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  • Author: Adriána Bednárová x
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Adriána Bednárová, Roman Kranvogl, Darinka Brodnjak-Vončina and Tjaša Jug

Abstract

The determination of the sensorial quality of wines is of great interest for wine consumers and producers since it declares the quality in most of the cases. The sensorial assays carried out by a group of experts are time-consuming and expensive especially when dealing with large batches of wines. Therefore, an attempt was made to assess the possibility of estimating the wine sensorial quality with using routinely measured chemical descriptors as predictors. For this purpose, 131 Slovenian red wine samples of different varieties and years of production were analysed and correlation and principal component analysis were applied to find inter-relations between the studied oenological descriptors. The method of artificial neural networks (ANNs) was utilised as the prediction tool for estimating overall sensorial quality of red wines. Each model was rigorously validated and sensitivity analysis was applied as a method for selecting the most important predictors. Consequently, acceptable results were obtained, when data representing only one year of production were included in the analysis. In this case, the coefficient of determination (R2) associated with training data was 0.95 and that for validation data was 0.90. When estimating sensorial quality in categorical form, 94 % and 85 % of correctly classified samples were achieved for training and validation subset, respectively.

Open access

Andrea Lančaričová, Michaela Havrlentová, Darina Muchová and Adriána Bednárová

Abstract

Oil content, fatty acids profile, acid and saponification values of poppy seeds grown on two localities of the Slovak Republic were evaluated in the study. Statistically significant effects of locality, genotype and their interaction (P < 0.05) for numerous descriptors were proved by non-parametric tests. Results confirmed that variation in the analysed parameters was influenced by the colour of seeds. Ochre variety Redy contained the highest oil level in both localities (49.9 and 52.4%) and linoleic acid level (74.3 and 71.6%). White-seeded Racek and Albín had the highest acid value (2.8 and 2.4% of free fatty acids) and grey-seeded Malsar and blue-seeded Maratón contained the highest saponification value. Buddha, a high-morphine poppy variety, differed significantly in all monitored parameters. High negative interrelation between linoleic and oleic acids levels was observed. Oil content was positively correlated with linoleic acid and negatively with oleic acid. Weather conditions at the end of vegetation influenced the accumulation of oil and essential linoleic acid.