2026-04-13T13:27:00Zhttps://recercat.cat/oai/request

oai:recercat.cat:2445/1737462025-12-05T14:55:36Zcom_2072_1057col_2072_478917col_2072_478924

urn:hdl:2445/173746 Flash Gas Chromatography in Tandem with Chemometrics: A Rapid Screening Tool for Quality Grades of Virgin Olive Oils Barbieri, Sara Cevoli, Chiara Bendini, Alessandra Quintanilla-Casas, Beatriz García González, Diego Luís Gallina Toschi, Tullia Oli d'oliva Cromatografia de gasos Traçabilitat Olive oil Gas chromatography Traceability This research aims to develop a classification model based on untargeted elaboration of volatile fraction fingerprints of virgin olive oils (n = 331) analyzed by flash gas chromatography to predict the commercial category of samples (extra virgin olive oil, EVOO; virgin olive oil, VOO; lampante olive oil, LOO). The raw data related to volatile profiles were considered as independent variables, while the quality grades provided by sensory assessment were defined as a reference parameter. This data matrix was elaborated using the linear technique partial least squares-discriminant analysis (PLS-DA), applying, in sequence, two sequential classification models with two categories (EVOO vs. no-EVOO followed by VOO vs. LOO and LOO vs. no-LOO followed by VOO vs. EVOO). The results from this large set of samples provide satisfactory percentages of correctly classified samples, ranging from 72% to 85%, in external validation. This confirms the reliability of this approach in rapid screening of quality grades and that it represents a valid solution for supporting sensory panels, increasing the effciency of the controls, and also applicable to the industrial sector. 2021-02-09T08:15:30Z 2021-02-09T08:15:30Z 2020-07-02 2021-02-09T08:15:30Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Reproducció del document publicat a: https://doi.org/10.3390/foods9070862 Foods, 2020, vol. 9, num. 7 https://doi.org/10.3390/foods9070862 info:eu-repo/grantAgreement/EC/H2020/635690/EU//OLEUM cc-by (c) Barbieri, Sara et al., 2020 http://creativecommons.org/licenses/by/3.0/es info:eu-repo/semantics/openAccess MDPI Articles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia)