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Breaking with trends in forensic dating: A likelihood ratio-based comparison approach.
- Source :
-
Forensic science international [Forensic Sci Int] 2023 Aug; Vol. 349, pp. 111763. Date of Electronic Publication: 2023 Jun 14. - Publication Year :
- 2023
-
Abstract
- Further steps toward understanding the time-related information contained within bloodstains found at the crime scene are rightly considered a top priority in forensic science. Contrary to widely held assumptions, the reason for the delayed exploitation of bloodstains dating methods in practice is not the lack of suitable analytical techniques for monitoring degradation processes. The problem lies in the variability of the environmental and circumstantial conditions, playing a vital role in the degradation kinetics of blood deposits. The present article demonstrates the possibility of breaking with current approaches based on absolute age estimations to finally answer time-centered questions in real forensic scenarios. The proposed novel framework for situating forensic traces in time is based on the likelihood ratio assessment of the (dis)similarity between the evidence decomposition and sets of reference materials obtained through supervised aging. In such a strategy, every dating procedure is constructed on a case-by-case basis to fit examined blood traces, thereby limiting the adverse influence of external factors on the validity of age estimations and providing a way for future crime scene implementation.<br />Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2023 Elsevier B.V. All rights reserved.)
- Subjects :
- Forensic Sciences methods
Time Factors
Crime
Forensic Medicine methods
Blood Stains
Subjects
Details
- Language :
- English
- ISSN :
- 1872-6283
- Volume :
- 349
- Database :
- MEDLINE
- Journal :
- Forensic science international
- Publication Type :
- Academic Journal
- Accession number :
- 37356322
- Full Text :
- https://doi.org/10.1016/j.forsciint.2023.111763