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Development and characterization of an electrostatic particle sampling system for the selective collection of trace explosives

机译:选择性收集痕量炸药的静电粒子采样系统的开发与表征

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摘要

Detection of trace explosives residues at people and cargo control points has become a key security challenge. A severe obstacle is that all commercial and military high explosives have low to extremely low vapor pressures which make them very hard to detect. With detectable vapors not being present, explosives detection needs to proceed through a series of sequential steps including particle collection, thermal vapor conversion and vapor detection. The present paper describes the design and test of an electrostatic particle precipitator which allows particle residue to be collected from the environment, the collected particle residue to be separated into high- and low-electron affinity fractions and the high-electron-affinity one to be concentrated onto a small-area collector surface for later vaporization. The selectivity of this particle collection and separation process is demonstrated and a full-chain demonstration of a DNT detection experiment is presented (DNT: di-nitro-toluene).
机译:在人员和货物控制点检测痕量炸药残留物已成为一项关键的安全挑战。一个严重的障碍是,所有商业和军事高爆炸药的蒸气压都低至极低,这使其很难被发现。由于不存在可检测的蒸气,炸药的检测需要通过一系列连续的步骤进行,包括颗粒收集,热蒸气转化和蒸气检测。本文描述了一种静电粒子除尘器的设计和测试,该静电除尘器允许从环境中收集颗粒残留物,将收集到的颗粒残留物分离为高电子亲和力和低电子亲和力部分,并将高电子亲和力分离为浓缩到小面积集热器表面上,以便随后蒸发。证明了这种颗粒收集和分离过程的选择性,并提出了DNT检测实验的全链证明(DNT:二硝基甲苯)。

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