Photoelectric response based method for identifying and detecting vapor of explosive

A photoelectric response and detection method technology, applied in the field of explosives detection, can solve the problems of complex structure of sensing system, complex construction process, multiple synthesis or modification steps, etc., to simplify the sensor array structure, compensate for the complex structure, and improve the detection limit Effect

Active Publication Date: 2016-10-12
XINJIANG TECHN INST OF PHYSICS & CHEM CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This brings two problems: first, the structure of the sensing system becomes complicated; second

Method used

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  • Photoelectric response based method for identifying and detecting vapor of explosive
  • Photoelectric response based method for identifying and detecting vapor of explosive
  • Photoelectric response based method for identifying and detecting vapor of explosive

Examples

Experimental program
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Embodiment 1

[0027]A method for identifying and detecting explosive vapor based on photoelectric response according to the present invention, the devices involved in the method are composed of sensors, light sources, power supplies, ammeters, signal processors and alarms, sensor 1, light source 2, power supply 3 , the ammeter 4 is connected in series with the signal processor 5, the signal processor 5 is connected with the alarm 6, and the light source 2 that can be periodically switched and changed in light intensity is used to irradiate a single sensor 1 with a fast photoelectric response, and on the sensor 1 The sensitive materials are silicon-zinc oxide p-n junction, silicon nanowire / graphene Schottky junction, titanium dioxide / graphene Schottky junction, silicon-zinc oxide core-shell nanowire array / graphene Schottky junction, silicon nanowire Wire / metal Schottky junction, silicon nanowire array, titanium dioxide modified silicon nanowire array / graphene Schottky junction or gold nanopar...

Embodiment 2

[0034] The device involved in the method is the same as in Example 1, and the specific operations are carried out in the following steps:

[0035] a. A light source 2 is installed above the silicon-zinc oxide sensitive material of the sensor 1, and the light source 2 with a wavelength of 468nm irradiates the sensitive material;

[0036] b. Put the sensor 1 in the air, and at room temperature, turn on and off the light source 2 periodically at an interval of 1 ms and change the light intensity. The light intensity is 1 W / m 2 , 2W / m 2 , 3W / m 2 , 4W / m 2 , 5W / m 2 、6W / m 2 , measure the photocurrent of the silicon-zinc oxide sensitive material under different light intensities, and obtain the baseline current value;

[0037] c. Place the sensor 1 at room temperature respectively in trinitrotoluene (TNT), dinitrotoluene (DNT), picric acid (PA), RDX, pentaerythritol tetranitrate (PETN) and cyclotetraethylene In the saturated vapor of methyltetranitramine (HMX), by periodically t...

Embodiment 3

[0041] The device involved in the method is the same as in Example 1, and the specific operations are carried out in the following steps:

[0042] a. A laser light source 2 is installed above the titanium dioxide-modified silicon nanowire array / graphene Schottky junction sensitive material of the sensor 1, and the light source 2 has a wavelength of 532nm to irradiate the sensitive material;

[0043] b. Put the sensor 1 in the air, at room temperature, turn on and off the light source 2 periodically at an interval of 100ms and change the light intensity, the light intensity is 1W / m 2 , 2W / m 2 , 3W / m 2 , 4W / m 2 , 5W / m 2 、6W / m 2 , 7W / m 2 , 8W / m 2 , 9W / m 2 , 10W / m 2 , measure the photocurrent of titanium dioxide-modified silicon nanowire array / graphene Schottky junction sensitive material under different light intensities, and obtain the baseline current value;

[0044] c. Place the sensor 1 in the saturated vapor of black powder (BP), dinitrotoluene (DNT), picric acid (P...

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Abstract

The invention relates to a photoelectric response based method for identifying and detecting the vapor of an explosive. A device related to the method consists of a sensor, a light source, a power supply, an ampere meter, a signal processor and an alarm; the light source which can be periodically turned on and off and changed in light intensity is used for irradiating a single sensor with a quick photoelectric response; the change of a light current, which is caused as the vapor of the explosive is adsorbed on the surface of a sensitive material for the sensor is measured; the data processing is carried out through mode identification methods of principal component analysis, linear discriminant analysis, an artificial neural network and the like; a standard database of the responses of a sensor array to the vapor of explosives of different types is realized; through comparing the data processing result of a suspected explosive with the database, the purposes of identifying and detecting the vapor of the explosive is achieved finally. According to the method, by utilizing the photoelectric properties of the sensitive material, the structure of the sensor array is simplified while the detection limit is improved; the purpose of quickly identifying the explosive is realized by utilizing the sensitive gas-sensitive response and the quick photoelectric response of the sensitive material.

Description

technical field [0001] The invention relates to the field of explosive detection, in particular to a method for identifying and detecting explosive vapor based on photoelectric response. It specifically involves the use of light in a certain wavelength range to irradiate sensitive materials with fast photoelectric response. By periodically switching the light source and changing the light intensity, the photocurrent changes caused by the adsorption of explosive molecules on the sensor under different light intensities are measured. Principal component analysis, Pattern recognition methods such as linear discriminant analysis and artificial neural network are used for data processing to realize the standard database of the response of sensor arrays to different types of explosive vapors, and compare the established standard databases to detect and classify suspected trace explosive vapors. This method can simplify the sensor array structure while improving the detection limit, ...

Claims

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Application Information

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IPC IPC(8): G01N27/26G01N27/04G01N21/17
CPCG01N21/17G01N27/04G01N27/26
Inventor 窦新存郭林娟杨政祖佰祎
Owner XINJIANG TECHN INST OF PHYSICS & CHEM CHINESE ACAD OF SCI
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