Fuel forensics: Recent advancements in profiling of adulterated fuels by ATR-FTIR spectroscopy and chemometric approaches
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Summary
This summary is machine-generated.Fourier transform infrared (FTIR) spectroscopy effectively detects fuel adulteration in diesel and gasoline. This method, combined with principal component analysis (PCA), provides a rapid and accurate profiling of adulterated petroleum products.
Area Of Science
- Analytical Chemistry
- Spectroscopy
- Petroleum Science
Background
- Fuel adulteration, particularly in diesel and gasoline, is a significant issue in road transportation.
- Common adulterants include kerosene, turpentine, thinner, and ethanol, posing risks to engines and the environment.
- Traditional detection methods can be time-consuming and require complex sample preparation.
Purpose Of The Study
- To investigate the adulteration of diesel and gasoline using Fourier transform infrared (FTIR) spectroscopy.
- To develop an adulterant profiling method for petroleum products.
- To evaluate the efficacy of Attenuated Total Reflectance FTIR (ATR-FTIR) coupled with chemometrics.
Main Methods
- Attenuated Total Reflectance FTIR (ATR-FTIR) spectroscopy was employed for rapid sample analysis.
- Principal Component Analysis (PCA) was used for data visualization and sample segregation.
- Partial Least Square Regression (PLSR) was utilized to build predictive models for adulteration levels.
- Samples were prepared by adding varying volumes (0-20%) of adulterants to standard diesel and gasoline.
Main Results
- ATR-FTIR proved to be a highly effective and time-efficient method for detecting fuel adulteration.
- FTIR combined with PCA demonstrated excellent segregation of adulterated samples from genuine ones.
- The predictive models achieved low root mean square errors of prediction: 0.477% for diesel and 0.592% for gasoline.
Conclusions
- ATR-FTIR spectroscopy is a robust and accessible technique for identifying adulteration in diesel and gasoline fuels.
- The integration of FTIR with PCA and PLSR offers a powerful tool for adulterant profiling and quantitative analysis.
- This approach provides a faster and more efficient alternative to traditional fuel analysis methods.
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