Literature DB >> 29784417

The use of LA-ICP-MS databases to calculate likelihood ratios for the forensic analysis of glass evidence.

Ruthmara Corzo1, Tricia Hoffman1, Peter Weis2, Javier Franco-Pedroso3, Daniel Ramos3, Jose Almirall4.   

Abstract

Laser Ablation-Inductively Coupled Plasma-Mass Spectrometry (LA-ICP-MS) has been shown to be an excellent technique for the discrimination of glass originating from different sources and for the association of glass originating from the same source. Typically, a match criterion is used to compare the elemental profile of the known sample to a questioned sample and if the glass samples are determined to "match" this may be followed by the use of a verbal scale to report the forensic practitioner's conclusion. This approach has several disadvantages: a fixed match criterion suffers from the "fall-off-the-cliff effect," the rarity of an elemental profile is not taken into account, and the use of a verbal scale to assign a weight of evidence may be considered as subjective and can vary by examiner. An alternative approach includes the use of a continuous likelihood ratio that provides a quantitative measure of the value of the evidence in support of any hypothesis and accounts for the rarity of an elemental profile through the use of a glass database. In the present study, two glass databases were used to evaluate the performance of the likelihood ratio; the first database includes 420 automotive windshield samples, while the second database includes 385 glass samples from casework. The multivariate kernel model was used for the calculation of the likelihood ratio. However, this model led to unreasonably large (or small) likelihood ratios. Thus, a calibration step, using the Pool Adjacent Violators (PAV) algorithm, was necessary in order to limit the likelihood ratio to reasonable values. The calibrated likelihood ratio presented rates of misleading evidence of <1.5% (for LRs<1 when objects came from the same source), and of <1.0% (for LRs>1 when objects came from different sources), which improved over the analogous ASTM false inclusion and false exclusion rates previously reported. In addition, the likelihood ratio limited the magnitude of the misleading evidence, providing only weak to moderate support for the incorrect hypothesis. Finally, most of the pairs found to present LR>1 when objects originated from different sources were explained by similarity of manufacturer of the glass source.
Copyright © 2018 Elsevier B.V. All rights reserved.

Keywords:  Forensic evidence interpretation; Glass database; LA-ICP-MS; Likelihood ratio

Year:  2018        PMID: 29784417     DOI: 10.1016/j.talanta.2018.02.027

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  5 in total

1.  Determination of seventeen major and trace elements in new float glass standards for use in forensic comparisons using laser ablation inductively coupled plasma mass spectrometry.

Authors:  José Almirall; Anuradha Akmeemana; Katelyn Lambert; Ping Jiang; Ela Bakowska; Ruthmara Corzo; Claudia Martinez Lopez; Edward Chip Pollock; Katrin Prasch; Tatiana Trejos; Peter Weis; Wim Wiarda; Huifang Xie; Peter Zoon
Journal:  Spectrochim Acta Part B At Spectrosc       Date:  2021-05       Impact factor: 3.752

2.  An interlaboratory study evaluating the interpretation of forensic glass evidence using refractive index measurements and elemental composition.

Authors:  Ruthmara Corzo; Tricia Hoffman; Troy Ernst; Tatiana Trejos; Ted Berman; Sally Coulson; Peter Weis; Aleksandra Stryjnik; Hendrik Dorn; Edward Chip Pollock; Michael Scott Workman; Patrick Jones; Brendan Nytes; Thomas Scholz; Huifang Xie; Katherine Igowsky; Randall Nelson; Kris Gates; Jhanis Gonzalez; Lisa-Mareen Voss; Jose Almirall
Journal:  Forensic Chem       Date:  2021-03

3.  Deconstructing Cross-Entropy for Probabilistic Binary Classifiers.

Authors:  Daniel Ramos; Javier Franco-Pedroso; Alicia Lozano-Diez; Joaquin Gonzalez-Rodriguez
Journal:  Entropy (Basel)       Date:  2018-03-20       Impact factor: 2.524

Review 4.  Interpol review of glass and paint evidence 2016-2019.

Authors:  Jose Almirall; Tatiana Trejos; Katelyn Lambert
Journal:  Forensic Sci Int       Date:  2020-03-19       Impact factor: 2.395

5.  In the context of forensic casework, are there meaningful metrics of the degree of calibration?

Authors:  Geoffrey Stewart Morrison
Journal:  Forensic Sci Int Synerg       Date:  2021-06-12
  5 in total

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