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Key challenges and prospects for optical standoff trace detection of explosives
Trends in Analytical Chemistry ( IF 13.1 ) Pub Date : 2017-12-29 , DOI: 10.1016/j.trac.2017.12.014
Patrick Wen , Mitesh Amin , William D. Herzog , Roderick R. Kunz

Sophisticated improvised explosive devices (IEDs) challenge the capabilities of current sensors, particularly in areas away from static checkpoints. This security gap could be filled by standoff chemical sensors that detect IEDs based on external trace explosive residues. Unfortunately, previous efforts have not led to widely deployed capabilities. Crucially, the physical morphology of trace explosive residues and chemical “clutter” present unique challenges to the operational performance of standoff sensors. In this review, an overview of standoff trace explosive detection systems is provided in the context of these unique challenges. Tradespace analysis is performed for two popular standoff detection methods: longwave infrared hyperspectral imaging and deep-UV Raman spectroscopy. The tradespace analysis method described in this review incorporates realistic trace explosive residues and background clutter into the technology development process. The review predicts system performance and areas where additional research is needed for these two technologies to optimize performance.



中文翻译:

爆炸物的光学隔离痕迹检测的主要挑战和前景

复杂的简易爆炸装置(IED)挑战了电流传感器的功能,尤其是在远离静态检查站的区域。这种安全漏洞可以由能够根据外部痕量爆炸性残留物检测IED的防区化学传感器来填补。不幸的是,先前的努力并未导致广泛部署功能。至关重要的是,痕量爆炸性残留物的物理形态和化学“杂波”对防区位传感器的操作性能提出了独特的挑战。在这篇综述中,针对这些独特挑战提供了对峙痕量爆炸物探测系统的概述。Tradespace分析是针对两种流行的对峙检测方法进行的:长波红外高光谱成像和深紫外拉曼光谱。本文中描述的贸易空间分析方法将现实的痕量爆炸性残留物和背景杂物纳入了技术开发过程。该评论预测了系统性能以及这两种技术需要进一步研究以优化性能的领域。

更新日期:2017-12-31
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