基于FQ和IMS的痕量爆炸物探测分析

doi:10.16265/j.cnki.issn1003-3033.2024.11.0356

中国安全科学学报 ›› 2024, Vol. 34 ›› Issue (11): 179-184.doi: 10.16265/j.cnki.issn1003-3033.2024.11.0356

基于FQ和IMS的痕量爆炸物探测分析

郝凤龙¹(), 张庆胜², 姜玲玲¹, 金川¹, 张涛¹, 贾二惠²

¹ 公安部第一研究所,北京 100048
² 北京中盾安民分析技术有限公司,北京 102200

收稿日期:2024-05-10 修回日期:2024-08-11 出版日期:2024-11-28
作者简介:
郝凤龙 (1985—),男,黑龙江绥化人,博士,副研究员,主要从事反恐、禁毒理论与装备等方面的工作。E-mail:haofenglong110@126.com。
姜玲玲, 副研究员
金川, 研究员
张涛, 研究员
贾二惠, 研究员
基金资助:
国家重点研发计划项目(2022YFF0708203); 中央级公益性科研院所基本科研业务费项目(B21607)

Trace explosive detection analysis based on FQ and IMS

HAO Fenglong¹(), ZHANG Qingsheng², JIANG Lingling¹, JIN Chuan¹, ZHANG Tao¹, JIA Erhui²

¹ First Research Institute of the Ministry of Public Security, Beijing 100048, China
² Beijing Zhongdun Anmin Analysis Technology Co., Ltd., Beijing 102200, China

Received:2024-05-10 Revised:2024-08-11 Published:2024-11-28

摘要/Abstract

摘要：

为及时有效地查出行李、包裹和人身中隐藏的爆炸物,利用荧光淬灭(FQ)和离子迁移谱(IMS)2种痕量爆炸物检测仪器,分别通过擦拭和吸气2种采样方式,检测三硝基甲苯(TNT)、黑索金(RDX)、三过氧化三丙酮(TATP)、硝酸铵(AN)等多种爆炸物,并主要从报警时间和恢复时间2个方面进行对比分析。结果表明:擦拭采样情况下,FQ的平均报警时间比IMS少约2 s,平均恢复时间比IMS少约30 s,具有更高的检测效率。吸气采样情况下,FQ仪器可检测TNT和TATP,IMS仪器难以检测爆炸物。

关键词: 荧光淬灭(FQ), 离子迁移谱(IMS), 痕量, 爆炸物探测, 报警时间, 恢复时间

Abstract:

In order to timely and effectively detect the explosives hidden in luggage, packages and individuals, multiple explosives such as trinitrotoluene(TNT), hexahydro-1,3,5-trinitro-1,3,5-triazine(RDX), triacetone triperoxide(TATP), ammonium nitrate(AN), etc. were detected by FQ and IMS instruments by wiping and aspiration sampling methods. The comparison was mainly made from two aspects: alarm time and recovery time. The experimental results show that under wiping sampling, the average alarm time of FQ is about 2 seconds less than that of IMS, and the average recovery time is about 30 seconds less than that of IMS, which has higher detection efficiency. In the case of aspirated sampling, FQ instruments can detect TNT and TATP, while it is difficult for IMS instruments to detect explosives.

Key words: fluorescence quenching (FQ), ion mobility spectrometry (IMS), trace, explosive detection, alarm time, recovery time

中图分类号:

X924.2安全监测技术与设备

郝凤龙, 张庆胜, 姜玲玲, 金川, 张涛, 贾二惠. 基于FQ和IMS的痕量爆炸物探测分析[J]. 中国安全科学学报, 2024, 34(11): 179-184.

HAO Fenglong, ZHANG Qingsheng, JIANG Lingling, JIN Chuan, ZHANG Tao, JIA Erhui. Trace explosive detection analysis based on FQ and IMS[J]. China Safety Science Journal, 2024, 34(11): 179-184.

