2026-04-14T03:32:35Zhttps://recercat.cat/oai/request

oai:recercat.cat:20.500.12327/32752025-10-22T11:34:34Zcom_2072_4428com_2072_4427col_2072_487898

00925njm 22002777a 4500 dc Torres-Cobos, B. author Nicotra, S.B. author Rovira, Merce author Romero, Agusti author Guardiola, F. author Tres, A. author Vichi, S. author 2024-09-10 Hazelnuts are high-quality products with significant economic importance in many European countries. Their market price depends on their qualitative characteristics, which are driven by cultivar and geographical origin, 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 unsaponifiable fraction (UF) and triacylglycerol (TAG) profiles by gas chromatography–mass spectrometry coupled with chemometrics. PLS-DA classification models were developed using a large sample set with high natural variability (n = 309) to discriminate hazelnuts by cultivar and origin. External validation results demonstrated the suitability of the UF fingerprint as a hazelnut authentication tool, both tested models showing a high efficiency (>94 %). The correct classification rate of the TAG fingerprinting method was lower (>80 %), but due to its faster analysis time, it is recommended as a complementary screening tool to UF fingerprinting. 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 0308-8146 http://hdl.handle.net/20.500.12327/3275 https://doi.org/10.1016/j.foodchem.2024.141203 Meeting the challenge of varietal and geographical authentication of hazelnuts through lipid metabolite fingerprinting