中国科学(化学)2024,Vol.54Issue(7) :1077-1088.DOI:10.1360/SSC-2024-0021

化学计量学在爆炸残留物检验中的研究进展

Research progress in chemometrics in the detection of explosive residues

杨智超 李宏达 何思源 冯瑞婷 刘雨穆
中国科学(化学)2024,Vol.54Issue(7) :1077-1088.DOI:10.1360/SSC-2024-0021

化学计量学在爆炸残留物检验中的研究进展

Research progress in chemometrics in the detection of explosive residues

杨智超 1李宏达 1何思源 1冯瑞婷 1刘雨穆1
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作者信息

  • 1. 中国刑事警察学院刑事科学技术学院,沈阳 110035
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摘要

爆炸物杀伤力大、隐蔽性强,爆炸现场调查通常依赖爆炸残留物的检验来为侦查提供方向和线索,基于解决爆炸残留物检验产生大量数据的需求,化学计量学方法已被公认为法庭科学解释和优化分析方法的有力工具.本文详细阐述了各种化学计量学方法以及结合化学计量学对爆炸案件中爆炸残留物检验的应用.化学计量学与现代仪器分析技术相结合可以大幅度提高检验鉴定效率,以推动其在爆炸残留物中的进一步研究与应用.未来,化学计量学结合人工智能(AI)的方法可以极大地推动爆炸残留物检验领域的发展,从而提高鉴定的效率和准确性,这将对爆炸案件的调查、预防和处理产生深远影响.

Abstract

Explosive lethality covert explosion scene investigation usually relies on the examination of explosive residues to provide direction and clues for the investigation.Based on the solution to the demand for large quantities of data generated by the examination of explosive residues,chemometrics has been recognized in a court of law as a powerful tool for the scientific interpretation and optimization of analytical methods.A detailed description of the various chemometrics methods and the application of combining chemometrics to the examination of explosive residues in explosive cases,combined with modem instrumental analysis technology,can significantly improve the efficiency of the examination and identification in order to promote further research and application of chemometrics in explosive residues.In the future,chemometrics combined with artificial intelligence(AI)methods can greatly promote the development of the field of explosive residue testing,thereby improving the efficiency and accuracy of identification,and will have a far-reaching impact on the investigation,prevention and handling of explosion cases.

关键词

爆炸案件/化学计量学/爆炸残留物/检验鉴定/人工智能

Key words

explosion case/chemometrics/explosive residue/inspection and appraisal/artificial intelligence

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基金项目

国家自然科学青年科学基金(21804140)

国家重点研发计划(2016YFC0800705)

公安部科技强警基础工作专项(2022JC02)

辽宁省应用基础研究计划项目(2023JF12/10300097)

沈阳市中青年科技创新人才支持计划(RC220480)

辽宁省"百千万人才工程"项目()

出版年

2024
中国科学(化学)
中国科学院

中国科学(化学)

CSTPCD北大核心
影响因子:0.685
ISSN:1674-7224
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