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Preliminary quantitative investigation of postmortem adipocere formation
F Yan1, R McNally, E J Kontanis
1Department of Chemistry, State University of New York at Binghamton, 13902-6016, USA.
Journal of Forensic Sciences
|May 25, 2001
Summary
Determining the time of death using adipocere formation is challenging. This study introduces a quantitative liquid chromatography method to estimate postmortem interval (PMI) by analyzing fatty acid changes during adipocere development.
Area of Science:
- Forensic Science
- Biochemistry
- Analytical Chemistry
Background:
- Accurate postmortem interval (PMI) determination is crucial in forensic science.
- Current methods for PMI estimation are often qualitative and focus on later degradation stages.
- Adipocere formation, a postmortem process, presents a potential but challenging avenue for PMI analysis.
Purpose of the Study:
- To develop a quantitative method for determining PMI based on adipocere formation.
- To investigate the chemical changes during adipocere development using liquid chromatography.
- To explore the influence of different water environments on adipocere formation kinetics.
Main Methods:
- An experimental model using three pig cadavers submerged in distilled, chlorinated, and saline water.
- Collection of subcutaneous fat specimens at two-week intervals over ten weeks.
- Quantitative analysis of hydrolyzed fatty acids and hydroxystearic/oxostearic acids using liquid chromatography.
Main Results:
- A quantitative analytical method was developed by correlating fatty acid disappearance with adipocere acid formation.
- Adipocere formation begins within hours of death and continues for several weeks.
- Distinct time courses of adipocere formation were observed in different water conditions.
Conclusions:
- The developed liquid chromatography method offers a potential quantitative approach to PMI determination.
- Adipocere formation chemistry provides insights into early postmortem degradation.
- Further research is needed to fully address the challenges of PMI estimation using adipocere.

