TY - JOUR
T1 - Geographical identification of Chianti red wine based on ICP-MS element composition
AU - Bronzi, B.
AU - Brilli, C.
AU - Beone, Gian Maria
AU - Fontanella, Maria Chiara
AU - Ballabio, D.
AU - Todeschini, R.
AU - Consonni, V.
AU - Grisoni, F.
AU - Parri, F.
AU - Buscema, M.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Chianti wine
KW - ICP-MS
KW - Major and trace elements
KW - Multivariate modelling
KW - PLS-DA
KW - REE
KW - Chianti wine
KW - ICP-MS
KW - Major and trace elements
KW - Multivariate modelling
KW - PLS-DA
KW - REE
UR - https://publicatt.unicatt.it/handle/10807/149257
UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85078705167&origin=inward
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85078705167&origin=inward
U2 - 10.1016/j.foodchem.2020.126248
DO - 10.1016/j.foodchem.2020.126248
M3 - Article
SN - 0308-8146
SP - 1
EP - 8
JO - Food Chemistry
JF - Food Chemistry
IS - 315
ER -