Multivariate Statistical Analysis for Mutual Dependence Assessment of Selected Polyphenols, Organic Acids and Metals in Cool-Climate Wines
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Molecules |
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| Online Access: | https://www.mdpi.com/1420-3049/27/19/6566 |
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| author | Magdalena Fabjanowicz Vasil Simeonov Marcin Frankowski Wojciech Wojnowski Justyna Płotka-Wasylka |
| author_facet | Magdalena Fabjanowicz Vasil Simeonov Marcin Frankowski Wojciech Wojnowski Justyna Płotka-Wasylka |
| author_sort | Magdalena Fabjanowicz |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T21:23:49Z |
| format | Article |
| id | doaj.art-884eee782201447e9bd9e9a41312e67c |
| institution | Directory Open Access Journal |
| issn | 1420-3049 |
| language | English |
| last_indexed | 2024-03-09T21:23:49Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Molecules |
| spelling | doaj.art-884eee782201447e9bd9e9a41312e67c2023-11-23T21:13:29ZengMDPI AGMolecules1420-30492022-10-012719656610.3390/molecules27196566Multivariate Statistical Analysis for Mutual Dependence Assessment of Selected Polyphenols, Organic Acids and Metals in Cool-Climate WinesMagdalena Fabjanowicz0Vasil Simeonov1Marcin Frankowski2Wojciech Wojnowski3Justyna Płotka-Wasylka4Department of Analytical Chemistry, Faculty of Chemistry, Gdańsk University of Technology (GUT), 11/12 Narutowicza Street, 80-233 Gdańsk, PolandFaculty of Chemistry and Pharmacy, University of Sofia, 1 James Bourchier Blvd., 1126 Sofia, BulgariaDeparment of Analytical and Environmental Chemistry, Faculty of Chemistry, Adam Mickiewicz University, Uniwersytetu Poznańskiego 8, 61-614 Poznań, PolandDepartment of Analytical Chemistry, Faculty of Chemistry, Gdańsk University of Technology (GUT), 11/12 Narutowicza Street, 80-233 Gdańsk, PolandDepartment of Analytical Chemistry, Faculty of Chemistry and BioTechMed Center, Gdańsk University of Technology (GUT), 11/12 Narutowicza Street, 80-233 Gdańsk, PolandPolyphenols, 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.https://www.mdpi.com/1420-3049/27/19/6566ICP-MSchemometric analysiscool-climate winesresveratrolmultivariate statisticschemical compound |
| spellingShingle | Magdalena Fabjanowicz Vasil Simeonov Marcin Frankowski Wojciech Wojnowski Justyna Płotka-Wasylka Multivariate Statistical Analysis for Mutual Dependence Assessment of Selected Polyphenols, Organic Acids and Metals in Cool-Climate Wines Molecules ICP-MS chemometric analysis cool-climate wines resveratrol multivariate statistics chemical compound |
| title | Multivariate Statistical Analysis for Mutual Dependence Assessment of Selected Polyphenols, Organic Acids and Metals in Cool-Climate Wines |
| title_full | Multivariate Statistical Analysis for Mutual Dependence Assessment of Selected Polyphenols, Organic Acids and Metals in Cool-Climate Wines |
| title_fullStr | Multivariate Statistical Analysis for Mutual Dependence Assessment of Selected Polyphenols, Organic Acids and Metals in Cool-Climate Wines |
| title_full_unstemmed | Multivariate Statistical Analysis for Mutual Dependence Assessment of Selected Polyphenols, Organic Acids and Metals in Cool-Climate Wines |
| title_short | Multivariate Statistical Analysis for Mutual Dependence Assessment of Selected Polyphenols, Organic Acids and Metals in Cool-Climate Wines |
| title_sort | multivariate statistical analysis for mutual dependence assessment of selected polyphenols organic acids and metals in cool climate wines |
| topic | ICP-MS chemometric analysis cool-climate wines resveratrol multivariate statistics chemical compound |
| url | https://www.mdpi.com/1420-3049/27/19/6566 |
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