Fingerprints for Main Varieties of Argentinean Wines: Terroir Differentiation by Inorganic, Organic, and Stable Isotopic Analyses Coupled to Chemometrics
- 15 June 2011
- journal article
- research article
- Published by American Chemical Society (ACS) in Journal of Agricultural and Food Chemistry
- Vol. 59 (14), 7854-7865
- https://doi.org/10.1021/jf2007419
Abstract
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 δ13C 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.Keywords
This publication has 40 references indexed in Scilit:
- An overview of analytical methods for determining the geographical origin of food productsFood Chemistry, 2008
- Differentiation of ‘two Andalusian DO ‘fino’ wines according to their metal content from ICP-OES by using supervised pattern recognition methodsMicrochemical Journal, 2007
- Study of mineral profile of Montilla-Moriles “fino” wines using inductively coupled plasma atomic emission spectrometry methodsJournal of Food Composition and Analysis, 2007
- Differentiation of Czech wines using multielement composition – A comparison with vineyard soilFood Chemistry, 2005
- Changes of the Metal Composition in German White Wines through the Winemaking Process. A Study of 63 Elements by Inductively Coupled Plasma−Mass SpectrometryJournal of Agricultural and Food Chemistry, 2004
- Multielement Composition of Wines and Their Precursors Including Provenance Soil and Their Potentialities As Fingerprints of Wine OriginJournal of Agricultural and Food Chemistry, 2003
- Statistical investigation of the differences in the distribution of metals in Nebbiolo-based winesFood Chemistry, 2003
- Classification of commercial wines from the Canary Islands (Spain) by chemometric techniques using metallic contentsTalanta, 2003
- Multivariate classification of rosé wines from different Spanish protected designations of originAnalytica Chimica Acta, 2002
- Characterisation of Galician (NW Spain) Ribeira Sacra wines using pattern recognition analysisAnalytica Chimica Acta, 2000