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Screening Brazilian Commercial Gasoline Quality by ASTM D6733 GC and Pattern-Recognition Multivariate SIMCA Chemometric Analysis

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dc.contributor.authorGomes, Glaucia Silverio [UNESP]
dc.contributor.authorDiniz Brito dos Santos, Bruno Cesar [UNESP]
dc.contributor.authorOliveira, Jose Eduardo de [UNESP]
dc.contributor.authorFlumignan, Danilo Luiz [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T14:21:14Z
dc.date.available2014-05-20T14:21:14Z
dc.date.issued2009-04-01
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.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.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.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.doi10.1365/s10337-009-0958-6
dc.identifier.issn0009-5893
dc.identifier.lattes9352141379363877
dc.identifier.urihttp://hdl.handle.net/11449/26351
dc.identifier.wosWOS:000264885400018
dc.language.isoeng
dc.publisherVieweg
dc.relation.ispartofChromatographia
dc.relation.ispartofjcr1.401
dc.relation.ispartofsjr0,514
dc.rights.accessRightsAcesso restrito
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.typeArtigo
dcterms.licensehttp://www.springer.com/open+access/authors+rights?SGWID=0-176704-12-683201-0
dcterms.rightsHolderVieweg
dspace.entity.typePublication
unesp.author.lattes9352141379363877
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Química, Araraquarapt
unesp.departmentQuímica Orgânica - IQARpt

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Araraquara - IQAR - Instituto de Química