{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["6(11)"],"submitter":["Rongai D"],"pubmed_abstract":["¹H Nuclear Magnetic Resonance (NMR) spectroscopy coupled with multivariate analysis has been applied in order to investigate metabolomic profiles of more than 200 extravirgin olive oils (EVOOs) collected in a period of over four years (2009-2012) from different geographic areas. In particular, commercially blended EVOO samples originating from different Italian regions (Tuscany, Sicily and Apulia), as well as European (Spain and Portugal) and non-European (Tunisia, Turkey, Chile and Australia) countries. Multivariate statistical analysis (Principal Component Analisys (PCA) and Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA)) applied on the NMR data revealed the existence of marked differences between Italian (in particular from Tuscany, Sicily and Apulia regions) and forei"],"journal":["Foods (Basel, Switzerland)"],"pagination":["E96"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC5704140"],"repository":["biostudies-literature"],"pubmed_title":["¹H NMR and Multivariate Analysis for Geographic Characterization of Commercial Extra Virgin Olive Oil: A Possible Correlation with Climate Data."],"pmcid":["PMC5704140"],"pubmed_authors":["Rongai D","Sabatini N","Del Re P","Simone N","Del Coco L","Perri E","Fanizzi FP","Marchegiani D"],"additional_accession":[]},"is_claimable":false,"name":"¹H NMR and Multivariate Analysis for Geographic Characterization of Commercial Extra Virgin Olive Oil: A Possible Correlation with Climate Data.","description":"¹H Nuclear Magnetic Resonance (NMR) spectroscopy coupled with multivariate analysis has been applied in order to investigate metabolomic profiles of more than 200 extravirgin olive oils (EVOOs) collected in a period of over four years (2009-2012) from different geographic areas. In particular, commercially blended EVOO samples originating from different Italian regions (Tuscany, Sicily and Apulia), as well as European (Spain and Portugal) and non-European (Tunisia, Turkey, Chile and Australia) countries. Multivariate statistical analysis (Principal Component Analisys (PCA) and Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA)) applied on the NMR data revealed the existence of marked differences between Italian (in particular from Tuscany, Sicily and Apulia regions) and forei","dates":{"release":"2017-01-01T00:00:00Z","publication":"2017 Nov","modification":"2025-04-04T03:10:16.202Z","creation":"2019-03-27T03:03:06Z"},"accession":"S-EPMC5704140","cross_references":{"pubmed":["29112134"],"doi":["10.3390/foods6110096"]}}