Terroir diferentiation of Argentinean red wines by inorganic, organic and stable isotopes analyses coupled to chemometrics.

DI PAOLA NARANJO, R.; BARONI M.V.; NATALIA PODIO; RUBISTEIN, H; FABANI MP; BADINI R,; INGA, M; OSTERA HA; CAGNONI M; GALLEGO, H; PERAL-GARC¨ªA P; HOOGEWERFF J; DANIEL A. WUNDERLIN

Belfast

Congreso; ASSET 2011, Food Integrity and Traceability Conference; 2011

Queens University

Our main goal was to obtain a reliable fingerprint of typical Argentinean red wines on the basis of organic, inorganic and isotopic patterns, considering the influence of provenance soil. Soil and wine samples were collected from three major producing regions: Mendoza, San Juan and C¨®rdoba within the frame of FP6-TRACE project. Wine varieties selected were: Cabernet Sauvignon, Malbec and Syrah. Phenolic components were determined by HPLC-MS/MS. Multielement composition was analyzed by ICP-MS, while 87Sr/86Sr and ¦Ä13C were measured by TIMS and IRMS, respectively. Discriminant analysis allowed 100% differentiation between three regions, three wines varieties and the same wine variety from different regions. Among phenolic compounds, resveratrol and kaempferol were the most significant parameters for the wine differentiation, while Li, Mg and 87Sr/86Sr were the most important inorganic and isotopic parameters selected. Finally, we applied a Canonical Correlation Analysis to assess the correspondence between soil and wine composition, showing a highly significant correlation (r=0.99; p<0.001) among soils and wine dataset. We conclude that both elemental and isotopic composition allows a good differentiation among wine-producing regions. Furthermore, the inclusion of phenolic composition allows a better differentiation between wine varieties from the same region, presenting a powerful strategy to assess wine provenance.