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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/26351
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dc.contributor.authorGomes, Glaucia Silverio-
dc.contributor.authorDiniz Brito dos Santos, Bruno Cesar-
dc.contributor.authorOliveira, Jose Eduardo de-
dc.contributor.authorFlumignan, Danilo Luiz-
dc.date.accessioned2014-05-20T14:21:14Z-
dc.date.accessioned2016-10-25T17:41:54Z-
dc.date.available2014-05-20T14:21:14Z-
dc.date.available2016-10-25T17:41:54Z-
dc.date.issued2009-04-01-
dc.identifierhttp://dx.doi.org/10.1365/s10337-009-0958-6-
dc.identifier.citationChromatographia. Wiesbaden: Vieweg, v. 69, n. 7-8, p. 719-727, 2009.-
dc.identifier.issn0009-5893-
dc.identifier.urihttp://hdl.handle.net/11449/26351-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/26351-
dc.description.abstractThe 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.en
dc.description.sponsorshipAgência Nacional do Petróleo, Gás Natural e Biocombustíveis (ANP)-
dc.description.sponsorshipGas Natural e Biocombustiveis-ANP-
dc.description.sponsorshipFundação para o Desenvolvimento da UNESP (FUNDUNESP)-
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
dc.format.extent719-727-
dc.language.isoeng-
dc.publisherVieweg-
dc.sourceWeb of Science-
dc.subjectGas chromatographyen
dc.subjectASTM D6733en
dc.subjectBrazilian commercial gasolineen
dc.subjectPattern recognition multivariate SIMCAen
dc.subjectQuality controlen
dc.titleScreening Brazilian Commercial Gasoline Quality by ASTM D6733 GC and Pattern-Recognition Multivariate SIMCA Chemometric Analysisen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationSão Paulo State Univ, UNESP, Dept Organ Chem,Inst Chem, Ctr Monitoring & Res Qual Fuels Biofuels Crude Oi, BR-14800900 Araraquara, SP, Brazil-
dc.description.affiliationUnespSão Paulo State Univ, UNESP, Dept Organ Chem,Inst Chem, Ctr Monitoring & Res Qual Fuels Biofuels Crude Oi, BR-14800900 Araraquara, SP, Brazil-
dc.identifier.doi10.1365/s10337-009-0958-6-
dc.identifier.wosWOS:000264885400018-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofChromatographia-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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