AUTHOR=Griboff Julieta , Horacek Micha , Wunderlin Daniel A. , Monferrán Magdalena V. 

TITLE=Differentiation Between Argentine and Austrian Red and White Wines Based on Isotopic and Multi-Elemental Composition

JOURNAL=Frontiers in Sustainable Food Systems

VOLUME=Volume 5 - 2021

YEAR=2021

URL=https://www.frontiersin.org/journals/sustainable-food-systems/articles/10.3389/fsufs.2021.657412

DOI=10.3389/fsufs.2021.657412

ISSN=2571-581X

ABSTRACT=In this work, the characterization of white and red wines from Austria and Argentina was carried out based on the isotopic and multi-elemental profile data. They were obtained by applying advanced techniques such as isotope ratio mass spectrometry and inductively coupled plasma mass spectrometry. In particular, Al, As, B, Ca, Co, Cu, Fe, K, Li, Mg, Mn, Na, Ni, Pb, Rb, Sr, V Zn, δ18O and δ13C were determined. The results show that the samples of wines from Argentina generally present higher concentrations of the elements analyzed compared to Austrian wines. δ18O values from wine water were characteristic of each country, while δ13C values from ethanol did not present any geographical distinction. Linear discriminant analysis using isotopes and elements allowed us to classify 100 % of the wines according to the origin and additionally, 98.4 % when separately investigating red and white wines. The elements Sr, Li, V, Pb, B, Mn, Co, Rb, As, Na, Mg, Zn, and δ18O were identified as sensitive indicators with the ability to discriminate wines according to their production origin. Furthermore, Sr, Li, Na, δ13C, δ18O, Ca, B, Fe, Mn, V, Mg, Co and Zn contributed to the differentiation of wines according to origin and color. To our knowledge, it is the first work that involves the measurement of a wide range of elements in white and red wines in Argentina, as well as in Austria. This research highlights the ability of multivariate statistical analysis, based on stable isotopes and multi-element data, to show a successful differentiation of wines origin.