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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/26154
Title: 
GC Fingerprints Coupled to Pattern-Recognition Multivariate SIMCA Chemometric Analysis for Brazilian Gasoline Quality Studies
Author(s): 
Institution: 
Universidade Estadual Paulista (UNESP)
ISSN: 
0009-5893
Sponsorship: 
  • Agência Nacional do Petróleo, Gás Natural e Biocombustíveis (ANP)
  • Gas Natural e Biocombustiveis - ANP
  • Fundação para o Desenvolvimento da UNESP (FUNDUNESP)
  • Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
  • Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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.
Issue Date: 
1-Oct-2009
Citation: 
Chromatographia. Wiesbaden: Vieweg, v. 70, n. 7-8, p. 1135-1142, 2009.
Time Duration: 
1135-1142
Publisher: 
Vieweg
Keywords: 
  • Gas chromatography
  • ASTM D6729
  • Pattern-recognition multivariate SIMCA
  • Brazilian gasoline
Source: 
http://dx.doi.org/10.1365/s10337-009-1277-7
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/26154
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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