In this study, we investigated the relationship between (D/H)1, (D/H)2 and δ13C of ethanol and δ18O of water in wine, and variables describing the climate and the geography of the production area, using exploratory visualisation tools, regression analysis and linear modelling. For the first time, a large amount of data (around 4000 wine samples collected over 11 years in Italy) and all the official isotopic parameters, as well as a large number of significant climatic and geographical descriptors (date of harvest, latitude, longitude, elevation, distance from the sea, amount of precipitation, maximum daily temperature, minimum daily temperature, mean daily temperature, δ18O and δ2H of precipitation) were considered. δ18O, followed by (D/H)1, was shown to have the strongest relationship with climate and location. The dominant variables were latitude, with a negative relationship, δ18O and δ2H of precipitation and temperature, both with positive relationships. The identified correlations and models could be used to predict the isotopic composition of authentic wines, offering increased possibilities for detecting fraud and mislabelling.

Camin, F.; Djordjevic, N.; Wehrens, H.R.M.J.; Neteler, M.G.; Delucchi, L.; Postma, G.; Buydens, L. (2015). Climatic and geographical dependence of the H, C and O stable isotope ratios of Italian wine. ANALYTICA CHIMICA ACTA, 853 (1): 384-390. doi: 10.1016/j.aca.2014.09.049 handle: http://hdl.handle.net/10449/29037

Climatic and geographical dependence of the H, C and O stable isotope ratios of Italian wine

Camin, Federica;Djordjevic, Nikola;Wehrens, Herman Ronald Maria Johan;Neteler, Markus Georg;Delucchi, Luca;
2015-01-01

Abstract

In this study, we investigated the relationship between (D/H)1, (D/H)2 and δ13C of ethanol and δ18O of water in wine, and variables describing the climate and the geography of the production area, using exploratory visualisation tools, regression analysis and linear modelling. For the first time, a large amount of data (around 4000 wine samples collected over 11 years in Italy) and all the official isotopic parameters, as well as a large number of significant climatic and geographical descriptors (date of harvest, latitude, longitude, elevation, distance from the sea, amount of precipitation, maximum daily temperature, minimum daily temperature, mean daily temperature, δ18O and δ2H of precipitation) were considered. δ18O, followed by (D/H)1, was shown to have the strongest relationship with climate and location. The dominant variables were latitude, with a negative relationship, δ18O and δ2H of precipitation and temperature, both with positive relationships. The identified correlations and models could be used to predict the isotopic composition of authentic wines, offering increased possibilities for detecting fraud and mislabelling.
Wine
Isotope Ratio Mass Spectrometry
Climate
Geography
Prediction
Mislabelling
Settore CHIM/10 - CHIMICA DEGLI ALIMENTI
Camin, F.; Djordjevic, N.; Wehrens, H.R.M.J.; Neteler, M.G.; Delucchi, L.; Postma, G.; Buydens, L. (2015). Climatic and geographical dependence of the H, C and O stable isotope ratios of Italian wine. ANALYTICA CHIMICA ACTA, 853 (1): 384-390. doi: 10.1016/j.aca.2014.09.049 handle: http://hdl.handle.net/10449/29037
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