Discovery of food identity markers by metabolomics and machine learning technology

Abstract Verification of food authenticity establishes consumer trust in food ingredients and components of processed food. Next to genetic or protein markers, chemicals are unique identifiers of food components. Non-targeted metabolomics is ideally suited to screen food markers when coupled to effi...

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Bibliographic Details
Main Authors: Alexander Erban, Ines Fehrle, Federico Martinez-Seidel, Federico Brigante, Agustín Lucini Más, Veronica Baroni, Daniel Wunderlin, Joachim Kopka
Format: Article
Language:English
Published: Nature Publishing Group 2019-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-019-46113-y