Issue 44, 2023

Method development for forensic oil identification by direct analysis in real time time-of-flight mass spectrometry

Abstract

The current well-established chromatography and mass spectrometry based oil spill identification procedures, such as those outlined by the European Committee for Standardization, are highly reliable as methods, highly defensible in the court of law, and widely applicable to the majority of oil spill situations. Nevertheless, the methodology is time consuming and labour intensive, which may not be ideal when dealing with an emergency oil spill situation. In this study, direct analysis in real time time-of-flight mass spectrometry (DART/TOFMS) was used to successfully develop an efficient oil identification method. To confirm the accuracy of this method spilled oil samples were tested from five previous years of blind round robin testing organized by the oil spill identification network of experts (OSINET) under the Bonn Agreement. Heatmap inspection, principal component analysis and finally discriminant analysis of principal components were used to arrive at final predictions regarding the identities of the spilled oil samples. The results were compared with the results of previous gas chromatography flame ionization detection (GC/FID) and gas chromatography triple quadrupole mass spectrometry (GC/MS/MS) analyses of the same oils. While taking only about a tenth of the time, the DART/TOFMS analysis produced results similar to those of classical GC/FID and GC/MS/MS (EI+) procedures. The ability of DART/TOFMS to display this level of validity exemplifies its potential to be a new tool for supplementing classical analyses for oil spill forensics.

Graphical abstract: Method development for forensic oil identification by direct analysis in real time time-of-flight mass spectrometry

Supplementary files

Article information

Article type
Paper
Submitted
25 Jul 2023
Accepted
16 Oct 2023
First published
02 Nov 2023

Anal. Methods, 2023,15, 6040-6047

Method development for forensic oil identification by direct analysis in real time time-of-flight mass spectrometry

K. Tikkisetty, T. Filewood, J. Yan, H. Kwok, P. Brunswick, R. Cody and D. Shang, Anal. Methods, 2023, 15, 6040 DOI: 10.1039/D3AY01282D

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