dc.creatorde Godoy, Luiz Antonio Fonseca
dc.creatorPedroso, Marcio Pozzobon
dc.creatorFerreira, Ernesto Correa
dc.creatorAugusto, Fabio
dc.creatorPoppi, Ronei Jesus
dc.date2011-Mar
dc.date2015-11-27T13:21:03Z
dc.date2015-11-27T13:21:03Z
dc.date.accessioned2018-03-29T01:12:33Z
dc.date.available2018-03-29T01:12:33Z
dc.identifierJournal Of Chromatography. A. v. 1218, n. 12, p. 1663-7, 2011-Mar.
dc.identifier1873-3778
dc.identifier10.1016/j.chroma.2011.01.056
dc.identifierhttp://www.ncbi.nlm.nih.gov/pubmed/21316685
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/199283
dc.identifier21316685
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1299516
dc.descriptionThe 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×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×GC-FID combined with multivariate analysis can be used to predict these physicochemical properties of gasoline.
dc.description1218
dc.description1663-7
dc.languageeng
dc.relationJournal Of Chromatography. A
dc.relationJ Chromatogr A
dc.rightsfechado
dc.rightsCopyright © 2011 Elsevier B.V. All rights reserved.
dc.sourcePubMed
dc.subjectChromatography, Gas
dc.subjectDistillation
dc.subjectGasoline
dc.subjectMultivariate Analysis
dc.subjectPhysicochemical Phenomena
dc.subjectReproducibility Of Results
dc.titlePrediction Of The Physicochemical Properties Of Gasoline By Comprehensive Two-dimensional Gas Chromatography And Multivariate Data Processing.
dc.typeArtículos de revistas


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