Hrvatska znanstvena Sekcija img
3 gif
 About the project
4 gif
Basic search
Advanced search
Statistical data
Other bibliographies
Similar projects
 Catalogues and databases

Bibliographic record number: 989132

Paper is submitted to a journal

Authors: Hanousek Čiča, Karla; Pezer, Martina; Mrvčić, Jasna; Stanzer, Damir; Čačić, Jasna; Jurak, Vesna; Krajnović, Mirela; Gajdoš Kljusurić, Jasenka
Title: Identification of phenolic and alcoholic compounds in wine spirits and their classification by use of multivariate analysis
Source: Journal of the Serbian Chemical Society (0352-5139) (2019)
Paper status: accepted
Keywords: distillate ; ageing ; NIR spectroscopy ; principal component analysis
During the ageing period wine spirits changing their colour, chemical composition and sensory characteristics. These changes should be simply to mo­nitor. The aim of this study was to develop partial least squares regression (PLS) models for higher alcohols and phenols in wine spirits as well as to show the feasibility of the NIR spectroscopy combined with chemometric tools to dis­tin­guish wine spirits and brandies with different ageing degree. To get the refe­rence values, the usual methods for the analysis of spirits drinks were used. Ethanol, esters, acids, methanol and higher alcohols were studied. Wine spirits and bran­dies phenol composition was determined by liquid chromatography. Principal component analysis (PCA) was used to classify the wine spirits and brandies according to their phenolic and higher alcohols composition. Moreover, the Partial least squares regression (PLS regression) was used to calibrate and predict expected contents of higher alcohols and phenols in the wine spirits. Success of the classification of samples by ageing based on individual alcohols was 93.8 %, while success of the classification based on individual phenols raised to 100 %. This efficiency of the prediction was evaluated by use of linear discriminator analysis (LDA).
Citation databases: Scopus
Science Citation Index Expanded (SCI-EXP) (sastavni dio Web of Science Core Collectiona)
Original language: ENG
Category: Znanstveni
Research fields:
Food processing technology
Contrib. to CROSBI by: Karla Hanousek Čiča (, 11. Ožu. 2019. u 19:32 sati

Print version   za tiskati