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

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorNespeca, Maurílio Gustavo-
Autor(es): dc.creatorMunhoz, João Fernando Villarrubia Lopes-
Autor(es): dc.creatorFlumignan, Danilo Luiz-
Autor(es): dc.creatorde Oliveira, José Eduardo-
Data de aceite: dc.date.accessioned2021-03-11T00:34:12Z-
Data de disponibilização: dc.date.available2021-03-11T00:34:12Z-
Data de envio: dc.date.issued2018-12-11-
Data de envio: dc.date.issued2018-12-11-
Data de envio: dc.date.issued2018-03-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1016/j.fuel.2017.11.032-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/170375-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/170375-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
Descrição: dc.descriptionIn 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.-
Formato: dc.format204-211-
Idioma: dc.languageen-
Relação: dc.relationFuel-
Relação: dc.relation1,891-
Direitos: dc.rightsopenAccess-
Palavras-chave: dc.subjectFuel quality control-
Palavras-chave: dc.subjectGasoline adulteration-
Palavras-chave: dc.subjectMultivariate filters-
Palavras-chave: dc.subjectPartial Least Square Discriminant Analysis-
Palavras-chave: dc.subjectSelectivity ratio-
Palavras-chave: dc.subjectUltra-fast gas chromatography-
Título: dc.titleRapid and sensitive method for detecting adulterants in gasoline using ultra-fast gas chromatography and Partial Least Square Discriminant Analysis-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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