Investigating isotopic markers for hazelnut geographical authentication: Promising variables and potential applications
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Author
Torres-Cobos, B.
Rosell, M.
Soler, A.
Guardiola, F.
Vichi, S.
Tres, A.
Publication date
2024-03-23ISSN
0308-8146
Abstract
Hazelnuts' features and price are influenced by their geographical origin, making them susceptible to fraud,
especially counterfeit claims regarding their provenance. Stable isotope analysis is a recognised approach to
establish the geographical origin of foods, yet its potential in hazelnut authentication remains unexplored. In this
prospective study, we assessed multiple isotopic markers in hazelnuts from different origins and evaluated the
most promising variables for geographical authentication by chemometric tools. Our findings indicate that bulk
δ18O, along with δ2H and δ13C in the main fatty acid methyl esters, exhibit significant potential in discriminating
geographical origins, and 87Sr/86Sr analysis could serve as a proficient confirmatory tool. Though no single
marker alone can differentiate between all the studied origins, employing a multi-isotopic approach based on
PLS-DA models achieved up to 92.5 % accuracy in leave-10 %-out cross-validation. These findings will probably
lay the groundwork for developing robust models for hazelnut geographical authentication based on larger
datasets.
Document Type
Article
Document version
Published version
Language
English
Subject (CDU)
663/664 - Food and nutrition. Enology. Oils. Fat
Pages
9
Publisher
Elsevier
Is part of
Food Chemistry
Citation
Torres-Cobos, Berta, Mònica Rosell, Albert Soler, M. Rovira, Agustí Romero, Francesc Guardiola, Stefania Vichi, and Alba Tres. 2024. “Investigating Isotopic Markers for Hazelnut Geographical Authentication: Promising Variables and Potential Applications.” Food Chemistry 449: 139083. doi:10.1016/j.foodchem.2024.139083.
Grant agreement number
MICIU/Programa Estatal de generación del conocimiento y fortalecimiento científico y tecnológico del sistema I+D+I y Programa Estatal de I+D+I orientada a los retos de la sociedad/PID2020-117701RB-I00/ES/Desarrollo de herramientas de detección de fraudes en frutos secos españoles con alto riesgo de falsificación/TRACENUTS
MINECO/Programa Estatal de promoción del talento y su empleabilidad en I+D+I/RYC-2017-23601/ES/ /
MICINN/Programa Estatal de generación del conocimiento y fortalecimiento científico y tecnológico del sistema I+D+I/CEX2021-001234-M/ES/ /
FEDER/ / /EU/ /
Program
Fructicultura
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- ARTICLES CIENTÍFICS [2555]
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Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc-nd/4.0/