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International Journal of Energetic Materials and Chemical Propulsion

Publication de 6  numéros par an

ISSN Imprimer: 2150-766X

ISSN En ligne: 2150-7678

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THE EFFECT OF THE HIGH EFFICIENCY OF LASER DETECTION OF OBJECTS CONTAINING EXPLOSIVES BY SOLID TRACES DETECTION COMPARED TO VAPORS DETECTION

Volume 19, Numéro 4, 2020, pp. 319-327
DOI: 10.1615/IntJEnergeticMaterialsChemProp.2020034413
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RÉSUMÉ

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 gas-analytical 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.

RÉFÉRENCES
  1. Baldin, M.N., Bobrovnikov, S.M., Vorozhtsov, A.B., Gorlov, E.V., Gruznov, V.M., Zharkov, V.I., Panchenko, Y.N., Pryamov, M.V., and Sakovich, G.V., (2019) Effectiveness of Combined Laser and Gas Chromatographic Remote Detection of Traces of Explosives, Atmos. Ocean. Opt., 32(2), pp. 227-233.

  2. Baldin, M.N. and Gruznov, V.M., (2013) Portable Gas Chromatograph with Air as a Carrier Gas for Detecting Traces of Explosives, J. Anal. Chem., 68(11), pp. 1117-1122.

  3. Bobrovnikov, S.M., Gorlov, E.V., Zharkov, V.I., Panchenko, Y.N., Aksenov, V.A., Kikhtenko, A.V., and Tivileva, M.I., (2014) Remote Detector of Explosive Traces, Proc. SPIE-Int. Soc. Opt. Eng., 9292, pp. 92922G-1-4.

  4. Bobrovnikov, S.M., Gorlov, E.V., Zharkov, V.I., and Panchenko, Y.N., (2015) Remote Detection of Traces of High Energetic Materials, Proc. SPIE, 9680, pp. 96803J-1-4.

  5. GE Security, (2017) "VaporTracer2" Portable Contraband Detector, accessed May 2017, from https://iq100968720.fm.alibaba.com/product/124035765-0/VaporJTracer2.html.

  6. Gruznov, V.M., Baldin, M.N., Makas, A.L., and Titov, B.G., (2011) Progress in Methods for the Identification of Explosives in Russia, j. Anal. Chem, 66(11), pp. 1121-1131.

  7. Gruznov, V.M., Baldin, M.N., Pryamov, M.V., and Maksimov, E.M., (2017) Determination of Explosive Vapor Concentrations with Remote Sampling in the Control of Objects, j. Anal. Chem, 72(11), pp. 1155-1160.

  8. Khan, S.M., Polski, P.A., Robbins, C.E., Boubli, B.B., Doney, R.H., Redman, R., Morvan, P., Gozani, T., Bartko, J., and Syme, D.B., (1992) Proc. of the First International Symposium on Explosive Detection Technology.

  9. LAVANDA-U, (2014) Pilot-M Detector based on Field-Asymmetric Ion Mobility Spectrometry, accessed February 24, 2020, from https://videoglaz.ru/detektory-vzryvchatyh-veschestv/pilot/detektor-pilot-m-rossiya.

  10. Lovett, S., (1992) Explosives Search Dogs, Proc. of 1st Int. Simp. on Explosive Detection Technology, Atlantic City, NJ, November 13-15, pp. 774-775.

  11. Moore, D.S., (2007) Recent Advances in Trace Explosives Detection Instrumentation, Sens. Imaging Int. j, 8(1), pp. 9-38.

  12. Nabiev, S.S. and Palkina, L.A., (2017) Modern Technologies for Detection and Identification of Explosive Agents and Devices, Russ. j. Phys. Chem. B, 11, pp. 729-776.

  13. Nambayah, M. and Quickenden, T.I., (2004) A Quantitative Assessment of Chemical Techniques for Detecting Traces of Explosives at Counter-Terrorist Portals, Talanta, 63(2), pp. 461-467.

  14. Pellegrino, P.M., Holthoff, E.L., and Farrell, M.E., (2015) Laser-Based Optical Detection of Explosives, Boca Raton, FL: CRC Press.

  15. Singh, S., (2007) Sensors-An Effective Approach for the Detection of Explosives, j. Haz. Mater., 144(1-2), pp. 15-28.

  16. Skvortsov, L.A., (2012) Laser Methods for Detecting Explosive Residues on Surfaces of Distant Objects, Quantum Electr., 42(1), pp. 1-11.

  17. Smiths Detection, (2004) Sabre 4000 Detector based on Ion Mobility Spectrometry, accessed February 24, 2020, from http://www.nero.ru/goods71.html.

  18. Weinstein, S., Weinstein, C., and Drozdenko, R., (1992) The Challenge of Biodetection for Screening Persons Carrying Explosives, Proc. of 1st Int. Simp. on Explosive Detection Technology, Atlantic City, NJ, November 13-15, pp. 759-769.

  19. Yinon, K., (2007) Counterterrorist Detection Techniques of Explosives, Tech. Rep. 10.1016/B978-0-444-52204-7.X5017-2.

  20. Yuzhpolymetal-Holding, (2017) Kerber Detector based on Ion Mobility Spectrometry, accessed February 23,2020, from http://www.analizator.ru/production/ims/kerber-st/.

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