Prediction of Sulfur Content in Diesel/Biodiesel Blends Using LED-Induced Fluorescence Associated with Multivariate Calibration

AUTOR(ES)

Campos, Alessandra T., Quintella, Cristina M., Meira, Marilena, Luna, Saionara

FONTE

J. Braz. Chem. Soc.

DATA DE PUBLICAÇÃO

2018-07

RESUMO

The present paper concerns to predict the sulfur concentration in biodiesel/diesel blends in the range of 5-100 mg L-1 of sulfur using spectrofluorimetry and partial least squares multivariate calibration (PLS). The calibration set consisted of samples with 10 and 20% (B10 and B20) of biodiesel in diesel with sulfur addition of 5-100 mg L-1. Two PLS models were constructed, one to predict the concentrations of sulfur in B10 blends that presented coefficient of determination (R2) values of 0.9867377 and 0.9801064, respectively, for calibration and validation. The other PLS model predict the concentrations of sulfur in B20 that presented R2 values of 0.9949219 and 0.8573713, respectively, for calibration and validation. Therefore, the models showed adequate efficiency to predict changes in the concentration of sulfur in biodiesel/diesel blends B10 and B20.

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