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Multivariate Statistical Analysis for Mutual Dependence Assessment of Selected Polyphenols, Organic Acids and Metals in Cool-Climate Wines
Abstract
Polyphenols, organic acids and metal ions are an important group of compounds that affect the human health and quality of food and beverage products, including wines. It is known that a specific correlation between these groups exist. While wines coming from the New World and the Old World countries are extensively studied, wines coming from cool-climate countries are rarely discussed in the literature. One of the goals of this study was to determine the elemental composition of the wine samples, which later on, together as polyphenols and organic acids content, was used as input data for chemometric analysis. The multivariate statistical approach was applied in order to find specific correlations between the selected group of compounds in the cool-climate wines and the features that distinguish the most and differ between red and white wines and rosé wines. Moreover, special attention was paid to resveratrol and its correlation with selected wine constituents.
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Authors (5)
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Vasil Simeonov prof. dr hab. inż.
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Marcin Frankowski dr
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/molecules27196566
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Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
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MOLECULES
no. 27,
ISSN: 1420-3049 - Language:
- English
- Publication year:
- 2022
- Bibliographic description:
- Fabjanowicz M., Simeonov V., Frankowski M., Wojnowski W., Płotka-Wasylka J.: Multivariate Statistical Analysis for Mutual Dependence Assessment of Selected Polyphenols, Organic Acids and Metals in Cool-Climate Wines// MOLECULES -Vol. 27,iss. 19 (2022), s.6566-
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/molecules27196566
- Sources of funding:
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- COST_FREE
- Verified by:
- Gdańsk University of Technology
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