Geographical identification of Chianti red wine based on ICP-MS element composition

Gian Maria Beone, Maria Chiara Fontanella, Benedetta Bronzi, Claudio Brilli, Davide Ballabio, Roberto Todeschini, Viviana Consonni, Francesca Grisoni, Francesco Parri, Massimo Buscema

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

Chianti is a precious red wine and enjoys a high reputation for its high quality in the world wine market. Despite this, the production region is small and product needs efficient tools to protect its brands and prevent adulterations. In this sense, ICP-MS combined with chemometrics has demonstrated its usefulness in food authentication. In this study, Chianti/Chianti Classico, authentic wines from vineyard of Toscana region (Italy), together samples from 18 different geographical regions, were analyzed with the objective of differentiate them from other Italian wines. Partial Least Squares-Discriminant Analysis (PLS-DA) identified variables to discriminate wine geographical origin. Rare Earth Elements (REE), major and trace elements all contributed to the discrimination of Chianti samples. General model was not suited to distinguish PDO red wines from samples, with similar chemical fingerprints, collected in some regions. Specific classification models enhanced the capability of discrimination, emphasizing the discriminant role of some elements.
Original languageEnglish
Pages (from-to)1-8
Number of pages8
JournalFood Chemistry
DOIs
Publication statusPublished - 2020

Keywords

  • Chianti wine
  • ICP-MS
  • Major and trace elements
  • Multivariate modelling
  • PLS-DA
  • REE

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