<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-14T04:25:04Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:20.500.12327/3275" metadataPrefix="qdc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:20.500.12327/3275</identifier><datestamp>2025-10-22T11:34:34Z</datestamp><setSpec>com_2072_4428</setSpec><setSpec>com_2072_4427</setSpec><setSpec>col_2072_487898</setSpec></header><metadata><qdc:qualifieddc xmlns:qdc="http://dspace.org/qualifieddc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://purl.org/dc/elements/1.1/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dc.xsd http://purl.org/dc/terms/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dcterms.xsd http://dspace.org/qualifieddc/ http://www.ukoln.ac.uk/metadata/dcmi/xmlschema/qualifieddc.xsd">
   <dc:title>Meeting the challenge of varietal and geographical authentication of hazelnuts through lipid metabolite fingerprinting</dc:title>
   <dc:creator>Torres-Cobos, B.</dc:creator>
   <dc:creator>Nicotra, S.B.</dc:creator>
   <dc:creator>Rovira, Merce</dc:creator>
   <dc:creator>Romero, Agusti</dc:creator>
   <dc:creator>Guardiola, F.</dc:creator>
   <dc:creator>Tres, A.</dc:creator>
   <dc:creator>Vichi, S.</dc:creator>
   <dc:contributor>Producció Vegetal</dc:contributor>
   <dc:contributor>Fructicultura</dc:contributor>
   <dcterms:abstract>Hazelnuts are high-quality products with significant economic importance in many European countries. Their&#xd;
market price depends on their qualitative characteristics, which are driven by cultivar and geographical origin,&#xd;
making hazelnuts susceptible to fraud. This study systematically compared two lipidomic fingerprinting strategies for the simultaneous authentication of hazelnut cultivar and provenance, based on the analysis of the&#xd;
unsaponifiable fraction (UF) and triacylglycerol (TAG) profiles by gas chromatography–mass spectrometry&#xd;
coupled with chemometrics. PLS-DA classification models were developed using a large sample set with high&#xd;
natural variability (n = 309) to discriminate hazelnuts by cultivar and origin. External validation results&#xd;
demonstrated the suitability of the UF fingerprint as a hazelnut authentication tool, both tested models showing a&#xd;
high efficiency (>94 %). The correct classification rate of the TAG fingerprinting method was lower (>80 %), but&#xd;
due to its faster analysis time, it is recommended as a complementary screening tool to UF fingerprinting.</dcterms:abstract>
   <dcterms:dateAccepted>2025-10-22T11:34:34Z</dcterms:dateAccepted>
   <dcterms:available>2025-10-22T11:34:34Z</dcterms:available>
   <dcterms:created>2025-10-22T11:34:34Z</dcterms:created>
   <dcterms:issued>2024-09-10</dcterms:issued>
   <dc:type>info:eu-repo/semantics/article</dc:type>
   <dc:identifier>Torres-Cobos, B., S.B. Nicotra, M. Rovira, A. Romero, F. Guardiola, A. Tres, and S. Vichi. 2024. “Meeting the Challenge of Varietal and Geographical Authentication of Hazelnuts Through Lipid Metabolite Fingerprinting.” Food Chemistry, 463 (3): 141203. doi: 10.1016/j.foodchem.2024.141203</dc:identifier>
   <dc:identifier>0308-8146</dc:identifier>
   <dc:identifier>http://hdl.handle.net/20.500.12327/3275</dc:identifier>
   <dc:identifier>https://doi.org/10.1016/j.foodchem.2024.141203</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>Food Chemistry</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: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: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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