Title: Metabolomics for organic food authentication: Results from a long-term field study in carrots
Citation: FOOD CHEMISTRY vol. 239 p. 760-770
Publication Year: 2016
JRC N°: JRC100470
ISSN: 0308-8146
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC100470
DOI: 10.1016/j.foodchem.2017.06.161
Type: Articles in periodicals and books
Abstract: Increasing demand for organic products and their premium prices make them an attractive target for fraudulent malpractices. In this study, a large-scale comparative metabolomics approach was applied to investigate the effect of the agronomic production system on the metabolite composition of carrots and to build statistical models for prediction purposes. Orthogonal projections to latent structures-discriminant analysis (OPLS-DA) was applied successfully to predict the origin of the agricultural system of the harvested carrots on the basis of features determined by liquid chromatography-mass spectrometry. When the training set used to build the OPLS-DA models contained samples representative of each harvest year, the models were able to classify unknown samples correctly (100% correct classification). If a harvest year was left out of the training sets and used for predictions, the correct classification rates achieved ranged from 76% to 100%. The results therefore highlight the potential of metabolomic fingerprinting for organic food authentication purposes.
JRC Directorate:Health, Consumers and Reference Materials

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