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Detection of the Adulteration of Motor Oil by Laser Induced Fluorescence Spectroscopy and Chemometric Techniques

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Abstract

Petroleum products are the target of fraudulent practices due to their high commercial value. The aim of this study is to provide a new analysis system to assess motor oil adulteration. For this purpose, Laser Induced Fluorescence (LIF) spectroscopy was exploited coupled with chemometric tools to detect motor oil adulteration by three types of cheap motor oils. Principal Component Analysis (PCA) was able to distinguish samples in three groups according to the type of adulterant. Besides, Partial Least Squares Regression (PLSR) was exploited to determine the percentage of adulteration. The best model was obtained with a regression coefficient of 0.96, Root Mean Square Error of Prediction (RMSEP) of 2.83, Standard Error of Prediction (SEP) of 2.83 and Bias of 0.40. The main results of this work provide new analysis system using the combination of LIF spectroscopy combined to PCA and PLS as an efficient and fast method for motor oil analysis.

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Data Availability

The data that support the findings of this study are available on request from the corresponding author.

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Authors and Affiliations

  1. Laboratory of Physics of Matter and Radiations (LPMR), Physics Department, Mohammed First University, Oujda, Morocco

    Loubna Srata, Sofia Farres, Mounim Chikri, Sihame Addou & Fouad Fethi

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Srata, L., Farres, S., Chikri, M. et al. Detection of the Adulteration of Motor Oil by Laser Induced Fluorescence Spectroscopy and Chemometric Techniques. J Fluoresc 33, 713–720 (2023). https://doi.org/10.1007/s10895-022-03108-9

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