Discrimination of Tunisian and Italian extra-virgin olive oils according to their phenolic and sterolic fingerprints

Luigi Lucini, Gabriele Rocchetti, Mbarka Ben Mohamed, Domenico Montesano, Sihem Ben Ali, Ferdaous Guasmi, Naziha Grati-Kamoun

Risultato della ricerca: Contributo in rivistaArticolo in rivistapeer review

36 Citazioni (Scopus)

Abstract

In the last years, olive oil authentication issues have become topics of prominent importance, not only for consumers, but also for suppliers, retailers, and administrative authorities, and particularly for assurance of public health. In this work, the sterolic and phenolic profile of Tunisian and Italian extra-virgin olive oil (EVOO) samples was depicted using an untargeted UHPLC-ESI/QTOF mass spectrometry approach. Polyphenols and sterols were quantified according to their chemical sub-classes, with high sterols (around 1000 up to 2000 mg/ kg) and tyrosols (on average 420.2 mg/kg) contents detected. The metabolomics data were elaborated by means of multivariate statistics, i.e. unsupervised hierarchical cluster analysis and orthogonal projections to latent structures discriminant analysis (OPLS-DA). This approach allowed identifying the best markers (i.e. hydroxybenzoic acids, cholesterol and stigmasterol derivatives) of the geographical origin able to discriminate Tunisian and Italian EVOO samples, showing the potential of sterolic and phenolic fingerprints for olive oil authenticity evaluations.
Lingua originaleEnglish
pagine (da-a)920-927
Numero di pagine8
RivistaFood Research International
Volume106
DOI
Stato di pubblicazionePubblicato - 2018

Keywords

  • Extra-virgin olive oil
  • Food authentication
  • Food metabolomics
  • Multivariate statistics
  • Polyphenols
  • Sterols

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