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Evaluation of the Quality of Selected White and Red Wines Produced from Moravia Region of Czech Republic Using Physicochemical Analysis, FTIR Infrared Spectroscopy and Chemometric Techniques
The FTIR-ATR method coupled with the multivariate analysis of specific spectral areas of samples was developed to characterize two white grape varieties (Sauvignon Blanc and Hibernal) and two blue grape varieties (André and Cabernet Moravia) of wine planted and harvested in the Moravia region, Czech...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10489813/ https://www.ncbi.nlm.nih.gov/pubmed/37687155 http://dx.doi.org/10.3390/molecules28176326 |
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author | Budziak-Wieczorek, Iwona Mašán, Vladimír Rząd, Klaudia Gładyszewska, Bożena Karcz, Dariusz Burg, Patrik Čížková, Alice Gagoś, Mariusz Matwijczuk, Arkadiusz |
author_facet | Budziak-Wieczorek, Iwona Mašán, Vladimír Rząd, Klaudia Gładyszewska, Bożena Karcz, Dariusz Burg, Patrik Čížková, Alice Gagoś, Mariusz Matwijczuk, Arkadiusz |
author_sort | Budziak-Wieczorek, Iwona |
collection | PubMed |
description | The FTIR-ATR method coupled with the multivariate analysis of specific spectral areas of samples was developed to characterize two white grape varieties (Sauvignon Blanc and Hibernal) and two blue grape varieties (André and Cabernet Moravia) of wine planted and harvested in the Moravia region, Czech Republic. Principal component analysis and hierarchical cluster analysis were performed using fingerprint regions of FTIR spectra for all wines. The results obtained by principal component analysis in combination with linear discriminant analysis (PCA-LDA) scores yielded clear separation between the four classes of samples and showed very good discrimination between the wine samples, with a 91.7% overall classification rate for the samples. The conducted FTIR spectroscopy studies coupled with chemometrics allowed for the swift analysis of multiple wine components with minimal sample preparation. These methods can be used in research to improve specific properties of these wines, which will undoubtedly enhance the quality of the final wine samples obtained. |
format | Online Article Text |
id | pubmed-10489813 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104898132023-09-09 Evaluation of the Quality of Selected White and Red Wines Produced from Moravia Region of Czech Republic Using Physicochemical Analysis, FTIR Infrared Spectroscopy and Chemometric Techniques Budziak-Wieczorek, Iwona Mašán, Vladimír Rząd, Klaudia Gładyszewska, Bożena Karcz, Dariusz Burg, Patrik Čížková, Alice Gagoś, Mariusz Matwijczuk, Arkadiusz Molecules Article The FTIR-ATR method coupled with the multivariate analysis of specific spectral areas of samples was developed to characterize two white grape varieties (Sauvignon Blanc and Hibernal) and two blue grape varieties (André and Cabernet Moravia) of wine planted and harvested in the Moravia region, Czech Republic. Principal component analysis and hierarchical cluster analysis were performed using fingerprint regions of FTIR spectra for all wines. The results obtained by principal component analysis in combination with linear discriminant analysis (PCA-LDA) scores yielded clear separation between the four classes of samples and showed very good discrimination between the wine samples, with a 91.7% overall classification rate for the samples. The conducted FTIR spectroscopy studies coupled with chemometrics allowed for the swift analysis of multiple wine components with minimal sample preparation. These methods can be used in research to improve specific properties of these wines, which will undoubtedly enhance the quality of the final wine samples obtained. MDPI 2023-08-29 /pmc/articles/PMC10489813/ /pubmed/37687155 http://dx.doi.org/10.3390/molecules28176326 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Budziak-Wieczorek, Iwona Mašán, Vladimír Rząd, Klaudia Gładyszewska, Bożena Karcz, Dariusz Burg, Patrik Čížková, Alice Gagoś, Mariusz Matwijczuk, Arkadiusz Evaluation of the Quality of Selected White and Red Wines Produced from Moravia Region of Czech Republic Using Physicochemical Analysis, FTIR Infrared Spectroscopy and Chemometric Techniques |
title | Evaluation of the Quality of Selected White and Red Wines Produced from Moravia Region of Czech Republic Using Physicochemical Analysis, FTIR Infrared Spectroscopy and Chemometric Techniques |
title_full | Evaluation of the Quality of Selected White and Red Wines Produced from Moravia Region of Czech Republic Using Physicochemical Analysis, FTIR Infrared Spectroscopy and Chemometric Techniques |
title_fullStr | Evaluation of the Quality of Selected White and Red Wines Produced from Moravia Region of Czech Republic Using Physicochemical Analysis, FTIR Infrared Spectroscopy and Chemometric Techniques |
title_full_unstemmed | Evaluation of the Quality of Selected White and Red Wines Produced from Moravia Region of Czech Republic Using Physicochemical Analysis, FTIR Infrared Spectroscopy and Chemometric Techniques |
title_short | Evaluation of the Quality of Selected White and Red Wines Produced from Moravia Region of Czech Republic Using Physicochemical Analysis, FTIR Infrared Spectroscopy and Chemometric Techniques |
title_sort | evaluation of the quality of selected white and red wines produced from moravia region of czech republic using physicochemical analysis, ftir infrared spectroscopy and chemometric techniques |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10489813/ https://www.ncbi.nlm.nih.gov/pubmed/37687155 http://dx.doi.org/10.3390/molecules28176326 |
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