Fingerprints for Main Varieties of Argentinean Wines: Terroir Differentiation by Inorganic, Organic, and Stable Isotopic Analyses Coupled to Chemometrics
| Autor: | Héctor A. Ostera, Jurian Hoogewerff, Marcela Inga, María Verónica Baroni, Natalia S. Podio, Maria Paula Fabani, Ernesto Gallegos, Daniel Alberto Wunderlin, Pilar Peral-García, Héctor R. Rubinstein, Raúl G. Badini, Eduardo A. Gautier, Romina D. Di Paola-Naranjo, Mariana Celina Cagnoni |
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| Rok vydání: | 2011 |
| Předmět: |
Quality Control
Wine δ13C Chemistry Argentina Generalized Procrustes analysis General Chemistry Chemometrics Soil Isotopes Inorganic Chemicals Environmental chemistry Soil water Botany Vitis Composition (visual arts) Inorganic organic Organic Chemicals General Agricultural and Biological Sciences Terroir |
| Zdroj: | Journal of Agricultural and Food Chemistry. 59:7854-7865 |
| ISSN: | 1520-5118 0021-8561 |
| DOI: | 10.1021/jf2007419 |
| Popis: | 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; (87)Sr/(86)Sr and δ(13)C 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 (87)Sr/(86)Sr 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; p0.001) 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. |
| Databáze: | OpenAIRE |
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