Estimating bloodstain age using headspace gas chromatography-ion mobility spectrometry (HS-GC-IMS) and machine learning.

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Title: Estimating bloodstain age using headspace gas chromatography-ion mobility spectrometry (HS-GC-IMS) and machine learning.
Authors: Guo M; Provincial Characteristic Laboratory of Forensic Science, Shandong University of Political Science and Law, 65 JieFang East Road, Shandong, 250014, Jinan, P.R. China.; Shandong Engineering Research Center for Public Security Physical Evidence Inspection and Information Technology, Shandong University of Political Science and Law, Jinan, 250014, Shandong, P.R. China., Cheng F; Provincial Characteristic Laboratory of Forensic Science, Shandong University of Political Science and Law, 65 JieFang East Road, Shandong, 250014, Jinan, P.R. China.; Shandong Engineering Research Center for Public Security Physical Evidence Inspection and Information Technology, Shandong University of Political Science and Law, Jinan, 250014, Shandong, P.R. China., Lu W; Provincial Characteristic Laboratory of Forensic Science, Shandong University of Political Science and Law, 65 JieFang East Road, Shandong, 250014, Jinan, P.R. China.; Shandong Engineering Research Center for Public Security Physical Evidence Inspection and Information Technology, Shandong University of Political Science and Law, Jinan, 250014, Shandong, P.R. China., Ma C; Provincial Characteristic Laboratory of Forensic Science, Shandong University of Political Science and Law, 65 JieFang East Road, Shandong, 250014, Jinan, P.R. China.; Shandong Engineering Research Center for Public Security Physical Evidence Inspection and Information Technology, Shandong University of Political Science and Law, Jinan, 250014, Shandong, P.R. China., Duan X; Provincial Characteristic Laboratory of Forensic Science, Shandong University of Political Science and Law, 65 JieFang East Road, Shandong, 250014, Jinan, P.R. China.; Shandong Engineering Research Center for Public Security Physical Evidence Inspection and Information Technology, Shandong University of Political Science and Law, Jinan, 250014, Shandong, P.R. China., Jin J; Provincial Characteristic Laboratory of Forensic Science, Shandong University of Political Science and Law, 65 JieFang East Road, Shandong, 250014, Jinan, P.R. China.; Shandong Engineering Research Center for Public Security Physical Evidence Inspection and Information Technology, Shandong University of Political Science and Law, Jinan, 250014, Shandong, P.R. China., Li X; Provincial Characteristic Laboratory of Forensic Science, Shandong University of Political Science and Law, 65 JieFang East Road, Shandong, 250014, Jinan, P.R. China. lixuebo@sdupsl.edu.cn.; Shandong Engineering Research Center for Public Security Physical Evidence Inspection and Information Technology, Shandong University of Political Science and Law, Jinan, 250014, Shandong, P.R. China. lixuebo@sdupsl.edu.cn., Li S; Hebei Key Laboratory of Forensic Medicine, Shijiazhuang, 050017, Hebei, P.R. China. shujinli@hebmu.edu.cn.
Source: International journal of legal medicine [Int J Legal Med] 2026 Jul; Vol. 140 (4), pp. 2495-2506. Date of Electronic Publication: 2026 Mar 13.
Publication Type: Journal Article
Journal Info: Publisher: Springer International Country of Publication: Germany NLM ID: 9101456 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1437-1596 (Electronic) Linking ISSN: 09379827 NLM ISO Abbreviation: Int J Legal Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1437-1596
DOI:10.1007/s00414-026-03745-w