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Chemometric software for the automated detection of ignitable liquids in casework fire debris, ongoing developments
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Journal of Forensic Research

ISSN: 2157-7145

Open Access

Chemometric software for the automated detection of ignitable liquids in casework fire debris, ongoing developments


4th International Conference on Forensic Research & Technology

September 28-30, 2015 Atlanta, USA

James J Harynuk

University of Alberta, Canada

Posters-Accepted Abstracts: J Forensic Res

Abstract :

Ongoing research in our group is focused on the development of tools for the rapid, automated identification of ignitable liquids in fire debris. We have previously demonstrated the automated classification of simulated and casework debris samples on the basis of gasoline content. Herein we present current research into the development of a suitable method to simulate fire debris to generate a background matrix that is suitable for the training of chemometric models for ignitable liquids other than gasoline. The simulation method is based on batch pyrolysis of materials under controlled temperatures and atmospheres in a tube furnace. Apart from hopefully generating a more realistic debris matrix without resorting to more expensive options such as the use of large burn cells, this method is also shedding light on the combustion/pyrolysis chemistry of household materials. We are also presenting a prototype classification software client for forensic laboratories developed in collaboration with the Royal Canadian Mounted Police. The software client provides a simple user interface for loading GCMS data files performing chromatographic alignment and application of models to identify ignitable liquid signatures in the data. The software then reports what (if any) ignitable liquids were found in the debris along with a probability score for the identification and QA/QC reports for the alignment and data quality.

Biography :

Email: james.harynuk@ualberta.ca

Google Scholar citation report
Citations: 1817

Journal of Forensic Research received 1817 citations as per Google Scholar report

Journal of Forensic Research peer review process verified at publons

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