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Development of a quantitatively controlled expirated bloodstain generation system using an anatomically-informed oral
Kyung-Min Lee1, Ki-Jong Rhee2, Young-Il Seo3
1Department of Forensic Sciences, Yonsei University, Wonju 26493, Republic of Korea.
Forensic Science International
|September 14, 2025
Summary
A novel system generates expirated bloodstains using 3D oral models and controlled airflow, improving forensic analysis. This method offers a safe, reproducible, and quantifiable approach for training and creating datasets for automated bloodstain classification.
Area of Science:
- Forensic Science
- Biomechanical Engineering
- Fluid Dynamics
Background:
- Expirated bloodstains, crucial in forensic investigations, are challenging to reproduce due to limitations in current methods.
- Misinterpretation of expirated stains as impact or cast-off patterns is a significant forensic concern.
- Existing reproduction techniques lack reproducibility, biosafety, and quantitative control.
Purpose of the Study:
- To develop and validate a novel system for generating expirated bloodstains under controlled airflow conditions.
- To address the limitations of conventional methods in expirated bloodstain reproduction.
- To create a tool for enhanced forensic training and automated bloodstain classification.
Main Methods:
- Integration of anatomically informed 3D-printed oral models simulating blowing and coughing.
- Utilization of a calibrated airflow control unit for precise modulation of air velocity and oral opening.
- Formulation of artificial blood with rheological properties matching human blood for consistent stain generation.
Main Results:
- The developed system successfully generated distinct expirated bloodstain patterns under controlled conditions.
- Morphological analysis quantified stain area, impact angle, and orientation, confirming pattern differentiation.
- The system demonstrated high reproducibility and quantitative control over stain generation.
Conclusions:
- The novel system provides a safe, reproducible, and quantifiable method for generating expirated bloodstains.
- This technology offers significant utility for forensic training and educational purposes.
- The generated datasets are valuable for developing machine learning and deep learning models for automated bloodstain classification.

