Fuel forensics: Recent advancements in profiling of adulterated fuels by ATR-FTIR spectroscopy and chemometric approaches
[Display omitted] •Fuel Adulteration is a global issue of concern as it affects directly the economy and environment.•ATR FTIR is a non-destructive and sensitive method for detecting adulterants in different fuels.•Chemometrics with ATR FTIR has proven to be very useful for interpretation and proces...
Gespeichert in:
Veröffentlicht in: | Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Molecular and biomolecular spectroscopy, 2024-05, Vol.312, p.124049, Article 124049 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | [Display omitted]
•Fuel Adulteration is a global issue of concern as it affects directly the economy and environment.•ATR FTIR is a non-destructive and sensitive method for detecting adulterants in different fuels.•Chemometrics with ATR FTIR has proven to be very useful for interpretation and processing of chemical data.
Gasoline and diesel are the main petroleum products used for road transportation in India. Due to this reason, adulteration can be done by fraudsters using different miscible substances such as kerosene, turpentine, thinner, ethanol etc. In this work, Fourier transform infrared spectroscopy (FTIR) coupled with principal component analysis (PCA) and partial least square regression (PLSR) were used to investigate adulteration in petroleum products and to design an adulterant profiling. ATR-FTIR has an advantage over other traditional methods as it is less time-consuming and needs no extraction procedure. The samples used for the study were prepared by adding different volume of adulterant (0–20%) to standard diesel and gasoline samples. According to the results obtained from this study, ATR-FTIR spectroscopy proved to be the most comprehensible method for the detection of adulteration in diesel and gasoline fuels. Furthermore, the use of FTIR spectroscopy combined with PCA got best segregation of adulterated samples. The predictive model achieved a root mean square error of prediction of 0.477% and 0.592% for diesel and gasoline respectively. |
---|---|
ISSN: | 1386-1425 1873-3557 |
DOI: | 10.1016/j.saa.2024.124049 |