dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorGomes, Glaucia Silverio
dc.creatorDiniz Brito dos Santos, Bruno Cesar
dc.creatorOliveira, Jose Eduardo de
dc.creatorFlumignan, Danilo Luiz
dc.date2014-05-20T14:21:14Z
dc.date2016-10-25T17:41:54Z
dc.date2014-05-20T14:21:14Z
dc.date2016-10-25T17:41:54Z
dc.date2009-04-01
dc.date.accessioned2017-04-05T22:35:39Z
dc.date.available2017-04-05T22:35:39Z
dc.identifierChromatographia. Wiesbaden: Vieweg, v. 69, n. 7-8, p. 719-727, 2009.
dc.identifier0009-5893
dc.identifierhttp://hdl.handle.net/11449/26351
dc.identifierhttp://acervodigital.unesp.br/handle/11449/26351
dc.identifier10.1365/s10337-009-0958-6
dc.identifierWOS:000264885400018
dc.identifierhttp://dx.doi.org/10.1365/s10337-009-0958-6
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/871078
dc.descriptionThe combination of ASTM D6733 gas chromatographic fingerprinting data with pattern-recognition multivariate soft independent modeling of class analogy (SIMCA) chemometric analysis provides an original and alternative approach to screening Brazilian commercial gasoline quality in a monitoring program for quality control of automotive fuels. SIMCA was performed on chromatographic fingerprints to classify the quality of the gasoline samples. Using SIMCA, it was possible to correctly classify 94.0% of commercial gasoline samples, which is considered acceptable. The method is recommended for quality-control monitoring. Quality control and police laboratories could employ this method for rapid monitoring.
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.languageeng
dc.publisherVieweg
dc.relationChromatographia
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectGas chromatography
dc.subjectASTM D6733
dc.subjectBrazilian commercial gasoline
dc.subjectPattern recognition multivariate SIMCA
dc.subjectQuality control
dc.titleScreening Brazilian Commercial Gasoline Quality by ASTM D6733 GC and Pattern-Recognition Multivariate SIMCA Chemometric Analysis
dc.typeOtro


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