2026-04-18T06:01:54Zhttps://recercat.cat/oai/requestoai:recercat.cat:20.500.12327/27812025-10-22T11:01:13Zcom_2072_4428com_2072_4427col_2072_487898
RECERCAT
author
Torres-Cobos, B.
author
Quintanilla-Casas, B.
author
Rovira, M.
author
Romero, A.
author
Guardiola, F.
author
Vichi, S.
author
Tres, A.
other
Producció Vegetal
group
Fructicultura
2025-10-22T11:01:13Z
2025-10-22T11:01:13Z
2024-01-04
Torres-Cobos, Berta, Beatriz Quintanilla‐Casas, M. Rovira, Agustí Romero, Francesc Guardiola, Stefania Vichi, and Alba Tres. 2024.“Prospective Exploration of Hazelnut’s Unsaponifiable Fraction for Geographical and Varietal Authentication: A Comparative Study of Advanced Fingerprinting and Untargeted Profiling Techniques.” Food Chemistry 441: 138294. doi:10.1016/j.foodchem.2023.138294.
0308-8146
http://hdl.handle.net/20.500.12327/2781
https://doi.org/10.1016/j.foodchem.2023.138294
This study compares two data processing techniques (fingerprinting and untargeted profiling) to authenticate
hazelnut cultivar and provenance based on its unsaponifiable fraction by GC–MS. PLS-DA classification models
were developed on a selected sample set (n = 176). As test cases, cultivar models were developed for “Tonda di
Giffoni” vs other cultivars, whereas provenance models were developed for three origins (Chile, Italy or Spain).
Both fingerprinting and untargeted profiling successfully classified hazelnuts by cultivar or provenance,
revealing the potential of the unsaponifiable fraction. External validation provided over 90 % correct classification, with fingerprinting slightly outperforming. Analysing PLS-DA models’ regression coefficients and
tentatively identifying compounds corresponding to highly relevant variables showed consistent agreement in
key discriminant compounds across both approaches. However, fingerprinting in selected ion mode extracted
slightly more information from chromatographic data, including minor discriminant species. Conversely,
untargeted profiling acquired in full scan mode, provided pure spectra, facilitating chemical interpretability.
eng
Attribution-NonCommercial-NoDerivatives 4.0 International
Prospective exploration of hazelnut’s unsaponifiable fraction for geographical and varietal authentication: A comparative study of advanced fingerprinting and untargeted profiling techniques
info:eu-repo/semantics/article