Study of motor oil adulteration by infrared spectroscopy and chemometrics methods

► Adulteration of motor oils is investigated by FT-IR and chemometrics. ► PCA, PLS2-DA and PLSR make possible to discriminate among three types of oils. ► Models predict the amount of oil adulteration with very high accuracy. Fourier transform infrared spectroscopy (FTIR) coupled to chemometrics tec...

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Bibliographic Details
Published in:Fuel (Guildford) 2013-02, Vol.104, p.798-804
Main Authors: Bassbasi, M., Hafid, A., Platikanov, S., Tauler, R., Oussama, A.
Format: Article
Language:English
Subjects:
Adulteration
Applied sciences
ATR-MIR
Authentication
Chemometrics
Energy
Energy. Thermal use of fuels
Exact sciences and technology
Fourier transforms
Fuels
Infrared spectroscopy
Least squares method
Mathematical models
Monitoring
Motor oil
Motors
PLS-DA
Spectra
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Summary:► Adulteration of motor oils is investigated by FT-IR and chemometrics. ► PCA, PLS2-DA and PLSR make possible to discriminate among three types of oils. ► Models predict the amount of oil adulteration with very high accuracy. Fourier transform infrared spectroscopy (FTIR) coupled to chemometrics techniques was used to investigate high quality motor oils samples adulterated with lower quality oils, like used oils and standard oils. The results showed that Partial Least Squares (PLS) models based on infrared spectra were a suitable analytical method for predicting adulteration of high quality motor oils in the concentration range from 0% to 36% (w/w), with prediction errors lower than 3% (w/w). Partial Least Squares Discriminate Analysis (PLS2-DA) gave good classification results with 100% correct class prediction, in the spectral range of 1800–600cm–1 and concentration range of 0–20% w/w for the two tested oil adulterants in their binary mixtures with the high quality oil. The proposed method can be employed for quality monitoring and control and rapid screening analysis of adulterated motor oils.
ISSN:0016-2361
1873-7153
DOI:10.1016/j.fuel.2012.05.058