Chemical Composition of White Wines Produced from Different Grape Varieties and Wine Regions in Slovakia

Jakabová, Silvia and Fikselová, Martina and Mendelová, Andrea and Ševcík, Michal and Jakab, Imrich and Alácová, Zuzana and Kolackovská, Jana and Ivanova, Violeta (2021) Chemical Composition of White Wines Produced from Different Grape Varieties and Wine Regions in Slovakia. Applied Sciences, 11 (22). p. 11059.

[thumbnail of applsci-11-11059-Jakaboa et al 2021.pdf] Text
applsci-11-11059-Jakaboa et al 2021.pdf - Published Version

Download (1MB)

Abstract

In this work, chemical parameters such as sugar (glucose and fructose) content, organic acid (total acids, malic and tartaric acids), total phenolic content and the antioxidant activity of 12 white wines (chardonnay, pinot blanc and pinot gris) from various wine regions in Slovakia were studied in order to identify differences among the varieties and wine-growing regions. The wine samples were examined by Fourier-transform infrared spectroscopy (FTIR) and UV-VIS spectrophotometry (for determination of total polyphenolic content (TPC) and total antioxidant activity (TAA)) methods. Content of alcohol ranged between 11.50% and 13.80% with the mean value 12.52%. Mean content of total acids varied between 4.63 ± 0.09 and 6.63 ± 0.05 g.L−1, tartaric acid varied between 1.62 ± 0.09 and 2.93 ± 0.03 g L−1, malic acid was found in the concentrations ranged from 0.07 ± 0.05 and 2.50 ± 0.08 g L−1 and lactic acid was present between 1.53 and 0.01 g L−1. The content of fructose was, in general, higher in the samples from the Južnoslovenská and Nitrianska wine regions and glucose was higher in the Malokarpatská wine region. Chardonnay wines showed the highest content of total polyphenols and the antioxidant activity in the samples ranged from 51.06 ± 027 to 72.53 ± 0.35% inhibition of DPPH. The PCA analysis based on chemical descriptors distinguished the Nitrianska and Stredoslovenská wine regions. According to similarities among the wine samples, four main classes were formed by cluster analysis.

Item Type: Article
Impact Factor Value: 2.679
Subjects: Natural sciences > Chemical sciences
Agricultural Sciences > Other agricultural sciences
Divisions: Faculty of Agriculture
Depositing User: Violeta Ivanova Petropulos
Date Deposited: 30 May 2022 08:45
Last Modified: 30 May 2022 08:45
URI: https://eprints.ugd.edu.mk/id/eprint/29781

Actions (login required)

View Item View Item