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Quality classification of Spanish olive oils by untargeted gas chromatography coupled to hybrid quadrupole–time of flight mass spectrometry with atmospheric pressure chemical ionization and metabolomics-based statistical approach
dc.contributor.author | Sales Martínez, Carlos | |
dc.contributor.author | Cervera Vidal, María Inés | |
dc.contributor.author | Gil Solsona, Ruben | |
dc.contributor.author | Pitarch, Elena | |
dc.contributor.author | Beltran Arandes, Joaquin | |
dc.contributor.author | Portoles, Tania | |
dc.date.accessioned | 2016-10-18T14:46:51Z | |
dc.date.available | 2016-10-18T14:46:51Z | |
dc.date.issued | 2017-02 | |
dc.identifier.citation | C. Sales, M.I. Cervera, R. Gil, T. Portolés, E. Pitarch, J. Beltran, Quality classification of Spanish olive oils by untargeted gas chromatography coupled to hybrid quadrupole-time of flight mass spectrometry with atmospheric pressure chemical ionization and metabolomics-based statistical approach, Food Chemistry, Volume 216, 1 February 2017, Pages 365-373 | ca_CA |
dc.identifier.issn | 0308-8146 | |
dc.identifier.uri | http://hdl.handle.net/10234/163651 | |
dc.description.abstract | The novel atmospheric pressure chemical ionization (APCI) source has been used in combination with gas chromatography (GC) coupled to hybrid quadrupole time-of-flight (QTOF) mass spectrometry (MS) for determination of volatile components of olive oil, enhancing its potential for classification of olive oil samples according to their quality using a metabolomics-based approach. The full-spectrum acquisition has allowed the detection of volatile organic compounds (VOCs) in olive oil samples, including extra virgin, virgin and lampante qualities. A dynamic headspace extraction with cartridge solvent elution was applied. The metabolomics strategy consisted of three different steps: a full mass spectral alignment of GC-MS data using MzMine 2.0, a multivariate analysis using Ez-Info and the creation of the statistical model with combinations of responses for molecular fragments. The model was finally validated using blind samples, obtaining an accuracy in oil classification of 70 % taking the official established method, “PANEL TEST” as reference. | ca_CA |
dc.description.sponsorShip | The authors acknowledge the financial support of Generalitat Valenciana, as research group of excellence (PROMETEO II/2014/023) and Collaborative Research on Environment and Food-Safety (ISIC/2012/016). This work and C. Sales grant has been supported by Universitat Jaume I research promotion plans (P1-1B2013-70) | ca_CA |
dc.format.extent | 25 p. | ca_CA |
dc.format.mimetype | application/pdf | ca_CA |
dc.language.iso | eng | ca_CA |
dc.publisher | Elsevier | ca_CA |
dc.relation.isPartOf | Food Chemistry, v. 216, 1 February 2017 | ca_CA |
dc.rights | Atribución-NoComercial-SinDerivadas 4.0 España | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Virgin olive oil | ca_CA |
dc.subject | atmospheric pressure chemical ionization | ca_CA |
dc.subject | gas chromatography | ca_CA |
dc.subject | mass spectrometry | ca_CA |
dc.subject | metabolomics | ca_CA |
dc.subject | purge and trap | ca_CA |
dc.title | Quality classification of Spanish olive oils by untargeted gas chromatography coupled to hybrid quadrupole–time of flight mass spectrometry with atmospheric pressure chemical ionization and metabolomics-based statistical approach | ca_CA |
dc.type | info:eu-repo/semantics/article | ca_CA |
dc.identifier.doi | http://dx.doi.org/10.1016/j.foodchem.2016.08.033 | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca_CA |
dc.relation.publisherVersion | http://www.sciencedirect.com/science/article/pii/S0308814616312638 | ca_CA |
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