Literature DB >> 32873384

A method for forensic gasoline comparison in fire debris samples: A numerical likelihood ratio system.

P Vergeer1, J N Hendrikse2, M M P Grutters2, L J C Peschier2.   

Abstract

In many arson cases gasoline is used as a means to start the fire. In this paper results are presented for a likelihood-ratio (LR) system aimed at comparing gasoline traces from fire debris to a reference gasoline. The LR-system is able to deal with disturbing effects caused by burning and exposure to surroundings: pyrolysis products, preferential adsorption and evaporation. This paper focusses on the criminalistic and statistical aspects of the design of the LR-system, and presents results on performance of the LR-system. The details of trace gasoline recovery from fire debris will be presented in an accompanying paper. Validation and performance measures show that this system gives well-calibrated LRs for comparisons involving trace samples with a spread in quantity of gasoline, evaporation levels, and matrices that are typically encountered in casework. Rates of misleading evidence are less than 3.5%. We conclude that, despite limitations in experimental design, this LR-system can be useful to the comparison of gasoline profiles in casework practice.
Copyright © 2020 The Chartered Society of Forensic Sciences. Published by Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2020        PMID: 32873384     DOI: 10.1016/j.scijus.2020.06.002

Source DB:  PubMed          Journal:  Sci Justice        ISSN: 1355-0306            Impact factor:   2.124


  1 in total

1.  A strawman with machine learning for a brain: A response to Biedermann (2022) the strange persistence of (source) "identification" claims in forensic literature.

Authors:  Geoffrey Stewart Morrison; Daniel Ramos; Rolf Jf Ypma; Nabanita Basu; Kim de Bie; Ewald Enzinger; Zeno Geradts; Didier Meuwly; David van der Vloed; Peter Vergeer; Philip Weber
Journal:  Forensic Sci Int Synerg       Date:  2022-05-06
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.