基于指纹物质飞行时间二次离子质谱成像信号的指纹遗留人性别识别

引用本文: 李文杰, 孙令辉, 游伟, 田师思, 王利雪, 赵雅彬, 李展平. 基于指纹物质飞行时间二次离子质谱成像信号的指纹遗留人性别识别[J]. 分析化学, 2022, 50(1): 112-118. doi: 10.19756/j.issn.0253-3820.210555 shu

Citation: LI Wen-Jie, SUN Ling-Hui, YOU Wei, TIAN Shi-Si, WANG Li-Xue, ZHAO Ya-Bin, LI Zhan-Ping. Gender Recognition of Fingerprint Remnant Based on Time-of-Flight Secondary Ion Mass Spectrometry Imaging Signal of Fingerprint Substance[J]. Chinese Journal of Analytical Chemistry, 2022, 50(1): 112-118. doi: 10.19756/j.issn.0253-3820.210555 shu

基于指纹物质飞行时间二次离子质谱成像信号的指纹遗留人性别识别

李文杰 ^1, ,
孙令辉 ^1, ,
游伟 ^1, ,
田师思 ^1, ,
王利雪 ^2, ,
赵雅彬 ^{1,
,} ,
李展平 ^{3,4,
,}

1.
中国人民公安大学侦查学院, 北京 100038;
2.
安徽省公安教育研究院, 合肥 230031;
3.
清华大学分析中心, 北京 100084;
4.
清华大学化学系, 有机光电子与分子工程教育部重点实验室, 北京 100084

通讯作者: 赵雅彬,E-mail:zhaoyb04@gmail.com; 李展平,E-mail:Zhanpingli@mail.tsinghua.edu.cn

基金项目:
国家重点研发计划项目（No.2018YFA0702600）和中国人民公安大学基本科研课题项目（No.2021JKF219）资助。

摘要: 飞行时间二次离子质谱成像技术（TOF-SIMSI）不仅可获取指纹的三级特征，还能获取物质信息，为案件现场提取到的残缺指纹的证据价值提供了更多可能。本研究利用TOF-SIMS技术结合多层感知器神经网络探究基于指纹物质离子信号进行人群性别特征分析的可行性。首先通过独立样本T检验对利用TOF-SIMS检测出的所有志愿者共有的107种指纹物质离子信号进行样本差异性分析，并筛选出差异显著的离子信号，再利用主成分分析降维后输入到多层感知器神经网络中进行性别分类识别。结果表明，本方法正确判别男性的概率约为85%，正确判别女性的概率约为95%，总样本正确率约为90%。本研究为深入挖掘残缺指纹多维信息提供了一种有效方法。

关键词:

English

Gender Recognition of Fingerprint Remnant Based on Time-of-Flight Secondary Ion Mass Spectrometry Imaging Signal of Fingerprint Substance

1.
Academy of Forensic Science, People's Public Security University of China, Beijing 100038, China;
2.
Anhui Public Security Education Research Institute, Hefei 230031, China;
3.
Analysis Center, Tsinghua University, Beijing 100084, China;
4.
Key Laboratory of Organic Optoelectronics & Molecular Engineering of Ministry of Education, Department of Chemistry, Tsinghua University, Beijing 100084, China

Corresponding author: ZHAO Ya-Bin, ; LI Zhan-Ping,

Received Date: 08 June 2021
Revised Date: 21 September 2021
Fund Project:
Supported by the National Key R&D Program of China (No.2018YFA0702600) and the Basic Research Project of People's Public Security University of China (No.2021JKF216).

Abstract: Time-of-flight secondary ion mass spectrometry imaging (TOF-SIMSI) can not only obtain the third level characteristics of fingerprints, but also obtain the material information, which provides more possibilities for the evidential value of partial fingerprints lifted from crime scenes, especially for individual gender analysis based on fingerprint materials. In this work, TOF-SIMS technology combined with multi-layer perceptron neural network was used to explore the feasibility of population gender characteristics analysis based on fingerprint material ion signals. Firstly, the ion signals of 107 fingerprint substances shared by all volunteers detected by TOF-SIMS were analyzed by independent sample T test and the ion signals with significant differences were screened out. After dimension reduction by principal component analysis, they were input into the multi-layer perceptron neural network for gender classification and recognition. The results showed that the method correctly identified about 85% of males and 95% of females, and the total sample accuracy was about 90%. This work provided an effective method for further mining multidimensional information of partial fingerprints.

Key words:

Time-of-flight secondary ion mass spectrometry
/ Partial fingerprints
/ Gender judgment
/ Multilayer perceptron neural network

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沈阳化工大学材料科学与工程学院沈阳 110142

基于指纹物质飞行时间二次离子质谱成像信号的指纹遗留人性别识别

通讯作者: 赵雅彬,E-mail:zhaoyb04@gmail.com; 李展平,E-mail:Zhanpingli@mail.tsinghua.edu.cn

English

Gender Recognition of Fingerprint Remnant Based on Time-of-Flight Secondary Ion Mass Spectrometry Imaging Signal of Fingerprint Substance

Corresponding author: ZHAO Ya-Bin, ; LI Zhan-Ping,

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通讯作者: 陈斌, bchen63@163.com

中国化学会秘书处

基于指纹物质飞行时间二次离子质谱成像信号的指纹遗留人性别识别

通讯作者: 赵雅彬,E-mail:zhaoyb04@gmail.com; 李展平,E-mail:Zhanpingli@mail.tsinghua.edu.cn

English

Gender Recognition of Fingerprint Remnant Based on Time-of-Flight Secondary Ion Mass Spectrometry Imaging Signal of Fingerprint Substance

Corresponding author: ZHAO Ya-Bin, ; LI Zhan-Ping,

CCS Chemistry：嵌段共聚物自组装成 “三明治”二维有机材料，实现纳米级压力传感功能

CCS Chemistry：颜徐州、鲍哲南： 你的皮肤可能是一片SPMs

CCS Chemistry：工作高效不疲劳，只须让催化剂动起来

CCS Chemistry：静电组装导向聚合- 聚电解质纳米凝胶量化制备新策略

CCS Chemistry：金黄色葡萄球菌醛基脱氢酶是如何识别特异性底物的？

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