Long-wave infrared scattering spectra and modeling of trace particles on surfaces for standoff detection
| Autor: | Kaiwen Guo, Ramon A. Martinez, Tianqu Zhai, Fred L. Terry, Agustin I. Ifarraguerri, Mohammed N. Islam |
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| Rok vydání: | 2020 |
| Předmět: |
010302 applied physics
Materials science Silicon business.industry Scattering General Physics and Astronomy chemistry.chemical_element 02 engineering and technology Substrate (electronics) 021001 nanoscience & nanotechnology 01 natural sciences Spectral line Supercontinuum Optics chemistry Aluminium 0103 physical sciences Particle Fourier transform infrared spectroscopy 0210 nano-technology business |
| Zdroj: | Journal of Applied Physics. 127:243103 |
| ISSN: | 1089-7550 0021-8979 |
| DOI: | 10.1063/5.0009463 |
| Popis: | We experimentally measure the scattered reflectance of particles deposited on smooth substrates with a mid-wave to long-wave supercontinuum source and a FTIR based sensor at 3.6 m. We measure the scattering return from sparse particles of 1,3,5-Trinitroperhydro-1,3,5-triazine, caffeine, and acetaminophen deposited on smooth aluminum, silicon, and glass substrates. We also measure mono-disperse 5.4, 10.8, and 19.4 μm diameter polystyrene spheres deposited on aluminum. We demonstrate that spectra obtained using our supercontinuum FTIR sensor can be accurately simulated using a Bobbert–Vlieger model, and non-spherical particle spectra can be approximated by spherical results. The Bobbert–Vlieger model can then be used to create a library that can account for the trace chemical and underlying substrate for standoff chemical identification. |
| Databáze: | OpenAIRE |
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