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Discrimination of extra-virgin-olive oils from different cultivars and geographical origins by untargeted metabolomics.
Food Res Int. 2019 07; 121:746-753.FR

Abstract

In this preliminary study, ultra-high-pressure liquid chromatography (UHPLC) coupled to quadrupole-time-of-flight mass spectrometry (QTOF) metabolomics followed by multivariate statistics was applied to discriminate nine extra-virgin olive oil (EVOO) cultivars according to their phenolic and sterolic fingerprints. The same approach was then used to discriminate EVOO samples from different geographical origins, namely six blends representative of the main growing regions in Italy (i.e., Sicily, Puglia, Umbria, Liguria, Lombardy and Tuscany). This approach allowed to putatively identify >1000 compounds, considering both polyphenols and sterols. The unsupervised hierarchical cluster analysis (HCA) and the orthogonal projections to latent structures discriminant analysis (OPLS-DA) discriminated EVOO samples according to both cultivar and geographical origin. In particular, flavonoids (i.e., anthocyanins and flavonols), hydroxycinnamic acids and cholesterol derivatives were found to be the most representative classes of compounds discriminating EVOO samples according to the two parameters (cultivar or geographical origin) selected. However, the following Venn analysis allowed to point out the discriminant markers being exclusive for cultivar or origin discrimination. In this regard, only the 9.6% of phenolics and 13.6% of sterols were in common, thus indicating that several of these discriminant compounds were exclusive of a single condition. Indeed, considering that most of the commercial EVOOs are blended, the contribution of both the cultivars used and the geographical origin must be taken into account.

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Publisher Full Text (DOI)

Authors+Show Affiliations

Ghisoni S
Department for Sustainable Food Process, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122 Piacenza, Italy.
Lucini L
Department for Sustainable Food Process, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122 Piacenza, Italy. Electronic address: luigi.lucini@unicatt.it.
Angilletta F
Department for Sustainable Food Process, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122 Piacenza, Italy.
Rocchetti G
Department for Sustainable Food Process, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122 Piacenza, Italy; Department of Animal Science, Food and Nutrition, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122 Piacenza, Italy.
Farinelli D
Department of Agricultural, Food and Environmental Sciences, Università degli Studi di Perugia, Via Borgo 20 giugno 74, 06154 Perugia, Italy.
Tombesi S
Department for Sustainable Crop Production, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122 Piacenza, Italy.
Trevisan M
Department for Sustainable Food Process, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122 Piacenza, Italy.

MeSH

AnthocyaninsCholesterolChromatography, High Pressure LiquidCluster AnalysisCoumaric AcidsDiscriminant AnalysisFlavonoidsFlavonolsGeographyItalyMass SpectrometryMetabolomicsOlive OilPolyphenolsSterols

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

31108805

Citation

Ghisoni, Silvia, et al. "Discrimination of Extra-virgin-olive Oils From Different Cultivars and Geographical Origins By Untargeted Metabolomics." Food Research International (Ottawa, Ont.), vol. 121, 2019, pp. 746-753.
Ghisoni S, Lucini L, Angilletta F, et al. Discrimination of extra-virgin-olive oils from different cultivars and geographical origins by untargeted metabolomics. Food Res Int. 2019;121:746-753.
Ghisoni, S., Lucini, L., Angilletta, F., Rocchetti, G., Farinelli, D., Tombesi, S., & Trevisan, M. (2019). Discrimination of extra-virgin-olive oils from different cultivars and geographical origins by untargeted metabolomics. Food Research International (Ottawa, Ont.), 121, 746-753. https://doi.org/10.1016/j.foodres.2018.12.052
Ghisoni S, et al. Discrimination of Extra-virgin-olive Oils From Different Cultivars and Geographical Origins By Untargeted Metabolomics. Food Res Int. 2019;121:746-753. PubMed PMID: 31108805.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Discrimination of extra-virgin-olive oils from different cultivars and geographical origins by untargeted metabolomics. AU - Ghisoni,Silvia, AU - Lucini,Luigi, AU - Angilletta,Federica, AU - Rocchetti,Gabriele, AU - Farinelli,Daniela, AU - Tombesi,Sergio, AU - Trevisan,Marco, Y1 - 2018/12/24/ PY - 2018/09/17/received PY - 2018/12/04/revised PY - 2018/12/23/accepted PY - 2019/5/22/entrez PY - 2019/5/22/pubmed PY - 2020/9/22/medline KW - Extra-Virgin Olive Oil KW - Food metabolomics KW - Polyphenols KW - Sterols KW - Traceability SP - 746 EP - 753 JF - Food research international (Ottawa, Ont.) JO - Food Res Int VL - 121 N2 - In this preliminary study, ultra-high-pressure liquid chromatography (UHPLC) coupled to quadrupole-time-of-flight mass spectrometry (QTOF) metabolomics followed by multivariate statistics was applied to discriminate nine extra-virgin olive oil (EVOO) cultivars according to their phenolic and sterolic fingerprints. The same approach was then used to discriminate EVOO samples from different geographical origins, namely six blends representative of the main growing regions in Italy (i.e., Sicily, Puglia, Umbria, Liguria, Lombardy and Tuscany). This approach allowed to putatively identify >1000 compounds, considering both polyphenols and sterols. The unsupervised hierarchical cluster analysis (HCA) and the orthogonal projections to latent structures discriminant analysis (OPLS-DA) discriminated EVOO samples according to both cultivar and geographical origin. In particular, flavonoids (i.e., anthocyanins and flavonols), hydroxycinnamic acids and cholesterol derivatives were found to be the most representative classes of compounds discriminating EVOO samples according to the two parameters (cultivar or geographical origin) selected. However, the following Venn analysis allowed to point out the discriminant markers being exclusive for cultivar or origin discrimination. In this regard, only the 9.6% of phenolics and 13.6% of sterols were in common, thus indicating that several of these discriminant compounds were exclusive of a single condition. Indeed, considering that most of the commercial EVOOs are blended, the contribution of both the cultivars used and the geographical origin must be taken into account. SN - 1873-7145 UR - https://www.unboundmedicine.com/medline/citation/31108805/Discrimination_of_extra_virgin_olive_oils_from_different_cultivars_and_geographical_origins_by_untargeted_metabolomics_ DB - PRIME DP - Unbound Medicine ER -