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
Iwona Budziak-Wieczorek,
Vladimír Mašán,
Klaudia Rząd,
Bożena Gładyszewska,
Dariusz Karcz,
Patrik Burg,
Alice Čížková,
Mariusz Gagoś,
Arkadiusz Matwijczuk
Affiliations
Iwona Budziak-Wieczorek
Department of Chemistry, Faculty of Life Sciences and Biotechnology, University of Life Sciences in Lublin, Akademicka 15, 20-950 Lublin, Poland
Vladimír Mašán
Department of Horticultural Machinery, Mendel University in Brno, Valtická 337, 691 44 Lednice, Czech Republic
Klaudia Rząd
Department of Biophysics, University of Life Sciences in Lublin, Akademicka 13, 20-950 Lublin, Poland
Bożena Gładyszewska
Department of Biophysics, University of Life Sciences in Lublin, Akademicka 13, 20-950 Lublin, Poland
Dariusz Karcz
Department of Chemical Technology and Environmental Analytics, Krakow University of Technology, 31-155 Krakow, Poland
Patrik Burg
Department of Horticultural Machinery, Mendel University in Brno, Valtická 337, 691 44 Lednice, Czech Republic
Alice Čížková
Department of Horticultural Machinery, Mendel University in Brno, Valtická 337, 691 44 Lednice, Czech Republic
Mariusz Gagoś
Department of Biochemistry and Molecular Biology, Medical University of Lublin, 20-093 Lublin, Poland
Arkadiusz Matwijczuk
Department of Biophysics, University of Life Sciences in Lublin, Akademicka 13, 20-950 Lublin, Poland
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.
