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Open AccessFeature PaperArticle

Application of Self-Organizing Maps to the Analysis of Ignitable Liquid and Substrate Pyrolysis Samples

1
Department of Chemistry, University of Central Florida, P.O. Box 162367, Orlando, FL 32816-2366, USA
2
National Center for Forensic Science, University of Central Florida, P.O. Box 162367, Orlando, FL 32816-2367, USA
*
Author to whom correspondence should be addressed.
Separations 2018, 5(4), 52; https://doi.org/10.3390/separations5040052
Received: 3 October 2018 / Revised: 23 October 2018 / Accepted: 24 October 2018 / Published: 31 October 2018
(This article belongs to the Special Issue Advances in Fire Debris Analysis)
Classification of un-weathered ignitable liquids is a problem that is currently addressed by visual pattern recognition under the guidelines of Standard Test Method for Ignitable Liquid Residues in Extracts from Fire Debris Samples by Gas Chromatography-Mass Spectrometry, ASTM E1618-14. This standard method does not separately address the identification of substrate pyrolysis patterns. This report details the use of a Kohonen self-organizing map coupled with extracted ion spectra to organize ignitable liquids and substrate pyrolysis samples on a two-dimensional map with groupings that correspond to the ASTM-classifications and separate the substrate pyrolysis samples from the ignitable liquids. The component planes give important information regarding the ions from the extracted ion spectra that contribute to the different classes. Some additional insight is gained into grouping of substrate pyrolysis samples based on the nature of the unburned material as a wood or non-wood material. Further subclassification was not apparent from the self-organizing maps (SOM) results. View Full-Text
Keywords: fire debris; Kohonen networks; self-organizing maps; arson fire debris; Kohonen networks; self-organizing maps; arson
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MDPI and ACS Style

Thurn, N.; Williams, M.R.; Sigman, M.E. Application of Self-Organizing Maps to the Analysis of Ignitable Liquid and Substrate Pyrolysis Samples. Separations 2018, 5, 52.

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