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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10406 - Analytical chemistry

Result continuities

  • Project

  • 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

  • UT code for WoS article

    000869944500008

  • EID of the result in the Scopus database

    2-s2.0-85138212862