图/表 6

图1

图2

表1

表2

表3

表4

参考文献 21

[1]	魏琳, 李丽华, 秦立强, 等. 城市地铁恐怖袭击事件应急能力综合评价[J]. 中国安全科学学报, 2023, 33(7):213-221. doi: 10.16265/j.cnki.issn1003-3033.2023.07.2285
	WEI Lin, LI Lihua, QIN Liqiang, et al. Comprehensive evaluation of emergency response capability of urban subway terrorist attacks[J]. China Safety Science Journal, 2023, 33(7): 213-221. doi: 10.16265/j.cnki.issn1003-3033.2023.07.2285
[2]	许兴鹏, 许清风, 房志明, 等. 全球恐怖袭击发展趋势与伤亡风险分析[J]. 中国安全科学学报, 2021, 31(6):170-175. doi: 10.16265/j.cnki.issn 1003-3033.2021.06.022
	XU Xingpeng, XU Qingfeng, FANG Zhiming, et al. Development trend of global terrorist attacks and analysis on casualty risk[J]. China Safety Science Journal, 2021, 31(6): 170-175. doi: 10.16265/j.cnki.issn 1003-3033.2021.06.022
[3]	US State Department. Global terrorism index 2013[R], 2014.
[4]	黄杰, 张显峰. 以南疆为例的区域暴恐袭击风险评估[J]. 中国安全科学学报, 2022, 32(2):192-199. doi: 10.16265/j.cnki.issn1003-3033.2022.02.026
	HUANG Jie, ZHANG Xianfeng. Risk assessment of regional violent terrorist attacks in southern Xinjiang[J]. China Safety Science Journal, 2022, 32(2):192-199. doi: 10.16265/j.cnki.issn1003-3033.2022.02.026
[5]	方子龙. 兰姆波型声表面波爆炸物传感器研究[D]. 成都: 电子科技大学, 2023.
	FANG Zilong. Research on lamb type surface acoustic wave explosive sensor[D]. Chengdu: University of Electronic Science and Technology of China, 2023.
[6]	陈瑞. 面向安检透视成像应用的闪烁体光子计数X射线探测器[D]. 武汉: 华中科技大学, 2023.
	CHEN Rui. A scintillation photon-counting X-ray detector for security inspection imaging[D]. Wuhan: Huazhong University of Science and Technology, 2023.
[7]	周烨. 近场毫米波人体成像仿真设计与优化研究[D]. 南京: 南京航空航天大学, 2020.
	ZHOU Ye. Research on simulation design and optimization of near-field millimeter wave personnel screening[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2020.
[8]	刘伏龙, 王浩然, 薄楠, 等. 基于核共振吸收法开展爆炸物检测的原理验证研究[J]. 原子能科学技术, 2022, 56(增1):258-264.
	LIU Fulong, WANG Haoran, BO Nan, et al. Proof-of-principle study of explosive detection based on nuclear resonance absorption[J]. Atomic Energy Science and Technology, 2022, 56(S1): 258-264.
[9]	华仁军, 刘伟鹏, 许鑫鑫, 等. 核电四极矩共振信号强度检测模型修正[J]. 核电子学与探测技术, 2021, 41(3):524-527.
	HUA Renjun, LIU Weipeng, XU Xinxin, et al. Modification of signal strength detection model for nuclear quadrupole resonance[J]. Nuclear Electronics & Detection Technology, 2021, 41(3): 524-527.
[10]	谷天予, 张大成, 冯中琦, 等. 痕量爆炸物的激光诱导击穿光谱快速鉴别方法[J]. 现代应用物理, 2023, 14(2):106-111,132.
	GU Tianyu, ZHANG Dacheng, FENG Zhongqi, et al. Identification of trace explosives by laser-induced breakdown spectroscopy[J]. Modern Applied Physics, 2023, 14(2): 106-111, 132.
[11]	叶倩, 洪欢欢, 周峰, 等. 基于机器学习的直接电离质谱爆炸物检测方法[J]. 分析测试学报, 2021, 40(4):589-595.
	YE Qian, HONG Huanhuan, ZHOU Feng, et al. Detection of explosives by direct ionization mass spectrometry based on machine learning algorithm[J]. Journal of Instrumental Analysis, 2021, 40(4): 589-595.
[12]	吴昊天, 王广发, 窦新存. 比色法在爆炸物检测中的研究进展[J]. 分析测试学报, 2021, 40(4):468-477.
	WU Haotian, WANG Guangfa, DOU Xincun. Advances on colorimetry in explosives detection[J]. Journal of Instrumental Analysis, 2021, 40(4): 468-477.
[13]	孙宁, 胡庭溪, 徐澍, 等. 基于远程遥控方式训练松鼠识别毒品和爆炸物气味[J]. 中国药物依赖性杂志, 2024, 33(1):28-35.
	SUN Ning, HU Tingxi, XU Shu, et al. Experiment of training squirrels to recognize the odor of drugs and explosives based on remote control[J]. Chinese Journal of Drug Dependence, 2024, 33(1): 28-35.
[14]	窦新存, 王广发, 代卓华. 非制式爆炸物比色/荧光传感研究进展(特邀)[J]. 光子学报, 2022, 51(8):121-135.
	DOU Xincun, WANG Guangfa, DAI Zhuohua. Recent progress in colorimetric/fluorescent sensing toward improvised explosives (invited)[J]. Acta Photonica Sinica, 2022, 51(8): 121-135.
[15]	程传钦. 高光稳定性共组装荧光传感材料的开发及在爆炸物检测方面的应用[D]. 北京: 中国科学院大学, 2022.
	CHENG Chuanqin. Development of high-photostability co-assembled fluorescence sensing materials and their application in explosives detection[D]. Beijing: University of Chinese Academy of Sciences, 2022.
[16]	金洁, 疏天民. 离子迁移管中湿度变化对毒品和烟酰胺检测的影响[J]. 分析试验室, 2021, 40(9):1 044-1 048.
	JIN Jie, SHU Tianmin. Effect of humidity changes in ion migration tubes on drug and nicotinamide detection[J]. Chinese Journal of Analysis Laboratory, 2021, 40(9):1 044-1 048.
[17]	代渐雄, 赵忠俊, 朱爽, 等. 微波诱导等离子体离子迁移谱用于痕量爆炸物检测的研究[J]. 分析化学, 2018, 46(8):1 238-1 244.
	DAI Jianxiong, ZHAO Zhongjun, ZHU Shuang, et al. Microwave induced plasma ionization ion mobility spectrometry for detection of trace explosives[J]. Chinese Journal of Analytical Chemistry, 2018, 46(8): 1 238-1 244.
[18]	金洁, 尤晓明. 离子迁移谱(第三版)[M]. 上海: 复旦大学出版社, 2021:2-3.
[19]	薛伟. 有机聚合物复合荧光纤维及其传感性能研究[D]. 南京: 南京邮电大学, 2020.
	XUE Wei. Organic polymer composite fluorescence fibers and their sensing properties[D]. Nanjing: Nanjing University of Posts and Telecommunications, 2020.
[20]	郭海军, 吴昱辰, 唐寒露, 等. HMX基钝感传爆药制备技术[J]. 中国安全科学学报, 2022, 32(2):139-144. doi: 10.16265/j.cnki.issn1003-3033.2022.02.019
	GUO Haijun, WU Yuchen, TANG Hanlu, et al. Preparation technology of HMX-based insensitive booster explosives[J]. China Safety Science Journal, 2022, 32(2): 139-144. doi: 10.16265/j.cnki.issn1003-3033.2022.02.019
[21]	母鸿斌. 新型三过氧化三丙酮(TATP)荧光探针的设计、合成与性能研究[D]. 长春: 吉林大学, 2022.
	MU Hongbin. Design, synthesis and performance study of novel fluorescent probes for triacetone triperoxide (TATP)[D]. Changchun: Jilin University, 2022.

