ANFO vapour detection with conducting polymer percolation network sensors and GC/MS,Analyst

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ANFO vapour detection with conducting polymer percolation network sensors and GC/MS
Analyst ( IF 3.6 ) Pub Date : 2021-2-15 , DOI: 10.1039/d0an02403a
Merel J Lefferts ₁ , Lisa H Humphreys ₂ , Nathalie Mai ₂ , Krishnan Murugappan ₁ , Ben I Armitage ₁ , Jean-François Pons ₂ , Martin R Castell ₁

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Ammonium nitrate mixed with fuel oil (ANFO) is commonly used in improvised explosive devices (IEDs). The development of ANFO vapour sensors that are small, inexpensive, and easy to use will enable widespread IED detection in the context of security and humanitarian demining. Because of concealment and the low vapour pressures of most explosive materials, achieving sufficiently high sensitivity and low limits of detection are some of the main challenges of explosives vapour detection. Here ANFO chemiresistive vapour sensors based on polypyrrole (PPy) percolation networks are presented and compared to gas chromatography-mass spectroscopy (GC/MS) results for ANFO. Improved sensitivities are achieved by using a polymer percolation network instead of a thin film for the gas sensors. Vapour concentrations are detected of 13–180 ppb of ammonia emitted by a variety of different ammonium nitrate-containing fertilisers and fertiliser-diesel mixtures.

中文翻译：

使用导电聚合物渗滤网络传感器和 GC/MS 进行 ANFO 蒸汽检测

与燃油混合的硝酸铵 (ANFO) 通常用于简易爆炸装置 (IED)。小型、廉价和易于使用的 ANFO 蒸汽传感器的开发将能够在安全和人道主义排雷的背景下进行广泛的简易爆炸装置检测。由于大多数爆炸材料的隐蔽性和低蒸气压，实现足够高的灵敏度和低检测限是爆炸物蒸气检测的一些主要挑战。此处介绍了基于聚吡咯 (PPy) 渗透网络的 ANFO 化学电阻式蒸汽传感器，并与 ANFO 的气相色谱-质谱 (GC/MS) 结果进行了比较。通过使用聚合物渗透网络而不是气体传感器的薄膜来提高灵敏度。

更新日期：2021-02-16

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