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Novel Application of NIR Spectroscopy for Non-Destructive Determination of 'Marastina' Wine Parameters.
Kljusuric, Jasenka Gajdos; Boban, Ana; Mucalo, Ana; Budic-Leto, Irena.
Afiliação
  • Kljusuric JG; Faculty of Food Technology and Biotechnology, University of Zagreb, Pierottijeva 6, 10 000 Zagreb, Croatia.
  • Boban A; Institute for Adriatic Crops and Karst Reclamation, Put Duilova 11, 21 000 Split, Croatia.
  • Mucalo A; Institute for Adriatic Crops and Karst Reclamation, Put Duilova 11, 21 000 Split, Croatia.
  • Budic-Leto I; Institute for Adriatic Crops and Karst Reclamation, Put Duilova 11, 21 000 Split, Croatia.
Foods ; 11(8)2022 Apr 18.
Article em En | MEDLINE | ID: mdl-35454759
This study investigates the colour and standard chemical composition of must and wines produced from the grapes from Vitis vinifera L., 'Marastina', harvested from 10 vineyards located in two different viticultural subregions of the Adriatic region of Croatia: Northern Dalmatia and Central and Southern Dalmatia. The aim was to explore the use of NIR spectroscopy combined with chemometrics to determine the characteristics of Marastina wines and to develop calibration models relating NIR spectra and physicochemical/colour data. Differences in the colour parameters (L*, a*, hue) of wines related to the subregions were confirmed. Colour difference (ΔE) of must vs. wine significantly differed for the samples from the Marastina grapes grown in both subregions. Principal component regression was used to construct the calibration models based on NIR spectra and standard physicochemical and colour data showing high prediction ability of the 13 studied parameters of must and/or wine (average R2 of 0.98 and RPD value of 6.8). Principal component analysis revealed qualitative differences of must and wines produced from the same grape variety but grown in different subregions.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Revista: Foods Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Croácia País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Revista: Foods Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Croácia País de publicação: Suíça