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

doi:10.3969/j.issn.1671-2072.2025.01.004

中国司法鉴定 ›› 2025 ›› Issue (1): 28-36.DOI: 10.3969/j.issn.1671-2072.2025.01.004

• 专题研究：基于理化分析的人员特征刻画技术 • 上一篇下一篇

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

邢凯宁^1，2，杨瑞琴¹，董林沛²，宋歌²，李佳宜²，张云峰²，任昕昕²

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

收稿日期:2024-09-10 出版日期:2025-01-15 发布日期:2025-01-15
通讯作者: 任昕昕（1986—），女，警务技术正高级任职资格，博士，主要从事毒物分析与特征刻画研究。E-mail：renxinxin2008@126.com
作者简介:邢凯宁（2000—），男，硕士研究生，主要从事理化检验研究。E-mail：2879464406@qq.com
基金资助:
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）

Analysis of Volatile Organic Compounds on Human Body Surfaces by Fully Automated HS-SPME-Arrow-GC-MS and Its Application in Gender Prediction

XING Kaining^1,2, YANG Ruiqin¹, DONG Linpei², SONG Ge², LI Jiayi², ZHANG Yunfeng², REN Xinxin²

1. School of Investigation, People’s Public Security University of China, Beijing 100038, China; 2. Institute of Forensic Science, Ministry of Public Security, Beijing 100038, China

Received:2024-09-10 Published:2025-01-15 Online:2025-01-15

摘要/Abstract

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50 μm/30 μm 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。

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

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.

Key words: solid-phase microextraction-Arrow (SPME-Arrow), gas chromatography-mass spectrometry (GC-MS), human body surface, volatile organic compound (VOC), gender prediction

中图分类号:

DF795.1

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.

XING Kaining, YANG Ruiqin, DONG Linpei, SONG Ge, LI Jiayi, ZHANG Yunfeng, REN Xinxin. Analysis of Volatile Organic Compounds on Human Body Surfaces by Fully Automated HS-SPME-Arrow-GC-MS and Its Application in Gender Prediction[J]. Chinese Journal of Forensic Sciences, 2025(1): 28-36.

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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

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