dc.creatorPepe, Iuri Muniz
dc.creatorQuintella, Cristina Maria Assis Lopes Tavares da Mata Hermida
dc.creatorTanajura, Alessandra dos Santos
dc.creatorSilva, Humbervânia Reis Gonçalves da
dc.creatorMeira, Marilena
dc.creatorPepe, Iuri Muniz
dc.creatorQuintella, Cristina Maria Assis Lopes Tavares da Mata Hermida
dc.creatorTanajura, Alessandra dos Santos
dc.creatorSilva, Humbervânia Reis Gonçalves da
dc.creatorMeira, Marilena
dc.date.accessioned2022-10-07T19:43:23Z
dc.date.available2022-10-07T19:43:23Z
dc.date.issued2012
dc.identifier1895-1066
dc.identifierhttp://repositorio.ufba.br/ri/handle/ri/15347
dc.identifierv. 10, n. 4
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/4014158
dc.description.abstractRegressions based on fluorescence spectroscopy were developed to provide relatively inexpensive and rapid measurements of the concentration, viscosity, and specific gravity of biodiesel-diesel blends. The methods involved obtaining a mathematical model from spectrofluorimetric data and data from a given property (concentration, dynamic viscosity, or specific gravity) using partial least squares (PLS) regression, which was then applied as a model for predicting properties of interest. The predicted concentrations, dynamic viscosities, and specific gravities of the biodiesel-diesel blends were compared with actual values and agreed reasonably well with the obtained results. The models showed high correlation between real and predicted values. The R-square values near 1 indicated excellent model accuracy for predicting concentrations, specific gravities, and dynamic viscosities of biodiesel-diesel blends. The residual distribution did not follow a trend with respect to the predicted variables, indicating an excellent fit to the data.
dc.languageen
dc.rightsAcesso Aberto
dc.sourcehttp://dx.doi.org/ 10.2478/s11532-012-0054-x
dc.subjectConcentration
dc.subjectSpecific gravity
dc.subjectViscosity
dc.subjectSpectrofluorimetry
dc.subjectMultivariate calibration
dc.titlePrediction of properties of biodiesel-diesel blends using spectrofluorimetry and multivariate calibration
dc.typeArtigo de Periódico


Este ítem pertenece a la siguiente institución