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Pregled bibliografske jedinice broj: 989132

Identification of phenolic and alcoholic compounds in wine spirits and their classification by use of multivariate analysis


Hanousek Čiča, Karla; Pezer, Martina; Mrvčić, Jasna; Stanzer, Damir; Čačić, Jasna; Jurak, Vesna; Krajnović, Mirela; Gajdoš Kljusurić, Jasenka
Identification of phenolic and alcoholic compounds in wine spirits and their classification by use of multivariate analysis // Journal of the Serbian Chemical Society, 84 (2019), 7; 663-677 doi:10.2298/JSC190115020H (međunarodna recenzija, članak, znanstveni)


Naslov
Identification of phenolic and alcoholic compounds in wine spirits and their classification by use of multivariate analysis

Autori
Hanousek Čiča, Karla ; Pezer, Martina ; Mrvčić, Jasna ; Stanzer, Damir ; Čačić, Jasna ; Jurak, Vesna ; Krajnović, Mirela ; Gajdoš Kljusurić, Jasenka

Izvornik
Journal of the Serbian Chemical Society (0352-5139) 84 (2019), 7; 663-677

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Distillate ; ageing ; NIR spectroscopy ; principal component analysis

Sažetak
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).

Izvorni jezik
Engleski

Znanstvena područja
Prehrambena tehnologija



POVEZANOST RADA


Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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