Metabolomics-based authentication of wines according to grape variety L., Hurkova K., Kocourek V., Pulkrabova J., Tomaniova M., Hajslova J. (2019): Metabolomics-based authentication of wines according to grape variety. Czech J. Food Sci., 37: 239-245.
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In 2008, the European Commission highlighted the risk of wine mislabelling regarding the geographical origin and varietal identification. While analytical methods for the identification of wine by geographical origin exist, a reliable strategy for authentication of wine variety is still missing. Here, we investigate the suitability of the metabolomic fingerprinting of ethyl acetate wine extracts, using ultra-high-performance liquid chromatography coupled to high-resolution tandem mass spectrometry. In total, 43 white wine samples (three varieties) were analysed within our study. The generated data were processed by principal component analysis and then by partial least squares discriminant analysis. The resulting statistical models were validated and assessed according to their R2 (cum) and Q2 (cum) parameters. The most promising models were based on positive ionisation data, enabling successful classification of 92% of wine samples.

Alañón M.E., Pérez-Coello M.S., Marina M.L. (2015): Wine science in the metabolomics era. TrAC Trends in Analytical Chemistry, 74, 1-20
Camin Federica, Dordevic Nikola, Wehrens Ron, Neteler Markus, Delucchi Luca, Postma Geert, Buydens Lutgarde (2015): Climatic and geographical dependence of the H, C and O stable isotope ratios of Italian wine. Analytica Chimica Acta, 853, 384-390
Delcambre Adéline, Saucier Cédric (2013): High-Throughput OEnomics: Shotgun Polyphenomics of Wines. Analytical Chemistry, 85, 9736-9741
Fan Shuangxi, Zhong Qiding, Gao Hongbo, Wang Daobing, Li Guohui, Huang Zhanbin (2018): Elemental profile and oxygen isotope ratio ( δ 18 O) for verifying the geographical origin of Chinese wines. Journal of Food and Drug Analysis, 26, 1033-1044
Geana Elisabeta Irina, Popescu Raluca, Costinel Diana, Dinca Oana Romina, Stefanescu Ioan, Ionete Roxana Elena, Bala Camelia (2016): Verifying the red wines adulteration through isotopic and chromatographic investigations coupled with multivariate statistic interpretation of the data. Food Control, 62, 1-9
Godelmann Rolf, Fang Fang, Humpfer Eberhard, Schütz Birk, Bansbach Melanie, Schäfer Hartmut, Spraul Manfred (2013): Targeted and Nontargeted Wine Analysis by 1 H NMR Spectroscopy Combined with Multivariate Statistical Analysis. Differentiation of Important Parameters: Grape Variety, Geographical Origin, Year of Vintage. Journal of Agricultural and Food Chemistry, 61, 5610-5619
Han Ting-Li, Yang Yang, Zhang Hua, Law Kai P. (2017): Analytical challenges of untargeted GC-MS-based metabolomics and the critical issues in selecting the data processing strategy. F1000Research, 6, 967-
Li Si-Yu, Zhu Bao-Qing, Reeves Malcolm J., Duan Chang-Qing (2018): Phenolic Analysis and Theoretic Design for Chinese Commercial Wines’ Authentication. Journal of Food Science, 83, 30-38
Malec Paige A., Oteri Marianna, Inferrera Veronica, Cacciola Francesco, Mondello Luigi, Kennedy Robert T. (2017): Determination of amines and phenolic acids in wine with benzoyl chloride derivatization and liquid chromatography–mass spectrometry. Journal of Chromatography A, 1523, 248-256
Pisano Pablo L., Silva María F., Olivieri Alejandro C. (2015): Anthocyanins as markers for the classification of Argentinean wines according to botanical and geographical origin. Chemometric modeling of liquid chromatography–mass spectrometry data. Food Chemistry, 175, 174-180
Rubert Josep, Lacina Ondrej, Fauhl-Hassek Carsten, Hajslova Jana (2014): Metabolic fingerprinting based on high-resolution tandem mass spectrometry: a reliable tool for wine authentication?. Analytical and Bioanalytical Chemistry, 406, 6791-6803
Triba Mohamed N., Le Moyec Laurence, Amathieu Roland, Goossens Corentine, Bouchemal Nadia, Nahon Pierre, Rutledge Douglas N., Savarin Philippe (2015): PLS/OPLS models in metabolomics: the impact of permutation of dataset rows on the K-fold cross-validation quality parameters. Molecular BioSystems, 11, 13-19
Vaclavik Lukas, Lacina Ondrej, Hajslova Jana, Zweigenbaum Jerry (2011): The use of high performance liquid chromatography–quadrupole time-of-flight mass spectrometry coupled to advanced data mining and chemometric tools for discrimination and classification of red wines according to their variety. Analytica Chimica Acta, 685, 45-51
Villano Clizia, Lisanti Maria Tiziana, Gambuti Angelita, Vecchio Riccardo, Moio Luigi, Frusciante Luigi, Aversano Riccardo, Carputo Domenico (2017): Wine varietal authentication based on phenolics, volatiles and DNA markers: State of the art, perspectives and drawbacks. Food Control, 80, 1-10
Xi B., Gu H., Baniasadi H., Raftery D. (2014): Statistical analysis and modeling of mass spectrometry-based metabolomics data. Methods in molecular biology (Clifton, N.J.), 1198: 333–353.
Ziółkowska Angelika, Wąsowicz Erwin, Jeleń Henryk H. (2016): Differentiation of wines according to grape variety and geographical origin based on volatiles profiling using SPME-MS and SPME-GC/MS methods. Food Chemistry, 213, 714-720
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