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GC Fingerprints Coupled to Pattern-Recognition Multivariate SIMCA Chemometric Analysis for Brazilian Gasoline Quality Studies

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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 São 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.

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Acknowledgments

Part of this manuscript was Rafael Rodrigues Hatanaka’s diploma work. The authors wish to thank the Agência Nacional do Petróleo, Gás Natural e Biocombustíveis – ANP and FUNDUNESP for financial support, along with CAPES, CNPq and FUNDUNESP for the provision of scholarships, and also CEMPEQC (Centro de Monitoramento e Pesquisa na Qualidade de Combustíveis, Biocombustíveis, Petróleo e Derivados) for offering its infrastructure and staff for the development of this work.

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Authors and Affiliations

  1. Organic Chemistry Department, Center for Monitoring and Research of the Quality of Fuels, Biofuels, Crude Oil and Derivatives, CEMPEQC, Institute of Chemistry, São Paulo State University, UNESP, R. Prof. Francisco Degni s/n, Quitandinha, Araraquara, SP, 14800-900, Brazil

    Rafael Rodrigues Hatanaka, Danilo Luiz Flumignan & José Eduardo de Oliveira

Authors
  1. Rafael Rodrigues Hatanaka
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  2. Danilo Luiz Flumignan
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  3. José Eduardo de Oliveira
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Correspondence to José Eduardo de Oliveira.

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Hatanaka, R.R., Flumignan, D.L. & de Oliveira, J.E. GC Fingerprints Coupled to Pattern-Recognition Multivariate SIMCA Chemometric Analysis for Brazilian Gasoline Quality Studies. Chroma 70, 1135–1142 (2009). https://doi.org/10.1365/s10337-009-1277-7

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