Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
The effect of the high efficiency of laser detection of objects containing explosives by solid traces detection compared to vapors detection. / Gruznov, V. M.; Bobrovnikov, S. M.; Baldin, M. N. и др.
в: International Journal of Energetic Materials and Chemical Propulsion, Том 19, № 4, 2020, стр. 319-327.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - The effect of the high efficiency of laser detection of objects containing explosives by solid traces detection compared to vapors detection
AU - Gruznov, V. M.
AU - Bobrovnikov, S. M.
AU - Baldin, M. N.
AU - Gorlov, E. V.
AU - Vorozhtsov, A. B.
AU - Tivileva, M. I.
PY - 2020
Y1 - 2020
N2 - Detection of objects containing explosives by vapor traces on the surface of objects is highly effective in antiterrorism control. To date, the threshold for detecting the concentration of explosive vapors by gas-analytical sampling devices at the level of 10−14 g/cm3 has been reached. With laser methods, the threshold for detecting the surface concentration of microparticles at the level of ng/cm2 has been reached. An experimental simultaneous comparison of the effectiveness of methods for detecting objects containing explosives is provided; that is, remote laser detection of microparticles and gasanalytical sampling of vapors. A multicapillary gas chromatograph and a laser detector based on photofragmentation/laser-induced fluorescence of NO fragments of explosive molecules were used. For the first time, detection by two methods was carried out simultaneously and under the same conditions. Simulants of TNT, RDX, and PETN were used. It is shown that vapors on the surfaces of low-volatile explosives such as RDX and PETN are not detected by the gas chromatograph, but microparticles of these substances are confidently detected by a laser detector. Thus, the higher efficiency of the remote laser method for detecting microparticles of low-volatile explosives is experimentally confirmed in comparison with the detection of vapours by sampling method.
AB - Detection of objects containing explosives by vapor traces on the surface of objects is highly effective in antiterrorism control. To date, the threshold for detecting the concentration of explosive vapors by gas-analytical sampling devices at the level of 10−14 g/cm3 has been reached. With laser methods, the threshold for detecting the surface concentration of microparticles at the level of ng/cm2 has been reached. An experimental simultaneous comparison of the effectiveness of methods for detecting objects containing explosives is provided; that is, remote laser detection of microparticles and gasanalytical sampling of vapors. A multicapillary gas chromatograph and a laser detector based on photofragmentation/laser-induced fluorescence of NO fragments of explosive molecules were used. For the first time, detection by two methods was carried out simultaneously and under the same conditions. Simulants of TNT, RDX, and PETN were used. It is shown that vapors on the surfaces of low-volatile explosives such as RDX and PETN are not detected by the gas chromatograph, but microparticles of these substances are confidently detected by a laser detector. Thus, the higher efficiency of the remote laser method for detecting microparticles of low-volatile explosives is experimentally confirmed in comparison with the detection of vapours by sampling method.
KW - Detection of traces of explosives
KW - Lidar trace detection
KW - Solid traces of explosives
KW - Vapor traces of explosives
UR - http://www.scopus.com/inward/record.url?scp=85092156824&partnerID=8YFLogxK
U2 - 10.1615/IntJEnergeticMaterialsChemProp.2020034413
DO - 10.1615/IntJEnergeticMaterialsChemProp.2020034413
M3 - Article
AN - SCOPUS:85092156824
VL - 19
SP - 319
EP - 327
JO - International Journal of Energetic Materials and Chemical Propulsion
JF - International Journal of Energetic Materials and Chemical Propulsion
SN - 2150-766X
IS - 4
ER -
ID: 25676148