Burgundy red wines: Representation of potential for aging
Introduction
All wines do not have the same ability to age well throughout long cellaring. Some wines maintain their integrity or even improve with cellaring, whilst other wines are elaborated for consumption when they are young (e.g., Beaujolais nouveau). Thus, consumers should rely on professional experts’ advices to identify which wines can or should be consumed immediately and which wines can be kept. Professional experts base their judgments regarding potential for aging, the so-called “Vin de garde”, on tasting. However, there is no explicit rule to determine whether a wine has an aging potential or not. Thus, the questions are: What sensory criteria are used by professionals to identify wines with a potential for aging, and Is this judgment consensual among professionals in the field?
There is a lot of literature dealing with the evolution of physico-chemical characteristics of wines during aging, such as wine color (Monagas et al., 2006a, Monagas et al., 2007, Perez-Magarino and Gonzalez-San José, 2006), composition (phenolic compounds (Atanasova, Fulcrand, Cheynier, & Moutounet, 2002), pH, alcohol content) and the effect of wine-making methods (Girard, Yuksel, Cliff, Delaquis, & Reynolds, 2001), vintage and storage conditions (Garde-Cerdan & Ancin-Azpilicueta, 2006) on this evolution. Color seems to be a very important parameter in red wines as it enables tasters to anticipate the gustatory and/or olfactory properties based on their previous experience (Bell and Paton, 2000, Morrot et al., 2001). Thus, color can be helpful and may facilitate wine judgement, but it may also interfere in some occasions. For example, Maga (1974) showed that the color green was associated with a lower detection threshold of sweetness, because green is associated with an unripe fruit. Many authors showed that intensely colored solutions are perceived as having a more intense flavor than less intensely colored ones (Christensen, 1983, Johnson et al., 1982, Zellner and Kautz, 1990). Even wine experts are prone to such influences. For example, Pangborn, Berg, and Hansen (1963) reported that a white wine colored in pink to give it the appearance of a rosé was perceived as sweeter by wine professionals and Parr, White, and Heatherbell (2003) reported data where wine professionals rated Chardonnay wines colored with odorless anthocyanin more like red wine when the wine was judged in standard clear glasses than when judged in opaque glasses.
From a chemical point of view, the color of wine as well as its gustatory properties of astringency and bitterness originate from two groups of phenolic compounds, non-flavonoid and flavonoid compounds (Brossaud et al., 2001, Monagas et al., 2006b, Monagas et al., 2006a, Monagas et al., 2007, Montéleone et al., 2004, Peleg et al., 1999, Perez-Magarino and Gonzalez-San José, 2006, Vidal et al., 2003, Vidal et al., 2004). During wine aging these phenolic compounds undergo transformations, such as oxidation, condensation and polymerization (Atanasova et al., 2002, Monagas et al., 2006b) and the modification of these phenolic compounds would lead to a decrease in astringency (Mateus, Pinto, Ruao, & de Freitas, 2004) although the relationships between phenolic concentration and astrincency is not straightforward (Holt, Francis, Field, Herderich, & Iland, 2008). In the same way, Casamayor (2001) argued that the aromatic profile changes during aging and aged wines may develop first empyreumatic and then animal odors. These perceptual informations (color and olfact-gustatory properties) allow professionals to give an approximate age to wine. But how do they estimate its potential for further aging? As mentioned by Dubourdieu (2005), we know very little about the assessment of the aging potential of a wine. To bring some insights into this issue, we worked with Burgundy experts (wine professionals) and Burgundy wines. In a first experiment, we checked the consensus among wine professionals when assessing potential for aging of 16 wines. The basic physico-chemical data on these wines have also been provided to give some indications as the underlying sources of the judgments. In the second experiment, we evaluated the impact of evaluation modalities (visual only, olfacto-gustatory only, and overall) on judgments of potential for aging, employing the same wines as in experiment 1.
Section snippets
Wines
Sixteen commercially available Burgundy red wines (Côte de Nuits, Côte de Beaune, Côte Chalonnaise) were used. According to our suppliers (winemakers, owners of cellars, wine-growers), among these 16 wines, eight had a potential for aging (A) and eight did not have a potential for aging (N). The wines, their vintages, a priori classification and codes are listed in Table 1.
Panel
Forty-one assessors took part in the experiment. All of them had professions related to wine (e.g., winemakers,
Categorization task
A five-dimensional solution was selected as the most appropriate MDS solution (stress value = 0.037). The Hierarchical Cluster Analysis (HCA) performed on the coordinates of the wines on the five MDS dimensions (Fig. 1) shows that the wines can be separated into two main groups. In Group 1 the overall percentage of “YES” answers was 65.3% and “YES” / “NO” ratios ranged from 44/56 (wine N3) to 80/20 (wine A1). In the second group the overall percentage of “NO” answers was 78.4% and the “YES”/”NO”
Wines
The same sixteen wines from experiment 1 were used (Table 1).
Panel
Thirty-four wine professionals participated in this experiment. Most of them had also participated in the first experiment.
Sensory procedure
The assessors were asked to evaluate the wine samples in three conditions. For each condition, they were instructed to indicate whether each wine sample had a potential for aging (“YES” or “NO”). They were also asked to indicate whether they were ‘Sure’, ‘Fairly sure’ or ‘Not sure’ of their answer. In the first
Influence of sensory modalities on the assessment of potential for aging
Fig. 6 presents the stress values obtained in the three experimental conditions of Experiment 2 as a function of the number of dimensions of the MDS model. The dimensionality of the MDS spaces depends on the experimental condition. For the visual examination, only two dimensions are needed to obtain a stress value of 0.035, whereas four dimensions are needed for the overall assessment and five dimensions for the olfacto-gustatory condition in order to obtain similar stress values (stress values =
Conclusion
This study showed good agreement among wine professionals on the assessment of aging potential of red Burgundy wines. To categorize wines, wine professionals appeared to take into consideration a combination of visual and olfacto-gustatory (olfacto-gustatory and tactile) assessment. An astringent wine, with a saturated color will most likely be categorized with potential for aging, whereas a wine which is not astringent with a light color would not. Interestingly, when a conflict occurs between
Acknowledgements
The authors want to thank the winemakers and oenologists who participated in this work for their availability and students for their technical support.
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