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Prediction of Relative Density, Distillation Temperatures, Flash Point, and Cetane Number of S500 Diesel Oil Using Multivariate Calibration of Gas Chromatographic Profiles

dc.contributor.authorZanão, Lídia Renata [UNESP]
dc.contributor.authorDiniz Brito Dos Santos, Bruno César [UNESP]
dc.contributor.authorSequinel, Rodrigo
dc.contributor.authorFlumignan, Danilo Luiz
dc.contributor.authorDe Oliveira, José Eduardo [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Federal do Paraná (UFPR)
dc.contributor.institutionScience and Technology-IFSP
dc.date.accessioned2018-12-11T16:54:35Z
dc.date.available2018-12-11T16:54:35Z
dc.date.issued2018-08-16
dc.description.abstractIn the present study, hierarchical cluster analysis was used to select 150 S500 diesel fuel samples from an initial set of 1320 samples assayed through official standards according to ANP Brazilian Regulation No. 50/2013. Four physicochemical properties were analyzed, namely, relative density, distillation temperatures (T10%, T50%, and T85%), flash point, and cetane number. Selected samples were also analyzed by gas chromatography with flame ionization detection (GC-FID), a very common technique used for fuel quality control due to its convenience, accuracy, simplicity, and possible association of the chromatographic profiles with multivariate analyses. PLS regression models were obtained aiming at predicting the four physicochemical properties of the diesel fuel samples. From a maximum chromatographic analysis time of 108 min, regression models with unbiased predictions and good prediction capability for all properties were obtained, with average relative errors lower than 6%.en
dc.description.affiliationInstitute of Chemistry Center for Monitoring and Research of the Quality of Fuels Biofuels Crude Oil and Derivatives CEMPEQC São Paulo State University-UNESP, Rua Prof. Francisco Degni, 55
dc.description.affiliationEngineering and Exacts Department-Setor Palotina Federal University of Paraná-UFPR, Rua Pioneiro, 2153
dc.description.affiliationSão Paulo Federal Institute of Education Science and Technology-IFSP Campus Matão, Rua Estéfano D'avassi, 625
dc.description.affiliationUnespInstitute of Chemistry Center for Monitoring and Research of the Quality of Fuels Biofuels Crude Oil and Derivatives CEMPEQC São Paulo State University-UNESP, Rua Prof. Francisco Degni, 55
dc.format.extent8108-8114
dc.identifierhttp://dx.doi.org/10.1021/acs.energyfuels.8b01295
dc.identifier.citationEnergy and Fuels, v. 32, n. 8, p. 8108-8114, 2018.
dc.identifier.doi10.1021/acs.energyfuels.8b01295
dc.identifier.issn1520-5029
dc.identifier.issn0887-0624
dc.identifier.scopus2-s2.0-85050344569
dc.identifier.urihttp://hdl.handle.net/11449/171246
dc.language.isoeng
dc.relation.ispartofEnergy and Fuels
dc.relation.ispartofsjr1,159
dc.relation.ispartofsjr1,159
dc.rights.accessRightsAcesso restrito
dc.sourceScopus
dc.titlePrediction of Relative Density, Distillation Temperatures, Flash Point, and Cetane Number of S500 Diesel Oil Using Multivariate Calibration of Gas Chromatographic Profilesen
dc.typeArtigo
unesp.author.orcid0000-0003-3207-4891[4]

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