Investigating isotopic markers for hazelnut geographical authentication: Promising variables and potential applications
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 au...
| Autores: | , , , , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Institut de Recerca i Tecnologia Agroalimentàries (IRTA) |
| Repositorio: | IRTA Pubpro. Open Digital Archive |
| OAI Identifier: | oai:repositori.irta.cat:20.500.12327/2918 |
| Acceso en línea: | http://hdl.handle.net/20.500.12327/2918 https://doi.org/10.1016/j.foodchem.2024.139083 |
| Access Level: | acceso abierto |
| Palabra clave: | 663/664 |
| Sumario: | 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. |
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