RT journal article
T1 Application of headspace gas chromatography-ion mobility spectrometry for the determination of ignitable liquids from fire debris
A1 Aliaño González, María Jesús
A1 Ferreiro González, Marta
A1 Fernández Barbero, Gerardo
A1 Palma Lovillo, Miguel
A1 García Barroso, Carmelo
A2 Química Analítica
K1 headspace gas chromatography-ion mobility spectrometry
K1 ignitable liquid residues
K1 fire debris
K1 multivariate analyses
K1 total ion current chromatogram
AB A fast and correct identification of ignitable liquid residues in fire debris investigationis of high importance in forensic research. Advanced fast analytical methods combined withchemometric tools are usually applied for these purposes. In the present study, the Headspace GasChromatography-Ion Mobility Spectrometry (HS-GC-IMS) combined with chemometrics is proposedas a promising technique for the identification of ignitable liquid residues in fire debris samples. Firedebris samples were created in the laboratory, according to the Destructive Distillation Method forBurning that is provided by the Bureau of Forensic Fire and Explosives. Four different substrates(pine wood, cork, paper, and cotton sheet) and four ignitable liquids of dissimilar composition(gasoline, diesel, ethanol, and paraffin) were used to create the fire debris. The Total Ion Current (TIC)Chromatogram combined with different chemometric tools (hierarchical cluster analysis and lineardiscriminant analysis) allowed for a full discrimination between samples that were burned withand without ignitable liquids. Additionally, a good identification (95% correct discrimination)for the specific ignitable liquid residues in the samples was achieved. Based on these results,the chromatographic data from HS-GC-IMS have been demonstrated to be very useful for theidentification and discrimination of ignitable liquids residues. The main advantages of this approachvs. traditional methodology are that no sample manipulation or solvent is required; it is also faster,cheaper, and easy to use for routine analyses.
PB MDPI
SN 2297-8739
YR 2018
FD 2018
LK http://hdl.handle.net/10498/33082
UL http://hdl.handle.net/10498/33082
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 07-nov-2026