1H NMR chemometric models for classification of Czech wine type and variety

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F21%3A88760" target="_blank" >RIV/60460709:41210/21:88760 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0308814620317143" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0308814620317143</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.foodchem.2020.127852" target="_blank" >10.1016/j.foodchem.2020.127852</a>

Result language
angličtina
Original language name
1H NMR chemometric models for classification of Czech wine type and variety
Original language description
A set of 917 wines of Czech origin were analysed using nuclear magnetic resonance spectroscopy (NMR) with the aim of building and evaluating multivariate statistical models and machine learning methods for the classification of 6 types based on colour and residual sugar content, 13 wine grape varieties and 4 locations based on 1H NMR spectra. The findings support chemometrics as a tool for predicting important features in wine, particularly for quality assessment and fraud detection.
Czech name
—
Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
40401 - Agricultural biotechnology and food biotechnology

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)

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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