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¹H NMR and Multivariate Analysis for Geographic Characterization of Commercial Extra Virgin Olive Oil: A Possible Correlation with Climate Data.
Foods. 2017 Nov 07; 6(11)F

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 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.

Authors+Show Affiliations

Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA), Research Centre for Plant Protection and Certification, via C.G. Bertero, 22, 00156 Roma, Italy. domenico.rongai@crea.gov.it.Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA), Research Centre for Engineering and Agro-Food Processing, via L. Petruzzi, 75, 65013 Città Sant'Angelo, Italy. nadia.sabatini@crea.gov.it.Dipartimento di Scienze e Tecnologie Biologiche ed Ambientali (Di.S.Te.B.A.), Università del Salento, Prov.Le Lecce-Monteroni, 73100 Lecce, Italy. laura.delcoco@unisalento.it.Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria-Centro di Ricerca per l'Olivicoltura e l'Industria Olearia, Contrada Li Rocchi, 87036 Rende, Italy. enzo.perri@entecra.it.Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA), Research Centre for Engineering and Agro-Food Processing, via L. Petruzzi, 75, 65013 Città Sant'Angelo, Italy. paolo.delre@crea.gov.it.Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA), Research Centre for Engineering and Agro-Food Processing, via L. Petruzzi, 75, 65013 Città Sant'Angelo, Italy. nicola.simone@crea.gov.it.Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA), Research Centre for Engineering and Agro-Food Processing, via L. Petruzzi, 75, 65013 Città Sant'Angelo, Italy. donato.marchegiani@gmail.com.Dipartimento di Scienze e Tecnologie Biologiche ed Ambientali (Di.S.Te.B.A.), Università del Salento, Prov.Le Lecce-Monteroni, 73100 Lecce, Italy. fp.fanizzi@unisalento.it.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

29112134

Citation

Rongai, Domenico, et al. "¹H NMR and Multivariate Analysis for Geographic Characterization of Commercial Extra Virgin Olive Oil: a Possible Correlation With Climate Data." Foods (Basel, Switzerland), vol. 6, no. 11, 2017.
Rongai D, Sabatini N, Del Coco L, et al. ¹H NMR and Multivariate Analysis for Geographic Characterization of Commercial Extra Virgin Olive Oil: A Possible Correlation with Climate Data. Foods. 2017;6(11).
Rongai, D., Sabatini, N., Del Coco, L., Perri, E., Del Re, P., Simone, N., Marchegiani, D., & Fanizzi, F. P. (2017). ¹H NMR and Multivariate Analysis for Geographic Characterization of Commercial Extra Virgin Olive Oil: A Possible Correlation with Climate Data. Foods (Basel, Switzerland), 6(11). https://doi.org/10.3390/foods6110096
Rongai D, et al. ¹H NMR and Multivariate Analysis for Geographic Characterization of Commercial Extra Virgin Olive Oil: a Possible Correlation With Climate Data. Foods. 2017 Nov 7;6(11) PubMed PMID: 29112134.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - ¹H NMR and Multivariate Analysis for Geographic Characterization of Commercial Extra Virgin Olive Oil: A Possible Correlation with Climate Data. AU - Rongai,Domenico, AU - Sabatini,Nadia, AU - Del Coco,Laura, AU - Perri,Enzo, AU - Del Re,Paolo, AU - Simone,Nicola, AU - Marchegiani,Donato, AU - Fanizzi,Francesco Paolo, Y1 - 2017/11/07/ PY - 2017/10/02/received PY - 2017/10/25/revised PY - 2017/11/02/accepted PY - 2017/11/8/entrez PY - 2017/11/8/pubmed PY - 2017/11/8/medline KW - 1H NMR spectroscopy KW - EVOOs geographical origin KW - extra virgin olive oil KW - historical climate data KW - multivariate statistical analysis JF - Foods (Basel, Switzerland) JO - Foods VL - 6 IS - 11 N2 - 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 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. SN - 2304-8158 UR - https://www.unboundmedicine.com/medline/citation/29112134/¹H_NMR_and_Multivariate_Analysis_for_Geographic_Characterization_of_Commercial_Extra_Virgin_Olive_Oil:_A_Possible_Correlation_with_Climate_Data_ DB - PRIME DP - Unbound Medicine ER -
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