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Metal oxide sensor arrays for detection of explosives at sub-parts-per million concentration levels by the differential electronic nose

机译:金属氧化物传感器阵列,用于通过差分电子鼻检测百万分之一浓度以下的爆炸物

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摘要

The study presents an application of the differential electronic nose to the estimation and recognition of the TNT, PETN and RDX in the complex environments under their storage. Generally there are two separate problems in the field of recognition of explosives: first - detection of the trace concentration of explosives by analytical methods (gas chromatography, ion mobility spectrometry, neutron activation analysis) and the second - the estimation of the state of explosives during their time storages in the military objects. In the second problem the concentration of a vapor of explosives is at level of sub-parts-per million where chemosensors technique is fully applicable. This paper is concerned with the second type problem. It defines the recognition criteria providing stable and robust basis for the recognition of different explosive materials. The important part of this procedure performs the 2-dimensional convolution of the differential signals formed on the basis of two sensor arrays used in the construction of the differential nose. The experimental results of the recognition of TNT, PETN and RDX have confirmed the excellent recognition ability of the developed system.
机译:这项研究提出了差分电子鼻在其存储下复杂环境中TNT,PETN和RDX的估计和识别中的应用。通常,在爆炸物识别领域存在两个独立的问题:第一-通过分析方法(气相色谱法,离子迁移谱法,中子活化分析)检测爆炸物的痕量浓度,第二个-估计爆炸物在爆炸过程中的状态它们的时间存储在军事物品中。在第二个问题中,炸药蒸气的浓度达到百万分之一的水平,其中化学传感器技术是完全适用的。本文涉及第二类问题。它定义了识别标准,为识别不同爆炸物提供了稳定而可靠的基础。该过程的重要部分是对差分信号进行二维卷积,该差分信号是基于在差分机头构造中使用的两个传感器阵列而形成的。 TNT,PETN和RDX识别的实验结果证实了所开发系统的出色识别能力。

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