Optimized HSSE-GC-MS and machine learning for forensic gender classification of human scent from clothing.

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Bibliographic Details
Title: Optimized HSSE-GC-MS and machine learning for forensic gender classification of human scent from clothing.
Authors: Mateo JMC; Department of Analytical Chemistry, Faculty of Sciences, University of Cádiz, Agri-food Campus of International Excellence (ceiA3), IVAGRO, 11510, Puerto Real, Cádiz, Spain; Institute of Legal Medicine, University Hospital Frankfurt am Main, Goethe-University, Kennedyallee 104, D-60596, Frankfurt am Main, Germany., Calle JLP; Department of Analytical Chemistry, Faculty of Sciences, University of Cádiz, Agri-food Campus of International Excellence (ceiA3), IVAGRO, 11510, Puerto Real, Cádiz, Spain., Durán-Guerrero E; Department of Analytical Chemistry, Faculty of Sciences, University of Cádiz, Agri-food Campus of International Excellence (ceiA3), IVAGRO, 11510, Puerto Real, Cádiz, Spain. Electronic address: enrique.duranguerrero@uca.es., Palma M; Department of Analytical Chemistry, Faculty of Sciences, University of Cádiz, Agri-food Campus of International Excellence (ceiA3), IVAGRO, 11510, Puerto Real, Cádiz, Spain., Ferreiro-González M; Department of Analytical Chemistry, Faculty of Sciences, University of Cádiz, Agri-food Campus of International Excellence (ceiA3), IVAGRO, 11510, Puerto Real, Cádiz, Spain.
Source: Analytica chimica acta [Anal Chim Acta] 2026 May 22; Vol. 1400, pp. 345337. Date of Electronic Publication: 2026 Mar 04.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0370534 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-4324 (Electronic) Linking ISSN: 00032670 NLM ISO Abbreviation: Anal Chim Acta Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-4324
DOI:10.1016/j.aca.2026.345337