Metabolomics-based authentication of wines according to grape variety
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22330%2F19%3A43918942" target="_blank" >RIV/60461373:22330/19:43918942 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.agriculturejournals.cz/publicFiles/82_2019-CJFS.pdf" target="_blank" >https://www.agriculturejournals.cz/publicFiles/82_2019-CJFS.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.17221/82/2019-CJFS" target="_blank" >10.17221/82/2019-CJFS</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Metabolomics-based authentication of wines according to grape variety
Popis výsledku v původním jazyce
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. © 2019 Czech Academy of Agricultural Sciences. All rights reserved.
Název v anglickém jazyce
Metabolomics-based authentication of wines according to grape variety
Popis výsledku anglicky
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. © 2019 Czech Academy of Agricultural Sciences. All rights reserved.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
40105 - Horticulture, viticulture
Návaznosti výsledku
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)
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Czech Journal of Food Sciences
ISSN
1212-1800
e-ISSN
—
Svazek periodika
37
Číslo periodika v rámci svazku
4
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
7
Strana od-do
239-245
Kód UT WoS článku
000493757700004
EID výsledku v databázi Scopus
2-s2.0-85072564203