Advances in chemometric control of commercial diesel adulteration by kerosene using IR spectroscopy

Analytical and Bioanalytical Chemistry
Heloise O M A MouraLuciene S de Carvalho

Abstract

Adulteration is a recurrent issue found in fuel screening. Commercial diesel contamination by kerosene is highly difficult to be detected via physicochemical methods applied in market. Although the contamination may affect diesel quality and storage stability, there is a lack of efficient methodologies for this evaluation. This paper assessed the use of IR spectroscopies (MIR and NIR) coupled with partial least squares (PLS) regression, support vector machine regression (SVR), and multivariate curve resolution with alternating least squares (MCR-ALS) calibration models for quantifying and identifying the presence of kerosene adulterant in commercial diesel. Moreover, principal component analysis (PCA), successive projections algorithm (SPA), and genetic algorithm (GA) tools coupled to linear discriminant analysis were used to observe the degradation behavior of 60 samples of pure and kerosene-added diesel fuel in different concentrations over 60 days of storage. Physicochemical properties of commercial diesel with 15% kerosene remained within conformity with Brazilian screening specifications; in addition, specified tests were not able to identify changes in the blends' performance over time. By using multivariate classificatio...Continue Reading

References

Jul 1, 2008·Talanta·Camila N C CorgozinhoPaulo J S Barbeira
Nov 20, 2014·Analytical and Bioanalytical Chemistry·Barbara KrakowskaMiroslaw Sznajder
Aug 4, 2018·Analytical and Bioanalytical Chemistry·Richard G BreretonRomà Tauler

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