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Implementation of SPME and Rapid GC-MS as a Screening Approach for Forensic Fire Debris Applications

Published

Author(s)

Briana Capistran

Abstract

Analysis of ignitable liquids in fire debris samples can be a time-consuming process, from extraction of volatile compounds to instrumental analysis. Rapid gas chromatography-mass spectrometry (GC-MS) is a screening technique that can be utilized prior to confirmatory GC-MS analysis to provide an informative screening approach and possibly reduce the need to further analyze negative samples. Though rapid GC-MS is fast (less than two minutes), extraction techniques such as passive headspace extraction remain a bottleneck for decreasing overall workflow times. In this work, solid phase microextraction (SPME) was implemented with rapid GC-MS for ignitable liquid analysis for a faster, more sensitive screening approach compared to extraction with passive headspace. Using optimized inlet conditions, limits of detection as low as 27 ng/mL per compound were achieved. Gasoline and diesel fuel were extracted and analyzed, and major compounds in each liquid were identified in the resulting chromatograms. Extracted ion profiles (EIPs) and deconvolution methods were useful for additional compound identifications. Lastly, the SPME-rapid GC-MS workflow was extended to the analysis of gasoline and diesel fuel in mock burn samples using carpet and wood substrates. From SPME sample extraction to rapid GC-MS instrumental analysis and data processing, the total workflow for a single sample was reduced to under 20 min. These results indicate that SPME is a suitable injection technique for rapid GC-MS to provide a fast and sensitive screening approach for fire debris applications.
Citation
Forensic Chemistry
Volume
38

Keywords

Solid phase microextraction, Rapid GC-MS, Screening, Ignitable liquids, Fire Debris, Forensic science

Citation

Capistran, B. (2024), Implementation of SPME and Rapid GC-MS as a Screening Approach for Forensic Fire Debris Applications, Forensic Chemistry, [online], https://doi.org/10.1016/j.forc.2024.100562, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=956367 (Accessed April 23, 2024)
Created February 19, 2024, Updated February 23, 2024