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Interpolation function estimates post mortem interval under ambient temperature correlating with blood ATP level.

Tingyi Sun1, Tiantong Yang2, Haidong Zhang2

  • 1Department of Forensic Medicine, Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430030, China.

Forensic Science International
|March 20, 2014
PubMed
Summary

This study developed a mathematical model to estimate post mortem interval (PMI) using blood ATP levels in rabbits. The interpolation function effectively estimates PMI while minimizing the impact of ambient temperature.

Keywords:
Adenosine triphosphateForensic pathologyForensic scienceInterpolation functionPost mortem interval

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Area of Science:

  • Forensic Science
  • Biochemistry
  • Mathematical Modeling

Background:

  • Accurate post mortem interval (PMI) estimation is crucial in forensic investigations.
  • Ambient temperature significantly influences the rate of biological degradation, complicating PMI determination.
  • Adenosine triphosphate (ATP) levels degrade post mortem, offering a potential biomarker for time since death.

Purpose of the Study:

  • To develop and validate a mathematical model for estimating PMI based on blood ATP degradation.
  • To characterize the correlation between blood ATP levels and PMI across various ambient temperatures.
  • To establish an interpolation function that accounts for temperature variations in PMI estimation.

Main Methods:

  • Forty-eight rabbits were allocated into six groups and maintained at temperatures ranging from 10°C to 35°C.
  • Blood samples were collected from the right ventricle every 4 hours up to 72 hours post mortem.
  • Adenosine triphosphate (ATP) concentrations were measured using an ATP fluorescence rapid detector, and statistical analyses were performed using SPSS and MATLAB.

Main Results:

  • Six regression equations were derived, showing strong correlations (R²=0.887-0.929) between ATP levels and PMI at different temperatures.
  • An interpolation function was established with a high coefficient of determination (R²=0.930), using ATP levels and temperature to predict PMI.
  • The model demonstrated the ability to estimate PMI across a range of temperatures.

Conclusions:

  • An interpolation function provides a robust method for estimating post mortem interval (PMI).
  • This approach effectively minimizes the confounding influence of ambient temperature on ATP degradation.
  • The developed model offers a promising tool for more accurate PMI determination in forensic science.