69 KB210 KB32 KB199820252009Brodnjak-Vončina, DarinkaMocak, JanSedláčkova, BibianaŠnuderl, Katjaštevilka:4letnik:56str. 765-772ISSN:1318-0207COBISSID:13810454URN:URN:NBN:SI:doc-I2XNLJ4GenSlovensko kemijsko društvoActa chimica slovenicaanalizne metodekemijske analizestatistične metodevariancavinoClassification of white varietal wines using chemical analysis and sensorial evaluations|The ways of application of multivariate data analysis and ANOVA to classification of white varietal wines are here demonstrated. Wine classification was performed using the following classification criteria: winevariety, year of production, wine producer, and wine quality, as found by sensorial testing (bouquet, colour, and taste). Subjective wine evaluation, made by wine experts, is combined with commonly used chemical and physico-chemical properties, measured in analytical laboratory. Importance of the measured variables was determined by principal component analysis and confirmed by analysis of variance. Linear discriminant analysis enabled not only a very successful wine classification but also prediction of the wine category for unknown samples. The wine categories were set up either by three wine varieties, or two vintages, wine producers; two or three wine categories established by wine quality reflected either total points obtained in sensorial evaluation or the points obtained for a particular quality descriptor like colour, taste and bouquetTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaSlovensko kemijsko društvo