TY - JOUR
T1 - Fingerprints for main varieties of argentinean wines
T2 - Terroir differentiation by inorganic, organic, and stable isotopic analyses coupled to chemometrics
AU - Di Paola-Naranjo, Romina D.
AU - Baroni, María V.
AU - Podio, Natalia S.
AU - Rubinstein, Héctor R.
AU - Fabani, María P.
AU - Badini, Raúl G.
AU - Inga, Marcela
AU - Ostera, Héctor A.
AU - Cagnoni, Mariana
AU - Gallegos, Ernesto
AU - Gautier, Eduardo
AU - Peral-García, Pilar
AU - Hoogewerff, Jurian
AU - Wunderlin, Daniel A.
PY - 2011/7/27
Y1 - 2011/7/27
N2 - Our main goal was to investigate if robust chemical fingerprints could be developed for three Argentinean red wines based on organic, inorganic, and isotopic patterns, in relation to the regional soil composition. Soils and wines from three regions (Mendoza, San Juan, and Córdoba) and three varieties (Cabernet Sauvignon, Malbec, and Syrah) were collected. The phenolic profile was determined by HPLC-MS/MS and multielemental composition by ICP-MS; 87Sr/ 86Sr and δ 13C were determined by TIMS and IRMS, respectively. Chemometrics allowed robust differentiation between regions, wine varieties, and the same variety from different regions. Among phenolic compounds, resveratrol concentration was the most useful marker for wine differentiation, whereas Mg, K/Rb, Ca/Sr, and 87Sr/ 86Sr were the main inorganic and isotopic parameters selected. Generalized Procrustes analysis (GPA) using two studied matrices (wine and soil) shows consensus between them and clear differences between studied areas. Finally, we applied a canonical correlation analysis, demonstrating significant correlation (r = 0.99; p < 0.001) between soil and wine composition. To our knowledge this is the first report combining independent variables, constructing a fingerprint including elemental composition, isotopic, and polyphenol patterns to differentiate wines, matching part of this fingerprint with the soil provenance.
AB - Our main goal was to investigate if robust chemical fingerprints could be developed for three Argentinean red wines based on organic, inorganic, and isotopic patterns, in relation to the regional soil composition. Soils and wines from three regions (Mendoza, San Juan, and Córdoba) and three varieties (Cabernet Sauvignon, Malbec, and Syrah) were collected. The phenolic profile was determined by HPLC-MS/MS and multielemental composition by ICP-MS; 87Sr/ 86Sr and δ 13C were determined by TIMS and IRMS, respectively. Chemometrics allowed robust differentiation between regions, wine varieties, and the same variety from different regions. Among phenolic compounds, resveratrol concentration was the most useful marker for wine differentiation, whereas Mg, K/Rb, Ca/Sr, and 87Sr/ 86Sr were the main inorganic and isotopic parameters selected. Generalized Procrustes analysis (GPA) using two studied matrices (wine and soil) shows consensus between them and clear differences between studied areas. Finally, we applied a canonical correlation analysis, demonstrating significant correlation (r = 0.99; p < 0.001) between soil and wine composition. To our knowledge this is the first report combining independent variables, constructing a fingerprint including elemental composition, isotopic, and polyphenol patterns to differentiate wines, matching part of this fingerprint with the soil provenance.
KW - elements
KW - geographical origin
KW - isotopic ratio
KW - phenolics
KW - varietals
KW - Wine fingerprint
UR - http://www.scopus.com/inward/record.url?scp=79960578171&partnerID=8YFLogxK
U2 - 10.1021/jf2007419
DO - 10.1021/jf2007419
M3 - Article
C2 - 21671663
AN - SCOPUS:79960578171
VL - 59
SP - 7854
EP - 7865
JO - Journal of Agricultural and Food Chemistry
JF - Journal of Agricultural and Food Chemistry
SN - 0021-8561
IS - 14
ER -