Regressions 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. [...]
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The original version of the article was published in Cent. Eur. J.Chem. 10(4) (2012) pp. 1328–1337. Unfortunately, the original version of this article contains a mistake in the affiliation section. Dr Marilena Meira’s affiliation is IFBA - Federal Institute for Education, Science and Technology, Simoes Filho, Bahia 43700-000, Brazil.
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