Pregled bibliografske jedinice broj: 593696
Application of multivariate analysis for the classification of Croatian blackberry wines according to growing fruit
Application of multivariate analysis for the classification of Croatian blackberry wines according to growing fruit // Knjiga sažetaka Međunarodni znanstveno-stručni skup XIV. Ružičkini dani "Danas znanost - sutra industrija" / Jukić, Ante (ur.).
Zagreb: Hrvatsko društvo kemijskih inženjera i tehnologa (HDKI) ; Prehrambeno tehnološki fakultet Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2012. str. 97-97 (poster, međunarodna recenzija, sažetak, znanstveni)
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Naslov
Application of multivariate analysis for the classification of Croatian blackberry wines according to growing fruit
Autori
Amidžić Klarić, Daniela ; Klarić, Ilija ; Velić, Darko
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Knjiga sažetaka Međunarodni znanstveno-stručni skup XIV. Ružičkini dani "Danas znanost - sutra industrija"
/ Jukić, Ante - Zagreb : Hrvatsko društvo kemijskih inženjera i tehnologa (HDKI) ; Prehrambeno tehnološki fakultet Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2012, 97-97
ISBN
978-953-7005-29-0
Skup
Međunarodni znanstveno-stručni skup XIV. Ružičkini dani "Danas znanost - sutra industrija"
Mjesto i datum
Vukovar, Hrvatska, 13.09.2012. - 15.09.2012
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
blackberry wine; conventionally or organically grown; PCA; LDA
Sažetak
Principal component analysis (PCA), linear discriminant analysis (LDA) and other multivariate statistical methods have been widely applied for wine classification using different variables such as contents of minerals, trace elements, amino acids, phenolic compounds. In this study 90 analyzed parameters (nutritional, biologically active and toxic components, physicochemical parameters and antioxidant activity) were determined in fifteen samples of Croatian blackberry wines. PCA and LDA were carried out using the original data set with the standard procedure (using all variables). Also, principal components (PCs) derived from the original data set with the eigenvalues >1.0 were used for further LDA analysis. Results of PCA analysis conducted on blackberry wine from conventionally and organically grown fruit separated 14 PCs from all analyzed parameters (the original set of variables) which completely explain the variability of blackberry wine. LDA analysis separated 7 PCs which statistically extremely separate two investigated groups (sensitivity and specificity of 100 %) along with exact prediction of the distribution to 100 %. It was also obtained from the results of the LDA analysis carried out on the original group data which separated 12 components of blackberry wine that can be used to classify blackberry wines into organic or conventional groups.
Izvorni jezik
Engleski
Znanstvena područja
Farmacija, Prehrambena tehnologija
POVEZANOST RADA
Ustanove:
Prehrambeno-tehnološki fakultet, Osijek,
Klinička bolnica "Dubrava"