Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/80916
Type: Artigo de periódico
Title: Prediction of the physicochemical properties of gasoline by comprehensive two-dimensional gas chromatography and multivariate data processing
Author: de Godoy, LAF
Pedroso, MP
Ferreira, EC
Augusto, F
Poppi, RJ
Abstract: The estimation of physicochemical parameters such as distillation points and relative densities still plays an important role in the quality control of gasoline and similar fuels. Their measurements according to standard ASTM procedures demands specific equipments and are time and work consuming. An alternative method to predict distillation points and relativity density by multivariate analysis of comprehensive two-dimensional gas chromatography with flame ionization detection (GC x GC-FID) data is presented here. Gasoline samples, previously tested according to standard methods, were used to build regression models, which were evaluated by external validation. The models for distillation points were built using variable selection methods, while the model for relativity density was built using the whole chromatograms. The root mean square prediction differences (RMSPD) obtained were 0.85%, 0.48%, 1.07% and 1.71% for 10, 50 and 90% v/v of distillation and for the final point of distillation, respectively. For relative density, the RMSPD was 0.24%. These results suggest that GC x GC-FID combined with multivariate analysis can be used to predict these physicochemical properties of gasoline. (C) 2011 Elsevier B.V. All rights reserved.
Subject: Gasoline
Comprehensive two-dimensional gas chromatography
Multivariate analysis
Country: Holanda
Editor: Elsevier Science Bv
Rights: fechado
Identifier DOI: 10.1016/j.chroma.2011.01.056
Date Issue: 2011
Appears in Collections:Unicamp - Artigos e Outros Documentos

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