Abstract
Asphyxial death is a leading cause of violent death, strangulation is more frequently seen in murder and domestic abuse cases, while drowning is one of the most common causes of accidental death. Therefore, studies on these two causes of death are beneficial to ensuring the administration of justice and increasing detection rate of criminal cases. This study investigated the viability of ATR-FTIR spectroscopy as a method for distinguishing between strangulation and drowning in autolysis and putrefaction cadavers of forensic cases. Utilizing C57BL/6 mice death models, lung tissue samples were analyzed post-mortem using ATR-FTIR spectroscopy, alongside traditional histological methods such as Hematoxylin and Eosin (HE) staining. Principal Component Analysis (PCA) and Partial Least Squares Discriminant Analysis (PLSDA) were employed to enhance the spectral data interpretation, demonstrating high accuracy in distinguishing between the two causes of death. The PLSDA model showed a 100 % accuracy in external validations for strangulation and drowning cause of death identification, highlighting the potential of ATR-FTIR spectroscopy combined with machine learning algorithms in forensic applications. The results revealed distinct biochemical signatures for strangulation and drowning, with significant changes observed in the spectral peaks associated with Amide band, protein secondary structures and nucleic acids. The integration of ATR-FTIR spectroscopy provides a non-destructive, rapid, and reliable method for forensic investigators, especially when traditional autopsy results are inconclusive due to autolysis and putrefaction. The study emphasizes how crucial it is to combine ATR-FTIR spectroscopic with histopathological examination and chemometrics to increase the precision and dependability of forensic investigations and support the administration of justice.
| Original language | English |
|---|---|
| Article number | 101257 |
| Journal | Science and Justice |
| Volume | 65 |
| Issue number | 3 |
| DOIs | |
| State | Published - May 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 16 Peace, Justice and Strong Institutions
Keywords
- Asphyxiation
- Chemometrics
- Drowning
- Evanescent Trauma
- Strangulation
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