Metabolomics-based authentication of wines according to a grape variety

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22330%2F19%3A43919209" target="_blank" >RIV/60461373:22330/19:43919209 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Metabolomics-based authentication of wines according to a grape variety

Popis výsledku v původním jazyce

In recent years, there has been growing interest availability of analytical methods for wine authentication. While procedures for geographic origin authentication have been already reported, development of those for recognition of a grape variety used for wine production still remains a challenge. Here, we investigate the suitability of the metabolomic fingerprinting of authentic wine samples, using ultra-high-performance liquid chromatography coupled to high-resolution tandem mass spectrometry. Red and white wines (five varieties of each, 200 samples in total) were analyzed 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. Our results indicate that an HRMS based metabolomic fingerprinting of wine is a promising strategy for wine variety authentication, of course, additional data are needed to verify the models.

Název v anglickém jazyce

Metabolomics-based authentication of wines according to a grape variety

Popis výsledku anglicky

In recent years, there has been growing interest availability of analytical methods for wine authentication. While procedures for geographic origin authentication have been already reported, development of those for recognition of a grape variety used for wine production still remains a challenge. Here, we investigate the suitability of the metabolomic fingerprinting of authentic wine samples, using ultra-high-performance liquid chromatography coupled to high-resolution tandem mass spectrometry. Red and white wines (five varieties of each, 200 samples in total) were analyzed 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. Our results indicate that an HRMS based metabolomic fingerprinting of wine is a promising strategy for wine variety authentication, of course, additional data are needed to verify the models.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

40105 - Horticulture, viticulture

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů