Validation of long-term stability of chemometric models employed for varietal authentication of wines (follow-up study)

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22330%2F22%3A43925451" target="_blank" >RIV/60461373:22330/22:43925451 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Validation of long-term stability of chemometric models employed for varietal authentication of wines (follow-up study)
Original language description
On the occasion of RAFA 2021 (www.rafa2021.eu), we presented a metabolic fingerprinting-bases multiclass strategy for varietal authentication of wines, which was developed within a joint research project of University of Chemistry and Technology Prague (UCT Prague) and German Federal Institute for Risk Assessment (BfR Berlin). 201 samples of five red and five white wine varieties were analysed and used for the creation of classification models. These models were arranged into decision trees and used for wine varietal identification. With classification rates ≥ 94% for both red and white wines, this strategy proved to be highly reliable. In the follow-up study, an additional sample set of 138 white wine samples was analysed and used for the verification of long-term stability of the previously created classification models. With a classification rate of 87%, the tested white wine decision tree appeared to be robust. Hence, the developed authentication strategy is very promising.
Czech name
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Czech description
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Project
<a href="/en/project/LM2018100" target="_blank" >LM2018100: Infrastructure for Promoting Metrology in Food and Nutrition in the Czech Republic</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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