive oil [135], oranges [136], for the detection of fish [137,138] and meat [139,140] fraud, for the tracing of agricultural practices [141,142] or for the QC of milk [143,144].…”
Section: Metabolomics-based Methodsmentioning
confidence: 99%
“…In recent years, several nontargeted MS applications have been developed for the analysis of metabolites, such as for the geographical origin of cocoa [133], almonds [134], olive oil [135], oranges [136], for the detection of fish [137,138] and meat [139,140] fraud, for the tracing of agricultural practices [141,142] or for the QC of milk [143,144].…”
Section: Metabolomics-based Methodsmentioning
confidence: 99%
“…Furthermore, many studies have been carried out under metabolic profiling concept employing different analytical platforms, mainly LC-MS and NMR (29,30). Regardless of the analytical method, usually multivariate data analysis (MDA) is applied to cope with the generated data (19).…”
Section: Introductionmentioning
confidence: 99%
“…Using the most suitable sample preparation protocols according to the features of each food sample and the appropriate multivariate data analysis, these MS-based methodologies are able to point out different metabolites as potential markers of food origin. This kind of approaches has successfully been applied for the origin assessment of extra virgin olive oil (EVOO) [117] orange [118], hazelnuts [119] or cocoa beans [120].…”
Section: Ms-based Metabolomics For Food Traceabilitymentioning
confidence: 99%