Instrument comparability of non-targeted UHPLC-HRMS for wine authentication
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22330%2F23%3A43926003" target="_blank" >RIV/60461373:22330/23:43926003 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.foodcont.2022.109360" target="_blank" >https://doi.org/10.1016/j.foodcont.2022.109360</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.foodcont.2022.109360" target="_blank" >10.1016/j.foodcont.2022.109360</a>
Alternative languages
Result language
angličtina
Original language name
Instrument comparability of non-targeted UHPLC-HRMS for wine authentication
Original language description
Instrument comparability is a major prerequisite for the harmonization of non-targeted analytical approaches for food authentication. While non-targeted liquid chromatography coupled with mass spectrometry (LC-MS) is a powerful and widely used technique in authenticity studies, inter-laboratory or instrument comparison exercises are rare. For the first time, in the present study a comparison of two LC-MS platforms using identical setups and conditions except for the mass spectrometer (Orbitrap Q Exactive™ Focus vs. Plus) was carried out in order to assess the impact of instrumental differences on the classification of grape varieties in wine. A set of 201 red and white wine samples comprising 10 grape varieties was analyzed with both platforms and subjected to multivariate statistical analysis. Using unsupervised and supervised methods, the same correlation pattern between samples was observed with both platforms. Partial Least Squares – Discriminant Analysis (PLS-DA) classification models achieved comparable accuracies in the internal validation (90–95%). The percentage of common discriminating features was about 46–69% between both platforms. The common features were used to merge data from both instruments and joint PLS-DA models produced excellent results. The prediction of data from one platform with the model from the other platform, as well as a model using data from both platforms, resulted in correct classification rates of 92–98%. Putative identification of common features was performed to determine potential marker substances for grape varieties. With this study, a first step towards harmonization of non-targeted LC-MS approaches for wine authentication is taken, advancing their potential application in official food control. © 2022 The Authors
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10406 - Analytical chemistry
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Food control
ISSN
0956-7135
e-ISSN
1873-7129
Volume of the periodical
144
Issue of the periodical within the volume
FEB 2023
Country of publishing house
US - UNITED STATES
Number of pages
9
Pages from-to
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UT code for WoS article
000869944500008
EID of the result in the Scopus database
2-s2.0-85138212862