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Title: | Flash Gas Chromatography in Tandem with Chemometrics: A Rapid Screening Tool for Quality Grades of Virgin Olive Oils |
Author: | Barbieri, Sara Cevoli, Chiara Bendini, Alessandra Quintanilla-Casas, Beatriz García González, Diego Luís Gallina Toschi, Tullia |
Keywords: | Oli d'oliva Cromatografia de gasos Traçabilitat Olive oil Gas chromatography Traceability |
Issue Date: | 2-Jul-2020 |
Publisher: | MDPI |
Abstract: | 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. |
Note: | Reproducció del document publicat a: https://doi.org/10.3390/foods9070862 |
It is part of: | Foods, 2020, vol. 9, num. 7 |
URI: | http://hdl.handle.net/2445/173746 |
Related resource: | https://doi.org/10.3390/foods9070862 |
ISSN: | 2304-8158 |
Appears in Collections: | Articles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia) |
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