A novel method for assessing postmortem interval using radon radioisotopic decay – an internal radon ‘time of death clock’

Estimating the postmortem interval (PMI)-the time since death-remains a longstanding challenge in forensic and biological sciences due to the complex influence of environmental and physiological variables. Here, we present a novel computational framework that leverages the physical principles of radioactive decay to estimate PMI using the relative isotope abundances of radon progeny ([Formula: see text], [Formula: see text], and [Formula: see text]) in biological tissue. Our approach models the decay chain of inhaled [Formula: see text] and solves the associated system of differential equations to determine PMI based on isotope ratio dynamics. A key innovation is the use of paired measurements taken at two postmortem time points to capture the time-derivative of the decay curve, enhancing solution uniqueness, reducing dependence on prior exposure history, therefore minimizing error. Monte Carlo simulations were employed to assess model performance. If validated empirically, this approach lays the groundwork for a physics-based method for PMI estimation with potential applications in forensic science and radiation biology.

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Publication Details

Journal
Scientific Reports
Published
2025-08-09
DOI
https://doi.org/10.1038/s41598-025-15168-5
Primary Topic
Forensic Entomology and Diptera Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

A novel method for assessing postmortem interval using radon radioisotopic decay – an internal radon ‘time of death clock’

Behnam Ashrafkhani, Martin Tondel, Fredrik Tamsen, Michael E. Wieser et al.
Scientific Reports
Forensic Entomology and Diptera Studies
article

A novel method for assessing postmortem interval using radon radioisotopic decay – an internal radon ‘time of death clock’

Behnam Ashrafkhani, Martin Tondel, Fredrik Tamsen, Michael E. Wieser, Armin Tabesh, R. I. Thompson, Aaron A. Goodarzi
article en

Abstract

Estimating the postmortem interval (PMI)-the time since death-remains a longstanding challenge in forensic and biological sciences due to the complex influence of environmental and physiological variables. Here, we present a novel computational framework that leverages the physical principles of radioactive decay to estimate PMI using the relative isotope abundances of radon progeny ([Formula: see text], [Formula: see text], and [Formula: see text]) in biological tissue. Our approach models the decay chain of inhaled [Formula: see text] and solves the associated system of differential equations to determine PMI based on isotope ratio dynamics. A key innovation is the use of paired measurements taken at two postmortem time points to capture the time-derivative of the decay curve, enhancing solution uniqueness, reducing dependence on prior exposure history, therefore minimizing error. Monte Carlo simulations were employed to assess model performance. If validated empirically, this approach lays the groundwork for a physics-based method for PMI estimation with potential applications in forensic science and radiation biology.

Scientific ReportsVol. 15(1)
Uppsala University (SE), Uppsala University Hospital (SE), University of Calgary (CA), Swedish National Board of Forensic Medicine (SE), Department of Medical Sciences (RU)
Government of Alberta, Alberta Cancer Foundation, Canada Foundation for Innovation, Ministry of Economic Development and Trade, Government of Alberta, Natural Sciences and Engineering Research Council of Canada
Industry, innovation and infrastructure
Openalex Percentile: Top 82%
Forensic Entomology and Diptera Studies
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