Amb motiu del tancament d'estiu, la validació de documents es reprendrà a partir del 28 d'agost de 2026. Disculpeu les molèsties.
Con motivo del cierre de verano, la validación de documentos se reanudará a partir del 28 de agosto de 2026. Disculpad las molestias
Due to the summer closure, document validation will resume starting August 28, 2026. We apologize for any inconvenience.

Files

858346.pdf (2.75 MB)

Document type

Article

Version

Published version

Publication date

2024-03-17

Publication license

cc-by-nc-nd (c) Julián Lozano-Castellón, et al., 2024
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/216087

Proven traceability strategies using chemometrics for organic food authenticity 

Journal Title

Authors

Director/Tutor

Journal ISSN

Volume Title

Related resource

https://doi.org/10.1016/j.tifs.2024.104430

Abstract

Background: risk of fraudulent mislabeling of organic food, driven by higher prices and a more favorable consumer perception, underscores the necessity for accurate authentication of organic products. Different analytical approaches and statistical analysis have been developed to classify between organic and conventional food. Scope and approach: In this review the current analytical approaches to detect organic food mislabeling are described. Potential and validated markers of organic traceability are explained, together with the techniques and statistical analysis employed. In this article, all the different foods have been reviewed and are presented by type of food. Key findings and conclusions: Variations in the elemental and stable isotopic ratios of fertilizers lead to differences in plant food ratios. In the case of animal food products, the distinct ratio in organic results in a final product with a unique elemental and stable isotopic composition. Those could be used for authenticating organic food. In addition, the different fertilization promotes different metabolic pathways leaving a distinct metabolic signature, hence targeted and untargeted metabolomic analysis permits the traceability of organic food. Finally, the use of soft classification models such as SIMCA, PLS-DA or OPLS-DA permits the classification of organic food and enables prediction of whether a new sample is conventional or organic. 

Subject

Agricultura biològica, Qualitat dels aliments, Espectrometria de masses

Subject (English)

Organic farming, Food quality, Mass spectrometry

Citation

Collections

Articles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia)

Citation

LOZANO-CASTELLÓN, Julián, et al. Proven traceability strategies using chemometrics for organic food authenticity . Trends in Food Science & Technology. 2024. Vol. 147, num. 1-15. ISSN 0924-2244. [consulted: 8 of August of 2026]. Available at: https://hdl.handle.net/2445/216087

Export metadata

JSON - METS

Share record