Screening Brazilian Commercial Gasoline Quality by ASTM D6733 GC and Pattern-Recognition Multivariate SIMCA Chemometric Analysis
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Data
2009-04-01
Autores
Gomes, Glaucia Silverio [UNESP]
Diniz Brito dos Santos, Bruno Cesar [UNESP]
Oliveira, Jose Eduardo de [UNESP]
Flumignan, Danilo Luiz [UNESP]
Título da Revista
ISSN da Revista
Título de Volume
Editor
Vieweg
Resumo
The 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.
Descrição
Palavras-chave
Gas chromatography, ASTM D6733, Brazilian commercial gasoline, Pattern recognition multivariate SIMCA, Quality control
Como citar
Chromatographia. Wiesbaden: Vieweg, v. 69, n. 7-8, p. 719-727, 2009.