Real-time Detection of Chemical Compounds in Dust Particles Using a Single-Particle Mass Spectrometer and its Potential for Safety Applications

质谱法 电离 爆炸物 激光器 粒子(生态学) 离子迁移光谱法 表征(材料科学) 材料科学 工艺工程 纳米技术 化学 离子 色谱法 物理 光学 工程类 地质学 有机化学 海洋学
作者
Johannes Passig,Julian Schade,Ellen Iva Rosewig,Michael Pütz,Martin Seipenbusch,Sven Ehlert,Heinrich Ruser,Thomas Adam,Andreas Walte,Ralf Zimmermann
标识
DOI:10.1109/sensors56945.2023.10325278
摘要

The global rise in mobility and trade implies growing challenges in detecting safety-related and hazardous substances during transport and handling. To cope with these challenges, advanced technological solutions and improved, real-time detection methods are demanded. The capability to detect unknown target substances is particularly crucial, considering e.g. the modifications made to circumvent regulations in designer drugs. This study focuses on the detection of safety-related substances in dust particles in real- time using single-particle mass spectrometry (SPMS). SPMS allows for the identification of chemical signatures of individual aerosol particles. After passing through an aerodynamic lens and a pair of laser-light barriers for sizing and timing, the particles are exposed to an intense UV laser pulse, which induces ion formation through laser desorption/ionization (LDI). Additional steps to enhance the analytic capabilities involve desorbing the particles at a weaker laser energy and triggering a process called Resonance- Enhanced-Multi-Photon-Ionization (REMPI). SPMS-REMPI exhibits high sensitivity and selectivity, enabling the detection of even trace amounts of substances. Our measurements performed with various drugs, narcotics, and explosives show characteristic mass spectrometric signatures, allowing for clear identification and characterization of target compounds. The successful application of SPMS for environmental aerosol analysis proves its capability for real-time detection of a large variety of safety-related substances with high throughput, offering a powerful profiling tool to improve safety and security in logistics.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
王炸炸完成签到,获得积分10
1秒前
3秒前
打打应助无奈方盒采纳,获得10
4秒前
情怀应助peppa采纳,获得10
5秒前
5秒前
5秒前
6秒前
老字号炸洋芋完成签到,获得积分10
7秒前
lynn完成签到 ,获得积分10
8秒前
9秒前
11秒前
雪降发布了新的文献求助10
11秒前
keeper王发布了新的文献求助10
12秒前
13秒前
猕猴桃完成签到,获得积分10
17秒前
17秒前
17秒前
好好好完成签到,获得积分20
18秒前
英俊的铭应助高大的嚓茶采纳,获得10
20秒前
21秒前
默默的板栗完成签到 ,获得积分10
21秒前
21秒前
21秒前
李伟发布了新的文献求助10
22秒前
哇哈哈哈发布了新的文献求助10
23秒前
丘比特应助好好好采纳,获得10
23秒前
乙酰胆碱发布了新的文献求助20
25秒前
25秒前
25秒前
星星轨迹发布了新的文献求助10
26秒前
bkagyin应助愉快的Jerry采纳,获得10
26秒前
27秒前
深情安青应助QKD采纳,获得10
27秒前
风清扬发布了新的文献求助10
29秒前
29秒前
30秒前
30秒前
沉静的台灯完成签到,获得积分10
31秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 590
Évora na Idade Média 555
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Radical Reactions 500
Stratospheric Ozone: A Textbook 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7353936
求助须知:如何正确求助?哪些是违规求助? 8964942
关于积分的说明 19046863
捐赠科研通 7002272
什么是DOI,文献DOI怎么找? 3221827
关于科研通互助平台的介绍 2386227
邀请新用户注册赠送积分活动 2202547