Correlation between phenolic characteristic of red wines in discriminant analysis of wines geographic origin.

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... order to determine whether the grape maturity index can influence each other, the Pearson correlation coefficient was calculated for each studied parameter as it shown in Table 3. A Pearson correlation coefficient value higher than 0.5 shows a strong correlation between the analysed varieties, a positive correlation between the two parameters shows that both parameters increased, a negative correlation indicates that a parameter increased while the second one decreased and vice-versa. These provide a large number of both positive and negative correlations between the main parameters of the analysed wines. (Table 3). Based on the previous Pearson correlation index, through this present research have been shown that the grape maturity index have an influence on each other; in other words, the phenolic maturity of the red wine varieties from Dealu Bujorului are directly contingent on all these parameters. Combining the phenolic characteristics of red wines for wine geographical discrimination Multivariate chemometric method was applied for the differentiation of wines intro groups on the basis of their geographic origin. Stepwise linear discriminant analysis (LDA) was used to identify significant tracers for classification to the geographical discrimination of the wines samples. By cross-validation, we established the optimal number of parameters required to obtain a robust model. The differentiation of wines according to geographic origin based on the phenolic characteristic of wine, in this case a 83.02% percentage of predicted membership according to the wine geographic origin (F1 = 52.00 % and F2 = 31.02 %) ( Figure 1). Based on the phenolic characteristic, a relevant discrimination of wines according to their geographical origin and culture system was performed. The variation of the phenolic characteristic represents a strong geological marker for wines geographical traceability. The proposed methodology allowed an 83.02 % successful classification of wines according to the region of ...