Characterizing drip patterns in bloodstain pattern analysis: An investigation of the influence of droplet impact velocity and number of droplets on static pattern features.

Bloodstain pattern analysis Drip pattern Forensic science Parent stain size Satellite spatter Stain distribution

Journal

Forensic science international
ISSN: 1872-6283
Titre abrégé: Forensic Sci Int
Pays: Ireland
ID NLM: 7902034

Informations de publication

Date de publication:
Aug 2019
Historique:
received: 12 10 2018
revised: 01 05 2019
accepted: 02 05 2019
pubmed: 28 5 2019
medline: 17 7 2019
entrez: 26 5 2019
Statut: ppublish

Résumé

This work characterizes fundamental features of static drip patterns simulated for forensic bloodstain pattern analysis. The purpose of this study was to determine if and how two independent variables, impact velocity and droplet number, influence the parent stain size, shape and satellite spatter distribution of drip patterns created with whole ovine blood. To do this, 500 drip patterns were created in a controlled environment at five varying impact velocities and ten different droplet numbers on a hard paper surface. Digital images of the dried patterns were processed and analyzed using Fiji (ImageJ). The data collected from each pattern support the hypotheses that drip patterns contain predictable and reproducible elements based on impact velocity and droplet number. Basic fluid dynamic principles demonstrate that the size of the parent stains, as well as the number and distribution of satellite stains increase with increasing Weber number. A decrease in the circularity of the parent stains was also noted. This study provides fundamental qualitative and quantitative data on observable elements of drip patterns that can be used practically by bloodstain pattern analysts for pattern identification and classification.

Identifiants

pubmed: 31128409
pii: S0379-0738(18)30893-4
doi: 10.1016/j.forsciint.2019.05.002
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

55-66

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Kristine Boos (K)

Trent University, 1600 West Bank Drive, Peterborough, ON, Canada.

Amanda Orr (A)

Environmental and Life Sciences, 1600 West Bank Drive, Trent University, Peterborough, ON, Canada. Electronic address: amandaorr@trentu.ca.

Mike Illes (M)

Forensic Science Department, 1600 West Bank Drive, Trent University, Peterborough, ON, Canada.

Theresa Stotesbury (T)

Forensic Science Department, 1600 West Bank Drive, Trent University, Peterborough, ON, Canada; Chemistry Department, 1600 West Bank Drive, Trent University, Peterborough, ON, Canada.

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Classifications MeSH