Rapid and sensitive method for detecting adulterants in gasoline using ultra-fast gas chromatography and Partial Least Square Discriminant Analysis

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dc.contributor.authorNespeca, Maurílio Gustavo [UNESP]
dc.contributor.authorMunhoz, João Fernando Villarrubia Lopes [UNESP]
dc.contributor.authorFlumignan, Danilo Luiz
dc.contributor.authorde Oliveira, José Eduardo [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionScience and Technology of São Paulo (IFSP)
dc.date.accessioned2018-12-11T16:50:32Z
dc.date.available2018-12-11T16:50:32Z
dc.date.issued2018-03-01
dc.description.abstractIn the last years, the Brazilian Fuel Quality Monitoring Program drastically reduced the number of analyzed fuel samples as consequence of the current economic crisis in the country. The impoverishment of the monitoring program may lead to an increase in cases of gasoline adulteration, nonetheless, it also strengthens the search for faster and less costly methodologies for the fuel quality monitoring. Thus, this study aimed the development of a rapid analytical method to detect the adulteration of gasoline with organic solvents through ultra-fast gas chromatography with flame ionization detector (UFGC-FID) associated with the supervised pattern recognition method, Partial Least Square Discriminant Analysis (PLS-DA). The sample set consisted of 171 Brazilian common gasoline (i.e., with ethanol in its composition) and 171 adulterated gasoline prepared in laboratory using 19 different solvents in the concentration range of 2–10% (v/v). The chromatographic method required only 2.85 min and the chromatograms presented 125 peaks on average. The PLS-DA model was developed with 3 latent variables and provided correlation coefficients close to 0.99 and correct discrimination of 100% of calibration and validation samples. Therefore, the developed UFGC-FID/PLS-DA method provided a sensitive, fast and automated alternative method for the detection of adulterants in the monitoring of gasoline quality.en
dc.description.affiliationCenter for Monitoring and Research of the Quality of Fuels Biofuels Crude Oil and Derivatives (Cempeqc) Institute of Chemistry São Paulo State University (UNESP), Prof. Francisco Degni 55
dc.description.affiliationFederal Institute of Education Science and Technology of São Paulo (IFSP), Estéfano D'avassi 625
dc.description.affiliationUnespCenter for Monitoring and Research of the Quality of Fuels Biofuels Crude Oil and Derivatives (Cempeqc) Institute of Chemistry São Paulo State University (UNESP), Prof. Francisco Degni 55
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.format.extent204-211
dc.identifierhttp://dx.doi.org/10.1016/j.fuel.2017.11.032
dc.identifier.citationFuel, v. 215, p. 204-211.
dc.identifier.doi10.1016/j.fuel.2017.11.032
dc.identifier.file2-s2.0-85034048789.pdf
dc.identifier.issn0016-2361
dc.identifier.scopus2-s2.0-85034048789
dc.identifier.urihttp://hdl.handle.net/11449/170375
dc.language.isoeng
dc.relation.ispartofFuel
dc.relation.ispartofsjr1,891
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectFuel quality control
dc.subjectGasoline adulteration
dc.subjectMultivariate filters
dc.subjectPartial Least Square Discriminant Analysis
dc.subjectSelectivity ratio
dc.subjectUltra-fast gas chromatography
dc.titleRapid and sensitive method for detecting adulterants in gasoline using ultra-fast gas chromatography and Partial Least Square Discriminant Analysisen
dc.typeArtigo

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