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1H NMR Spectroscopy to Characterize Italian Extra Virgin Olive Oil Blends, Using Statistical Models and Databases Based on Monocultivar Reference Oils.
Foods. 2020 Dec 03; 9(12)F

Abstract

During the last few years, the global demand for extra virgin olive oil (EVOO) is increased. Olive oil represents a significant percentage of world fat consumption determining an important development of its market. In this context, the problems related to counterfeiting and product fraud is becoming extremely relevant. Thus, the quality and authenticity control of EVOOs is nowadays mandatory. In this study we focused on the use of 1H NMR technique associated with multivariate statistical analysis to characterize Italian EVOOs commercial blends. In particular, a specific database including 126 monocultivar EVOOs reference samples, was used to characterize a total of 241 Italian EVOOs blends over four consecutive harvesting years. Moreover, the effect of the minor components (phenolic compounds) on the qualitative characterization of blended EVOOs was also evaluated. The correlation analysis of classification scores obtained using two pairwise orthogonal partial least square-discriminant analysis models (built with major and combined major-minor components NMR data) revealed that both could be profitably used to generally classify the studied Coratina containing blends.

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Authors+Show Affiliations

Girelli CR
Department of Biological and Environmental Sciences and Technologies, University of Salento, Prov.le Lecce-Monteroni, 73100 Lecce, Italy.
Calò F
Department of Biological and Environmental Sciences and Technologies, University of Salento, Prov.le Lecce-Monteroni, 73100 Lecce, Italy.
Angilè F
Department of Biological and Environmental Sciences and Technologies, University of Salento, Prov.le Lecce-Monteroni, 73100 Lecce, Italy.
Mazzi L
Certified Origins Italia Srl, Località il Madonnino, 58100 Grosseto, Italy.
Barbini D
Certified Origins Italia Srl, Località il Madonnino, 58100 Grosseto, Italy.
Fanizzi FP
Department of Biological and Environmental Sciences and Technologies, University of Salento, Prov.le Lecce-Monteroni, 73100 Lecce, Italy.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

33287272

Citation

Girelli, Chiara Roberta, et al. "1H NMR Spectroscopy to Characterize Italian Extra Virgin Olive Oil Blends, Using Statistical Models and Databases Based On Monocultivar Reference Oils." Foods (Basel, Switzerland), vol. 9, no. 12, 2020.
Girelli CR, Calò F, Angilè F, et al. 1H NMR Spectroscopy to Characterize Italian Extra Virgin Olive Oil Blends, Using Statistical Models and Databases Based on Monocultivar Reference Oils. Foods. 2020;9(12).
Girelli, C. R., Calò, F., Angilè, F., Mazzi, L., Barbini, D., & Fanizzi, F. P. (2020). 1H NMR Spectroscopy to Characterize Italian Extra Virgin Olive Oil Blends, Using Statistical Models and Databases Based on Monocultivar Reference Oils. Foods (Basel, Switzerland), 9(12). https://doi.org/10.3390/foods9121797
Girelli CR, et al. 1H NMR Spectroscopy to Characterize Italian Extra Virgin Olive Oil Blends, Using Statistical Models and Databases Based On Monocultivar Reference Oils. Foods. 2020 Dec 3;9(12) PubMed PMID: 33287272.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - 1H NMR Spectroscopy to Characterize Italian Extra Virgin Olive Oil Blends, Using Statistical Models and Databases Based on Monocultivar Reference Oils. AU - Girelli,Chiara Roberta, AU - Calò,Francesca, AU - Angilè,Federica, AU - Mazzi,Lucia, AU - Barbini,Daniele, AU - Fanizzi,Francesco Paolo, Y1 - 2020/12/03/ PY - 2020/10/15/received PY - 2020/11/20/revised PY - 2020/11/30/accepted PY - 2020/12/8/entrez PY - 2020/12/9/pubmed PY - 2020/12/9/medline KW - 1H-NMR spectroscopy KW - chemometrics KW - extra virgin olive oil KW - quality KW - traceability JF - Foods (Basel, Switzerland) JO - Foods VL - 9 IS - 12 N2 - During the last few years, the global demand for extra virgin olive oil (EVOO) is increased. Olive oil represents a significant percentage of world fat consumption determining an important development of its market. In this context, the problems related to counterfeiting and product fraud is becoming extremely relevant. Thus, the quality and authenticity control of EVOOs is nowadays mandatory. In this study we focused on the use of 1H NMR technique associated with multivariate statistical analysis to characterize Italian EVOOs commercial blends. In particular, a specific database including 126 monocultivar EVOOs reference samples, was used to characterize a total of 241 Italian EVOOs blends over four consecutive harvesting years. Moreover, the effect of the minor components (phenolic compounds) on the qualitative characterization of blended EVOOs was also evaluated. The correlation analysis of classification scores obtained using two pairwise orthogonal partial least square-discriminant analysis models (built with major and combined major-minor components NMR data) revealed that both could be profitably used to generally classify the studied Coratina containing blends. SN - 2304-8158 UR - https://www.unboundmedicine.com/medline/citation/33287272/1H_NMR_Spectroscopy_to_Characterize_Italian_Extra_Virgin_Olive_Oil_Blends_Using_Statistical_Models_and_Databases_Based_on_Monocultivar_Reference_Oils_ DB - PRIME DP - Unbound Medicine ER -