Determination of ethanol and specific gravity in gasoline by distillation curves and multivariate analysis.
The partial least-squares regression method (PLS) was employed to predict the amount of ethanol and specific gravity in automotive gasoline using distillation curves (ASTM-D86). Additionally, a comparison was made between regression coefficients of all the algorithms, after selecting the number of latent variables. The low values obtained for RMSEC and RMSEP, associated with high accuracy when compared to the standard methodologies (NBR-13992, ASTM-D4052 and D1298) showed that PLS was efficient to determine the ethanol content and specific gravity in gasoline, since the model contains samples of different gasoline compositions, thus reflecting the variety of fuel in the Brazilian market. In addition, the proposed method is low cost, time reducing and easy to implement, as it utilizes the results of a routine assay carried out to evaluate the quality of automotive fuel.
Laboratório de Ensaios de Combustíveis, Departamento de Química, ICEx, UFMG, Av. Antônio Carlos 6627, 31270-901 Belo Horizonte, Minas Gerais, Brazil.
Helga G
HG
Aleme
Letícia M
LM
Costa
Paulo J S
PJ
Barbeira
D000465:Algorithms; D001938:Brazil; D003365:Costs and Cost Analysis; D000431:Ethanol / Q000032:analysis*; D005742:Gasoline / Q000032:analysis*; D015999:Multivariate Analysis; D014835:Volatilization
D005742:Gasoline; D000431:Ethanol