样品名称	样品质量浓度/ (ng·μL ^-1)	平均报警响应时间/s	平均报警恢复时间/s
TNT	0.1	1.38	4.32
RDX	20	3.58	5.80
黑火药	10	2.36	4.79
膨化炸药	10	5.41	9.07
TATP	10	1.42	5.08
硝基苯	1	4.23	5.40
AN	5	1.16	5.05
硝基甲苯	5	1.52	4.82
奥克托金	100	2.38	4.93
8701炸药	10	1.43	5.87

样品名称	采样方式
样品名称	擦拭采样		吸气采样
TNT	报警响应时间	1.38	报警响应时间	1.71
TNT	报警恢复时间	4.32	报警恢复时间	4.90
TATP	报警响应时间	1.42	报警响应时间	1.07
TATP	报警恢复时间	5.08	报警恢复时间	7.15

样品名称	擦拭采样图谱	吸气采样图谱
TNT
AN

样品名称	FQ仪器		IMS仪器
样品名称	平均报警时间	平均恢复时间	平均报警时间	平均恢复时间
TNT	1.38	4.32	3.48	35.63
AN	1.16	5.05	3.57	35.33

基于FQ和IMS的痕量爆炸物探测分析

Trace explosive detection analysis based on FQ and IMS

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 6

参考文献 21

相关文章 4

编辑推荐

Metrics

本文评价

[1]	黄信, 徐平, 吴堃. 降雪天气对机场基础设施系统韧性恢复的影响[J]. 中国安全科学学报, 2024, 34(4): 175-182.
[2]	杨丽娇, 刘岩, 蒋新宇. 基于加速失效时间模型的企业停产与恢复时间研究[J]. 中国安全科学学报, 2023, 33(6): 181-189.
[3]	王玉化, 戚春华, 朱守林, 解松芳. 草原公路驾驶人腰部疲劳恢复的表面肌电分析[J]. 中国安全科学学报, 2018, 28(5): 6-11.
[4]	王玉化, 戚春华, 朱守林, 解松芳, 赵婷. 驾驶疲劳恢复时间的心电信号分析[J]. 中国安全科学学报, 2017, 27(8): 7-12.