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(1)H NMR and Multivariate Analysis for Geographic Characterization of Commercial Extra Virgin Olive Oil: A Possible Correlation with Climate Data

(1)H 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, com...

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Autores principales: Rongai, Domenico, Sabatini, Nadia, Del Coco, Laura, Perri, Enzo, Del Re, Paolo, Simone, Nicola, Marchegiani, Donato, Fanizzi, Francesco Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5704140/
https://www.ncbi.nlm.nih.gov/pubmed/29112134
http://dx.doi.org/10.3390/foods6110096
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author Rongai, Domenico
Sabatini, Nadia
Del Coco, Laura
Perri, Enzo
Del Re, Paolo
Simone, Nicola
Marchegiani, Donato
Fanizzi, Francesco Paolo
author_facet Rongai, Domenico
Sabatini, Nadia
Del Coco, Laura
Perri, Enzo
Del Re, Paolo
Simone, Nicola
Marchegiani, Donato
Fanizzi, Francesco Paolo
author_sort Rongai, Domenico
collection PubMed
description (1)H 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 foreign (in particular Tunisian) EVOO samples. A possible correlation with available climate data has been also investigated. These results aim to develop a powerful NMR-based tool able to protect Italian olive oil productions.
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spelling pubmed-57041402017-11-30 (1)H NMR and Multivariate Analysis for Geographic Characterization of Commercial Extra Virgin Olive Oil: A Possible Correlation with Climate Data Rongai, Domenico Sabatini, Nadia Del Coco, Laura Perri, Enzo Del Re, Paolo Simone, Nicola Marchegiani, Donato Fanizzi, Francesco Paolo Foods Article (1)H 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 foreign (in particular Tunisian) EVOO samples. A possible correlation with available climate data has been also investigated. These results aim to develop a powerful NMR-based tool able to protect Italian olive oil productions. MDPI 2017-11-07 /pmc/articles/PMC5704140/ /pubmed/29112134 http://dx.doi.org/10.3390/foods6110096 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Rongai, Domenico
Sabatini, Nadia
Del Coco, Laura
Perri, Enzo
Del Re, Paolo
Simone, Nicola
Marchegiani, Donato
Fanizzi, Francesco Paolo
(1)H NMR and Multivariate Analysis for Geographic Characterization of Commercial Extra Virgin Olive Oil: A Possible Correlation with Climate Data
title (1)H NMR and Multivariate Analysis for Geographic Characterization of Commercial Extra Virgin Olive Oil: A Possible Correlation with Climate Data
title_full (1)H NMR and Multivariate Analysis for Geographic Characterization of Commercial Extra Virgin Olive Oil: A Possible Correlation with Climate Data
title_fullStr (1)H NMR and Multivariate Analysis for Geographic Characterization of Commercial Extra Virgin Olive Oil: A Possible Correlation with Climate Data
title_full_unstemmed (1)H NMR and Multivariate Analysis for Geographic Characterization of Commercial Extra Virgin Olive Oil: A Possible Correlation with Climate Data
title_short (1)H NMR and Multivariate Analysis for Geographic Characterization of Commercial Extra Virgin Olive Oil: A Possible Correlation with Climate Data
title_sort (1)h nmr and multivariate analysis for geographic characterization of commercial extra virgin olive oil: a possible correlation with climate data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5704140/
https://www.ncbi.nlm.nih.gov/pubmed/29112134
http://dx.doi.org/10.3390/foods6110096
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