FIA-HRMS fingerprinting subjected to chemometrics as a valuable tool to address food classification and authentication: Application to red wine, paprika, and vegetable oil samples.

Food Chem

Department of Chemical Engineering and Analytical Chemistry, University of Barcelona, Martí i Franquès 1-11, E08028 Barcelona, Spain; Research Institute in Food Nutrition and Food Safety, University of Barcelona, Av. Prat de la Riba 171, Edifici Recerca (Gaudí), E08921 Santa Coloma de Gramenet, Spain.

Published: March 2022

AI Article Synopsis

  • The study addresses the growing issue of food fraud by using a robust analytical technique, flow injection analysis coupled with high-resolution mass spectrometry (FIA-HRMS), to verify the authenticity of various food products.
  • It focuses on four specific authentication challenges: identifying the geographical origin of Spanish red wines and European paprikas, distinguishing olive oil from other vegetable oils, and assessing the quality category of olive oil.
  • The results showed that the method achieved high classification accuracy and successfully identified key compounds in food products, enhancing consumer protection against food fraud.

Article Abstract

The rise of food fraud practices, affecting a wide variety of goods and their specific characteristics (e.g., quality or geographical origin), demands rapid high-throughput analytical approaches to ensure consumers protection. In this context, this study assesses flow injection analysis coupled to high-resolution mass spectrometry (FIA-HRMS), using a fingerprinting approach and combined with chemometrics, to address four food authentication issues: (i) the geographical origin of three Spanish red wines, (ii) the geographical origin of three European paprikas, (iii) the distinction of olive oil from other vegetable oils and (iv) the assessment of its quality category. In each case, negative and positive ionisation FIA-HRMS fingerprints, and two different data fusion strategies, were evaluated. After external validation, excellent classification accuracies were reached. Moreover, high-resolution mass spectrometry (HRMS) allowed sample matrices characterisation by the putative identification of the most common ions.

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Source
http://dx.doi.org/10.1016/j.foodchem.2021.131491DOI Listing

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