Title

Progress Toward The Determination Of Correct Classification Rates In Fire Debris Analysis Ii: Utilizing Soft Independent Modeling Of Class Analogy (Simca)

Keywords

Chemometrics; Fire debris; Forensic science; Gas chromatography-mass spectrometry; Multivariate statistics; Soft independent modeling of class analogy

Abstract

A multistep classification scheme was used to detect and classify ignitable liquid residues in fire debris into the classes defined by the ASTM E1618-10 standard method. The total ion spectra (TIS) of the samples were classified by soft independent modeling of class analogy (SIMCA) with cross-validation and tested on fire debris. For detection of ignitable liquid residue, the true-positive rate was 94.2% for cross-validation and 79.1% for fire debris, with false-positive rates of 5.1% and 8.9%, respectively. Evaluation of SIMCA classifications for fire debris relative to a reviewer's examination led to an increase in the true-positive rate to 95.1%; however, the false-positive rate also increased to 15.0%. The correct classification rates for assigning ignitable liquid residues into ASTM E1618-10 classes were generally in the range of 80-90%, with the exception of gasoline samples, which were incorrectly classified as aromatic solvents following evaporative weathering in fire debris. © 2014 American Academy of Forensic Sciences.

Publication Date

1-1-2014

Publication Title

Journal of Forensic Sciences

Volume

59

Issue

4

Number of Pages

927-935

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1111/1556-4029.12417

Socpus ID

84903451229 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84903451229

This document is currently not available here.

Share

COinS