Detection of Petrol (Gasoline) in Fire Debris by Gas Chromatography/Mass Spectrometry/Mass Spectrometry (GC/MS/MS)

2002 ◽  
Vol 47 (4) ◽  
pp. 15446J ◽  
Author(s):  
Betty-Jayne de Vos ◽  
Mark Froneman ◽  
Egmont Rohwer ◽  
Dale A. Sutherland
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Gas Chromatography Mass Spectrometry ◽  
Chromatography Mass Spectrometry ◽  
Fire Debris ◽  
In Fire ◽  
Mass Spectrometry Mass Spectrometry

scholarly journals Modern Instrumental Limits of Identification of Ignitable Liquids in Forensic Fire Debris Analysis

Separations ◽  
2018 ◽  
Vol 5 (4) ◽  
pp. 58 ◽  
Author(s):  
Robin Abel ◽  
Grzegorz Zadora ◽  
P. Sandercock ◽  
James Harynuk
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Gas Chromatography Mass Spectrometry ◽  
Correct Identification ◽  
Instrumental Performance ◽  
Chromatography Mass Spectrometry ◽  
Ignitable Liquids ◽  
Fire Debris ◽  
Fire Debris Analysis ◽  
In Fire

Forensic fire debris analysis is an important part of fire investigation, and gas chromatography–mass spectrometry (GC-MS) is the accepted standard for detection of ignitable liquids in fire debris. While GC-MS is the dominant technique, comprehensive two-dimensional gas chromatography–mass spectrometry (GC×GC-MS) is gaining popularity. Despite the broad use of these techniques, their sensitivities are poorly characterized for petroleum-based ignitable liquids. Accordingly, we explored the limit of identification (LOI) using the protocols currently applied in accredited forensic labs for two 75% evaporated gasolines and a 25% evaporated diesel as both neat samples and in the presence of interfering pyrolysate typical of fire debris. GC-MSD (mass selective detector (MS)), GC-TOF (time-of-flight (MS)), and GC×GC-TOF were evaluated under matched conditions to determine the volume of ignitable liquid required on-column for correct identification by three experienced forensic examiners performing chromatographic interpretation in accordance with ASTM E1618-14. GC-MSD provided LOIs of ~0.6 pL on-column for both neat gasolines, and ~12.5 pL on-column for neat diesel. In the presence of pyrolysate, the gasoline LOIs increased to ~6.2 pL on-column, while diesel could not be correctly identified at the concentrations tested. For the neat dilutions, GC-TOF generally provided 2× better sensitivity over GC-MSD, while GC×GC-TOF generally resulted in 10× better sensitivity over GC-MSD. In the presence of pyrolysate, GC-TOF was generally equivalent to GC-MSD, while GC×GC-TOF continued to show 10× greater sensitivity relative to GC-MSD. Our findings demonstrate the superior sensitivity of GC×GC-TOF and provide an important approach for interlaboratory benchmarking of modern instrumental performance in fire debris analysis.

scholarly journals Screening Carpet Substrate Interferences in Arson Identification by Solid Phase Microextraction and Gas Chromatography-Mass Spectrometry

Separations ◽  
2020 ◽  
Vol 7 (4) ◽  
pp. 63
Author(s):  
Alyssa Aldrich ◽  
Edna Gennarino-Lopez ◽  
Gabriel Odugbesi ◽  
Kaylandra Woodside ◽  
Shokouh Haddadi
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Solid Phase Microextraction ◽  
Solid Phase ◽  
Gas Chromatography Mass Spectrometry ◽  
Characteristic Class ◽  
Pyrolysis Products ◽  
Chromatography Mass Spectrometry ◽  
Fire Debris ◽  
Fire Debris Analysis

The sample analysis and data interpretation is the most challenging step of fire debris analysis, due to the presence of combustion and pyrolysis products in the substrate material. In this study, a headspace solid phase microextraction (HS-SPME) procedure was applied to the extraction of combustion and pyrolysis products from three commonly used carpet substrate materials, made of nylon 6,6 and polyesters. Each carpet sample was burned with and without two different ignitable liquids (ILs), i.e., gasoline and kerosene, and the Total Ion Chromatograms (TICs) and Extracted Ion Profiles of characteristic class compounds of ILs were obtained and compared to those of unburned neat ILs, using gas-chromatography mass spectrometry (GC-MS), to study the possible interferences of these substrate materials in fire debris analysis.

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