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   <dc:title>Comparative analysis of spectroscopic methods for rapid authentication of hazelnut cultivar and origin</dc:title>
   <dc:creator>Torres-Cobos, B.</dc:creator>
   <dc:creator>Tres, A.</dc:creator>
   <dc:creator>Vichi, S.</dc:creator>
   <dc:creator>Guardiola, F.</dc:creator>
   <dc:creator>Rovira, Merce</dc:creator>
   <dc:creator>Romero, Agusti</dc:creator>
   <dc:creator>Baeten, V.</dc:creator>
   <dc:creator>Fernández-Pierna, J.A.</dc:creator>
   <dc:contributor>Producció Vegetal</dc:contributor>
   <dc:contributor>Fructicultura</dc:contributor>
   <dcterms:abstract>Hazelnut market prices fluctuate significantly based on cultivar and provenance, making them susceptible to counterfeiting. To develop an accurate authentication method, we compared the performances of three spectroscopic&#xd;
methods: near infrared (NIR), handheld near infrared (hNIR), and medium infrared (MIR), on over 300 samples from&#xd;
various origins, cultivars, and harvest years. Spectroscopic fingerprints were used to develop and externally validate&#xd;
PLS-DA classification models. Both cultivar and origin models showed high accuracy in external validation. The hNIR&#xd;
model effectively distinguished cultivars but struggled with geographic distinctions due to lower sensitivity. NIR and&#xd;
MIR models showed over 93% accuracy, with NIR slightly outperforming MIR for geographicorigin. NIR proved to be a fast and suitable tool for hazelnut authentication. This study is the first to systematically compare spectroscopic tools for authenticating hazelnut cultivar and origin using the same dataset, offering valuable insights for future food authentication applications.</dcterms:abstract>
   <dcterms:dateAccepted>2025-10-22T11:26:31Z</dcterms:dateAccepted>
   <dcterms:available>2025-10-22T11:26:31Z</dcterms:available>
   <dcterms:created>2025-10-22T11:26:31Z</dcterms:created>
   <dcterms:issued>2024-11-01</dcterms:issued>
   <dc:type>info:eu-repo/semantics/article</dc:type>
   <dc:identifier>Torres-Cobos, B., A. Tres, S. Vichi, F. Guardiola, M. Rovira, A. Romero, V. Baeten, and J.A. Fernández-Pierna. 2025. “Comparative analysis of spectroscopic methods for rapid authentication of hazelnut cultivar and origin”. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 326: 125367. doi: 10.1016/j.saa.2024.125367</dc:identifier>
   <dc:identifier>1386-1425</dc:identifier>
   <dc:identifier>http://hdl.handle.net/20.500.12327/3457</dc:identifier>
   <dc:identifier>https://doi.org/10.1016/j.saa.2024.125367</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy</dc:relation>
   <dc:relation>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</dc:relation>
   <dc:relation>MICINN/Programa Estatal de generación del conocimiento y fortalecimiento científico y tecnológico del sistema I+D+I/CEX2021-001234-M/ES/ /</dc:relation>
   <dc:relation>FEDER/ / /EU/ /</dc:relation>
   <dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
   <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
   <dc:rights>Attribution-NonCommercial-NoDerivatives 4.0 International</dc:rights>
   <dc:publisher>Elsevier</dc:publisher>
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