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基于电容式MIS传感器的硝基化合物蒸汽与痕量探测器原型

Prototype of Nitro Compound Vapor and Trace Detector Based on a Capacitive MIS Sensor.

作者信息

Samotaev Nikolay, Litvinov Artur, Etrekova Maya, Oblov Konstantin, Filipchuk Dmitrii, Mikhailov Alexey

机构信息

National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Kashirskoe hwy 31, 115409 Moscow, Russia.

"INKRAM" LLC Research and Production Company ("Inkram" RPC LLC), Mikhalkovskaya Street 63 "Б", Bldg. 1, Floor 3, Premise VII, 125438 Moscow, Russia.

出版信息

Sensors (Basel). 2020 Mar 10;20(5):1514. doi: 10.3390/s20051514.

DOI:10.3390/s20051514
PMID:32164151
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7085649/
Abstract

A prototype of a nitro compound vapor and trace detector, which uses the pyrolysis method and a capacitive gas sensor based on the metal-insulator-semiconductor (MIS) structure type Pd-SiO-Si, was developed and manufactured. It was experimentally established that the detection limit of trinitrotoluene trace for the detector prototype is 1 × 10 g, which corresponds to concentration from 10 g/cm to 10 g/cm. The prototype had a response time of no more than 30 s. The possibility of further improving the characteristics of the prototype detector by reducing the overall dimensions and increasing the sensitivity of the MIS sensors is shown.

摘要

开发并制造了一种硝基化合物蒸气和痕量探测器的原型，该探测器采用热解方法和基于金属-绝缘体-半导体（MIS）结构类型Pd-SiO-Si的电容式气体传感器。通过实验确定，该探测器原型对三硝基甲苯痕量的检测限为1×10 g，对应浓度为10 g/cm至10 g/cm。该原型的响应时间不超过30秒。结果表明，通过减小整体尺寸和提高MIS传感器的灵敏度，有可能进一步改善原型探测器的性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9586/7085649/687ea3c6bd9e/sensors-20-01514-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9586/7085649/5f836b847895/sensors-20-01514-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9586/7085649/2bc425c0e78b/sensors-20-01514-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9586/7085649/33324ed22826/sensors-20-01514-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9586/7085649/f03a785bbe58/sensors-20-01514-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9586/7085649/7d67751f6c79/sensors-20-01514-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9586/7085649/ec0e66f19dfc/sensors-20-01514-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9586/7085649/af5f2b6e7137/sensors-20-01514-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9586/7085649/677ede00212e/sensors-20-01514-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9586/7085649/3892bdaf3d69/sensors-20-01514-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9586/7085649/087d3014eaed/sensors-20-01514-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9586/7085649/687ea3c6bd9e/sensors-20-01514-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9586/7085649/5f836b847895/sensors-20-01514-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9586/7085649/2bc425c0e78b/sensors-20-01514-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9586/7085649/33324ed22826/sensors-20-01514-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9586/7085649/f03a785bbe58/sensors-20-01514-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9586/7085649/7d67751f6c79/sensors-20-01514-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9586/7085649/ec0e66f19dfc/sensors-20-01514-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9586/7085649/af5f2b6e7137/sensors-20-01514-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9586/7085649/677ede00212e/sensors-20-01514-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9586/7085649/3892bdaf3d69/sensors-20-01514-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9586/7085649/087d3014eaed/sensors-20-01514-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9586/7085649/687ea3c6bd9e/sensors-20-01514-g011.jpg

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2
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Sensors (Basel). 2019 Nov 27;19(23):5207. doi: 10.3390/s19235207.
3
Electrochemical determination of nitroaromatic explosives at boron-doped diamond/graphene nanowall electrodes: 2,4,6-trinitrotoluene and 2,4,6-trinitroanisole in liquid effluents.
硼掺杂金刚石/石墨烯纳米壁电极上硝基芳香族炸药的电化学测定：废水中的2,4,6-三硝基甲苯和2,4,6-三硝基苯甲醚
J Hazard Mater. 2020 Apr 5;387:121672. doi: 10.1016/j.jhazmat.2019.121672. Epub 2019 Nov 11.
4
Towards the Development of a Low-Cost Device for the Detection of Explosives Vapors by Fluorescence Quenching of Conjugated Polymers in Solid Matrices.迈向一种低成本装置的研发，该装置通过固态基质中共轭聚合物的荧光猝灭来检测爆炸物蒸汽。
Sensors (Basel). 2017 Nov 3;17(11):2532. doi: 10.3390/s17112532.
5
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Sci Rep. 2016 May 5;6:25015. doi: 10.1038/srep25015.
6
Proximal Detection of Traces of Energetic Materials with an Eye-Safe UV Raman Prototype Developed for Civil Applications.利用为民用应用开发的人眼安全紫外拉曼原型对含能材料痕迹进行近端检测。
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