Prediction of the physicochemical properties of gasoline by comprehensive two-dimensional gas chromatography and multivariate data processing

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorGodoy, Luiz Antonio Fonseca de-
Autor(es): dc.creatorPedroso, Marcio Pozzobon-
Autor(es): dc.creatorFerreira, Ernesto Correa-
Autor(es): dc.creatorAugusto, Fabio-
Autor(es): dc.creatorPoppi, Ronei Jesus-
Data de aceite: dc.date.accessioned2026-02-09T12:01:19Z-
Data de disponibilização: dc.date.available2026-02-09T12:01:19Z-
Data de envio: dc.date.issued2020-07-13-
Data de envio: dc.date.issued2020-07-13-
Data de envio: dc.date.issued2011-03-25-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/41868-
Fonte completa do material: dc.identifierhttps://www.sciencedirect.com/science/article/abs/pii/S0021967311001270-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1152605-
Descrição: 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.-
Idioma: dc.languageen-
Publicador: dc.publisherElsevier-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceJournal of Chromatography-
Palavras-chave: dc.subjectGasoline-
Palavras-chave: dc.subjectComprehensive two-dimensional gas chromatography-
Palavras-chave: dc.subjectMultivariate analysis-
Título: dc.titlePrediction of the physicochemical properties of gasoline by comprehensive two-dimensional gas chromatography and multivariate data processing-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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