MULTIVARIATE STATISTICAL ANALYSIS OF ROYAL FETEASCA WINE QUALITY FROM DIFFERENT REGIONS OF ROMANIA COUNTRY

Abstract

The objective of this study is to establish a relation between the physico-chemical parameters and the sensorial characteristics of the Royal Feteasca wine from eight viticulture regions from Romania. The correlation between the physico-chemical parameters of wine and the sensorial characteristics were analyzed using the Principal Component Analysis (PCA) method. The analysis of variation and the principal component analysis showed that there were significant correlations between the wines from the Hills of Banat viticulture region – the winegrowing center Recas, the  Hills of Dobrogea viticulture region – the winegrowing center Murfatlar and the Danube’s Terraces viticulture region – the winegrowing center Fetesti. The wines from these viticulture regions were the best renowned (the silver medal) both sensory – using the sensorial analysis of the wines, with denotation in the penalty points, and physico-chemical through parameters – density, alcoholic concentration, total acidity, volatile acidity and total dry extract. The multivariate analysis of the data show significant differences between various variables that were used for the quality assessment of wine. Significant direct correlations were obtained between taste-quality, taste–intensity, odour- intensity and clarity (r = 0.800, r = 0.775, respectively r = 0.800) and reverted correlations between odour–quality and wine density and volatile acidity (r = - 0.712, r = - 0.771), correlation is significant at the 0.05 level.