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http://acervodigital.unesp.br/handle/11449/26154Registro de metadados completo
| Campo DC | Valor | Idioma |
|---|---|---|
| dc.contributor.author | Hatanaka, Rafael Rodrigues | - |
| dc.contributor.author | Flumignan, Danilo Luiz | - |
| dc.contributor.author | de Oliveira, Jose Eduardo | - |
| dc.date.accessioned | 2014-05-20T14:20:27Z | - |
| dc.date.accessioned | 2016-10-25T17:41:39Z | - |
| dc.date.available | 2014-05-20T14:20:27Z | - |
| dc.date.available | 2016-10-25T17:41:39Z | - |
| dc.date.issued | 2009-10-01 | - |
| dc.identifier | http://dx.doi.org/10.1365/s10337-009-1277-7 | - |
| dc.identifier.citation | Chromatographia. Wiesbaden: Vieweg, v. 70, n. 7-8, p. 1135-1142, 2009. | - |
| dc.identifier.issn | 0009-5893 | - |
| dc.identifier.uri | http://hdl.handle.net/11449/26154 | - |
| dc.identifier.uri | http://acervodigital.unesp.br/handle/11449/26154 | - |
| dc.description.abstract | ASTM D6729 gas chromatographic fingerprinting coupled to pattern-recognition multivariate soft independent modeling of class analogy (SIMCA) chemometric analysis provides an original and alternative approach to screening Brazilian commercial gasoline quality. SIMCA, was performed on gas chromatographic fingerprints to classify the quality of representative commercial gasoline samples selected by hierarchical cluster analysis and collected over a 5 month period from gas stations in So Paulo State, Brazil. Following an optimized ASTM D6729 gas chromatographic-SIMCA algorithm, it was possible to correctly classify the majority of commercial gasoline samples. The method could be employed for rapid monitoring to discourage adulteration. | en |
| dc.description.sponsorship | Agência Nacional do Petróleo, Gás Natural e Biocombustíveis (ANP) | - |
| dc.description.sponsorship | Gas Natural e Biocombustiveis - ANP | - |
| dc.description.sponsorship | Fundação para o Desenvolvimento da UNESP (FUNDUNESP) | - |
| dc.description.sponsorship | Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) | - |
| dc.description.sponsorship | Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) | - |
| dc.format.extent | 1135-1142 | - |
| dc.language.iso | eng | - |
| dc.publisher | Vieweg | - |
| dc.source | Web of Science | - |
| dc.subject | Gas chromatography | en |
| dc.subject | ASTM D6729 | en |
| dc.subject | Pattern-recognition multivariate SIMCA | en |
| dc.subject | Brazilian gasoline | en |
| dc.title | GC Fingerprints Coupled to Pattern-Recognition Multivariate SIMCA Chemometric Analysis for Brazilian Gasoline Quality Studies | en |
| dc.type | outro | - |
| dc.contributor.institution | Universidade Estadual Paulista (UNESP) | - |
| dc.description.affiliation | São Paulo State Univ, UNESP, Inst Chem,Organ Chem Dept,CEMPEQC, Ctr Monitoring & Res Qual Fuels Biofuels Crude Oi, BR-14800900 Araraquara, SP, Brazil | - |
| dc.description.affiliationUnesp | São Paulo State Univ, UNESP, Inst Chem,Organ Chem Dept,CEMPEQC, Ctr Monitoring & Res Qual Fuels Biofuels Crude Oi, BR-14800900 Araraquara, SP, Brazil | - |
| dc.identifier.doi | 10.1365/s10337-009-1277-7 | - |
| dc.identifier.wos | WOS:000271069400016 | - |
| dc.rights.accessRights | Acesso restrito | - |
| dc.relation.ispartof | Chromatographia | - |
| Aparece nas coleções: | Artigos, TCCs, Teses e Dissertações da Unesp | |
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