Optimized HSSE-GC-MS and machine learning for forensic gender classification of human scent from clothing
This integrated approach, combining optimized stir bar HSSE-GC-MS with different machine learning algorithms using the TIS untargeted approach, provides a fast and automatic gender classification from human scent traces on clothes that can be used as a rapid screening technique in forensic investigations to narrow down suspect or victim profiles.
Authors
- John Marty Mateo (ORCID: https://orcid.org/0000-0002-8988-6068)
- M. Ferreiro-González
- Enrique Durán (ORCID: https://orcid.org/0000-0003-2073-3394)
- José Luis P. Calle
- Miguel Palma
Institutions
- Goethe University Frankfurt (DE)
- Universidad de Cádiz (ES)
Publication Details
- Journal
- Analytica Chimica Acta
- Published
- 2026-03-04
- DOI
- https://doi.org/10.1016/j.aca.2026.345337
- Primary Topic
- Forensic and Genetic Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00