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Neuronal Nuclei Isolation from Human Postmortem Brain Tissue
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Trimethylamine in postmortem tissues as a predictor of postmortem interval estimation using the GC method.

Weichen Li1, Yunfeng Chang1, Leiming Han1

  • 1Department of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha, Hunan 410013, China.

Legal Medicine (Tokyo, Japan)
|October 7, 2018
PubMed
Summary

Trimethylamine (TMA) analysis in rat tissues using headspace gas chromatography (HS-GC) aids postmortem interval (PMI) estimation. TMA levels correlate with decomposition, offering a new forensic tool.

Keywords:
Cadaver decompositionHeadspace gas-chromatography methodHuman samplesPostmortem interval estimationTrimethylamine determination

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Area of Science:

  • Forensic Science
  • Analytical Chemistry
  • Biochemistry

Background:

  • Trimethylamine (TMA) is a volatile compound indicating meat spoilage and is linked to the postmortem interval (PMI).
  • Accurate PMI estimation is crucial in forensic investigations.

Purpose of the Study:

  • To develop and validate a headspace gas chromatography (HS-GC) method for quantifying TMA in postmortem rat tissues.
  • To establish the relationship between TMA content and PMI over an extended period (0-720 hours).
  • To assess the applicability of TMA analysis for PMI estimation in human samples.

Main Methods:

  • A headspace gas chromatography (HS-GC) method was established to analyze TMA content.
  • TMA levels were measured in postmortem rat liver, myocardial, and skeletal muscle tissues at 16°C ± 1°C.
  • TMA content was analyzed in five human postmortem samples.

Main Results:

  • The study established three equations correlating TMA content with PMI in rat tissues.
  • TMA levels increased up to 192 hours postmortem and decreased after 384 hours in rat tissues.
  • TMA trends in human samples (<35 hours PMI) showed good agreement with rat data, supporting the method's potential.

Conclusions:

  • The developed HS-GC method effectively quantifies TMA in postmortem tissues for PMI estimation.
  • TMA content exhibits a distinct pattern during decomposition, useful for forensic analysis.
  • This research suggests HS-GC combined with TMA determination is a promising approach for forensic scientists to estimate PMI.