Standoff Imaging of Trace RDX Using Quantum Cascade Lasers

Datskos, Panos G.; Morales-Rodriguez, Marissa E.; Senesac, Larry R.

doi:10.1109/JSEN.2019.2940883

Title: Standoff Imaging of Trace RDX Using Quantum Cascade Lasers

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Abstract

We report on a standoff spectroscopic technique for detecting chemical residues on surfaces. An infrared (IR) camera was used in combination with a wavelength tunable mid-IR quantum cascade laser to acquire multispectral image arrays of a surface with explosive residue. IR spectral signatures of residue of cyclotrimethylenetrinitramine (commonly known as RDX) were extracted in the wavelength range 7.9 to 9.7 μm from the multispectral IR images. Detection of RDX was achieved for a lower surface concentration of 5 μg cm ^–2 and a higher surface concentration of 20 μg cm ^–2 at distances of 0.15 m and 1.5 m, respectively. We performed no background subtraction and the resulting IR spectra of RDX were compared with reference Fourier Transform IR Spectroscopy data that were acquired by placing 20 μg of RDX on a ZnS window. As a result, we found that the detection of RDX can be made with negligible interfering contribution of reflected IR photons from the substrate surface.

Authors:

^[1];

^[2]; Senesac, Larry R. ^[2]

National Renewable Energy Lab. (NREL), Golden, CO (United States)
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Publication Date:: 2020-01-01

Research Org.:: National Renewable Energy Lab. (NREL), Golden, CO (United States)

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)

OSTI Identifier:: 1580026

Report Number(s):: NREL/JA-4A00-73448
Journal ID: ISSN 1530-437X; TRN: US2102252

Grant/Contract Number:: AC36-08GO28308

Resource Type:: Accepted Manuscript

Journal Name:: IEEE Sensors Journal

Additional Journal Information:: Journal Volume: 20; Journal Issue: 1; Journal ID: ISSN 1530-437X

Publisher:: IEEE

Country of Publication:: United States

Language:: English

Subject:: 36 MATERIALS SCIENCE; 75 CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY; IR spectroscopy; chemical detection; multispectral imaging

Citation Formats


                    Datskos, Panos G., Morales-Rodriguez, Marissa E., and Senesac, Larry R. Standoff Imaging of Trace RDX Using Quantum Cascade Lasers.  United States: N. p., 2020. 
Web.  doi:10.1109/JSEN.2019.2940883.

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                    Datskos, Panos G., Morales-Rodriguez, Marissa E., & Senesac, Larry R. Standoff Imaging of Trace RDX Using Quantum Cascade Lasers.  United States.  https://doi.org/10.1109/JSEN.2019.2940883

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                    Datskos, Panos G., Morales-Rodriguez, Marissa E., and Senesac, Larry R. Wed .  
"Standoff Imaging of Trace RDX Using Quantum Cascade Lasers".  United States.  https://doi.org/10.1109/JSEN.2019.2940883.  https://www.osti.gov/servlets/purl/1580026.

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@article{osti_1580026,

  title        = {Standoff Imaging of Trace RDX Using Quantum Cascade Lasers},

  author       = {Datskos, Panos G. and Morales-Rodriguez, Marissa E. and Senesac, Larry R.},

  abstractNote = {We report on a standoff spectroscopic technique for detecting chemical residues on surfaces. An infrared (IR) camera was used in combination with a wavelength tunable mid-IR quantum cascade laser to acquire multispectral image arrays of a surface with explosive residue. IR spectral signatures of residue of cyclotrimethylenetrinitramine (commonly known as RDX) were extracted in the wavelength range 7.9 to 9.7 μm from the multispectral IR images. Detection of RDX was achieved for a lower surface concentration of 5 μg cm –2 and a higher surface concentration of 20 μg cm –2 at distances of 0.15 m and 1.5 m, respectively. We performed no background subtraction and the resulting IR spectra of RDX were compared with reference Fourier Transform IR Spectroscopy data that were acquired by placing 20 μg of RDX on a ZnS window. As a result, we found that the detection of RDX can be made with negligible interfering contribution of reflected IR photons from the substrate surface.},

  doi          = {10.1109/JSEN.2019.2940883},

  journal      = {IEEE Sensors Journal},

  number       = 1,

  volume       = 20,

  place        = {United States},

  year         = {2020},

  month        = {1}

}

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