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作 者:邢凯宁 杨瑞琴[1] 董林沛 宋歌 李佳宜 张云峰 任昕昕 XING Kaining;YANG Ruiqin;DONG Linpei;SONG Ge;LI Jiayi;ZHANG Yunfeng;REN Xinxin(School of Investigation,People’s Public Security University of China,Beijing 100038,China;Institute of Forensic Science,Ministry of Public Security,Beijing 100038,China)
机构地区:[1]中国人民公安大学侦查学院,北京100038 [2]公安部鉴定中心,北京100038
出 处:《中国司法鉴定》2025年第1期28-36,共9页Chinese Journal of Forensic Sciences
基 金:国家重点研发计划(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);北京市科技新星计划(20230484316)。
摘 要:目的旨在建立一种高效、高灵敏度的人体体表挥发性有机化合物(volatile organic compounds,VOCs)分析方法,用于法庭科学领域的犯罪嫌疑人特征刻画。方法采用全自动顶空-固相微萃取箭型(headspace-solid-phase microextraction-Arrow,HS-SPME-Arrow)气相色谱-质谱联用技术,优化得到最佳萃取条件:使用50μm/30μm DVB/CWR/PDMS萃取纤维头,设置孵化时间25 min,萃取温度60℃,萃取时间25 min,解吸时间3 min。通过与传统SPME的对比实验,评估了SPME-Arrow的性能优势。结果SPME-Arrow的萃取效率约是传统SPME的1.6倍,展现出显著的自动化程度高、吸附容量大的技术优势。应用该方法成功识别出9种性别特征性VOCs标志物,基于该标志物组合进行性别推测的准确率达到93.3%。结论建立的人体体表VOCs分析方法具有高效、灵敏的特点,在法庭科学领域的犯罪嫌疑人特征刻画中展现出良好的应用前景,为个体识别提供了新的技术手段。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 50μm/30μm 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.
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