中国司法鉴定Issue(1)：28-36,9.DOI:10.3969/j.issn.1671-2072.2025.01.004
基于全自动HS-SPME-Arrow-GC-MS的人体体表挥发性有机化合物检测及性别推测研究
Analysis of Volatile Organic Compounds on Human Body Surfaces by Fully Automated HS-SPME-Arrow-GC-MS and Its Application in Gender Prediction
摘要
Abstract
Objective To develop a high-efficiency and sensitive analytical method for detecting volatile organic compounds(VOCs)on human skin surfaces,aiming to support suspect profiling in the field of forensic science.Methods A fully automated headspace-solid-phase microextraction-Arrow(HS-SPME-Arrow)system coupled with gas chromatography-mass spectrometry(GC-MS)was implemented.Optimized extraction conditions included:use of a 50 μm/30 μm DVB/CWR/PDMS extraction fiber membrane,25-min incubation,25-min extraction at 60℃,and 3-min desorption.Comparative studies with conventional SPME was conducted to evaluated the methodological enhancements.Results The extraction efficiency of the SPME-Arrow method was 1.6-fold higher than that of conventional SPME method,showing significant advantages in terms of automation capability and adsorption capacity.Nine gender-specific VOCs biomarkers were successfully identified,and the accuracy rate for gender prediction using this biomarker combination reached 93.3%.Conclusion This VOCs profiling method exhibits high efficiency and sensitivity,providing a novel forensic tool for suspect characterization with significant investigative potential.关键词
固相微萃取箭型/气相色谱-质谱法/人体体表/挥发性有机化合物/性别推测Key words
solid-phase microextraction-Arrow(SPME-Arrow)/gas chromatography-mass spectrometry(GC-MS)/human body surface/volatile organic compound(VOC)/gender prediction分类
政治法律引用本文复制引用
邢凯宁,杨瑞琴,董林沛,宋歌,李佳宜,张云峰,任昕昕..基于全自动HS-SPME-Arrow-GC-MS的人体体表挥发性有机化合物检测及性别推测研究[J].中国司法鉴定,2025,(1):28-36,9.基金项目
国家重点研发计划(2022YFC3320700) （2022YFC3320700）
中国人民公安大学刑事科学技术双一流创新研究专项(2023SYL06) （2023SYL06）
北京市科技新星计划(20230484316). （20230484316）
