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Article

Identification of Tentative Traceability Markers with Direct Implications in Polyphenol Fingerprinting of Red Wines: Application of LC-MS and Chemometrics Methods

1
National Research-Development Institute for Animal Biology and Nutrition—IBNA Balotesti, 1 Calea Bucuresti Street, 077015 Balotesti, Romania
2
Faculty of Biotechnology, University of Agronomic Sciences and Veterinary Medicine of Bucharest, 59 Marasti Blvd, 011464 Bucharest, Romania
3
Department of Food Sciences, Academy of Agricultural and Forestry Sciences, 61 Marasti Blvd, 011464 Bucharest, Romania
4
Centre of Bioanalysis, National Institute for Biological Sciences, 296 Splaiul Independentei, 060031 Bucharest, Romania
5
Faculty of Applied Chemistry and Materials Science, University Politehnica Bucharest, 1-7 Gheorghe Polizu Street, 011061 Bucharest, Romania
*
Author to whom correspondence should be addressed.
Both authors contributed equally to this manuscript.
Academic Editors: Danijela Ašperger and Ivana Tomaz
Separations 2021, 8(12), 233; https://doi.org/10.3390/separations8120233
Received: 6 November 2021 / Revised: 22 November 2021 / Accepted: 30 November 2021 / Published: 3 December 2021
This study investigated the potential of using the changes in polyphenol composition of red wine to enable a more comprehensive chemometric differentiation and suitable identification of authentication markers. Based on high performance liquid chromatography-mass spectrometry (HPLC-MS) data collected from Feteasca Neagra, Merlot, and Cabernet Sauvignon finished wines, phenolic profiles of relevant classes were investigated immediately after vinification (Stage 1), after three months (Stage 2) and six months (Stage 3) of storage, respectively. The data were subjected to multivariate analysis, and resulted in an initial vintage differentiation by principal component analysis (PCA), and variety grouping by canonical discriminant analysis (CDA). Based on polyphenol common biosynthesis route and on the PCA correlation matrix, additional descriptors were investigated. We observed that the inclusion of specific compositional ratios into the data matrix allowed for improved sample differentiation. We obtained simultaneous discrimination according to the considered oenological factors (variety, vintage, and geographical origin) as well as the respective clustering applied during the storage period. Subsequently, further discriminatory investigations to assign wine samples to their corresponding classes relied on partial least squares-discriminant analysis (PLS-DA); the classification models confirmed the clustering initially obtained by PCA. The benefits of the presented fingerprinting approach might justify its selection and warrant its potential as an applicable tool with improved authentication capabilities in red wines. View Full-Text
Keywords: red wine; traceability; polyphenols; markers; authenticity; fingerprinting; chemometrics red wine; traceability; polyphenols; markers; authenticity; fingerprinting; chemometrics
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MDPI and ACS Style

Palade, L.M.; Croitoru, C.; Albu, C.; Radu, G.L.; Popa, M.E. Identification of Tentative Traceability Markers with Direct Implications in Polyphenol Fingerprinting of Red Wines: Application of LC-MS and Chemometrics Methods. Separations 2021, 8, 233. https://doi.org/10.3390/separations8120233

AMA Style

Palade LM, Croitoru C, Albu C, Radu GL, Popa ME. Identification of Tentative Traceability Markers with Direct Implications in Polyphenol Fingerprinting of Red Wines: Application of LC-MS and Chemometrics Methods. Separations. 2021; 8(12):233. https://doi.org/10.3390/separations8120233

Chicago/Turabian Style

Palade, Laurentiu Mihai, Constantin Croitoru, Camelia Albu, Gabriel Lucian Radu, and Mona Elena Popa. 2021. "Identification of Tentative Traceability Markers with Direct Implications in Polyphenol Fingerprinting of Red Wines: Application of LC-MS and Chemometrics Methods" Separations 8, no. 12: 233. https://doi.org/10.3390/separations8120233

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