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

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T14:21:14Z
dc.date.available2014-05-20T14:21:14Z
dc.date.created2014-05-20T14:21:14Z
dc.date.issued2009-04-01
dc.identifierChromatographia. Wiesbaden: Vieweg, v. 69, n. 7-8, p. 719-727, 2009.
dc.identifier0009-5893
dc.identifierhttp://hdl.handle.net/11449/26351
dc.identifier10.1365/s10337-009-0958-6
dc.identifierWOS:000264885400018
dc.identifier9352141379363877
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.
dc.languageeng
dc.publisherVieweg
dc.relationChromatographia
dc.relation1.401
dc.relation0,514
dc.rightsAcesso restrito
dc.sourceWeb of Science
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.typeArtículos de revistas


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