In this work, we present an innovative scent-based detection system able to rapidly detect and correctly classify unique odor signatures released by biological materials from deceased humans as a revolution- izing form of forensic evidence. Our device, equipped with 32 metal oxide semiconductor (MOS) chemiresistive sensor elements and integrated with machine learning algorithms, was applied to differ- ent scenarios, demonstrating the potential of its application in forensic investigations.

Machine Learning-Enhanced Odor Detection System as Next-Generation Forensic Technology

Emanuela Tavaglione;Barbara Fabbri;
2025

Abstract

In this work, we present an innovative scent-based detection system able to rapidly detect and correctly classify unique odor signatures released by biological materials from deceased humans as a revolution- izing form of forensic evidence. Our device, equipped with 32 metal oxide semiconductor (MOS) chemiresistive sensor elements and integrated with machine learning algorithms, was applied to differ- ent scenarios, demonstrating the potential of its application in forensic investigations.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2610010
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