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Proceedings Paper

Infrared reflectance characterization of ammonium nitrate residue on roughened aluminum for potential bioinspired stand-off sensor
Author(s): Thomas C. Hutchens; Christopher R. Wilson; Matthew G. Potter; Menelaos K. Poutous; Kevin J. Major; Kenneth J. Ewing; Jasbinder S. Sanghera; Ishwar D. Aggarwal
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Paper Abstract

Detection of explosives on surfaces could potentially be achieved using handheld standoff optical sensors, providing rapid intelligence and safety to the warfighter or first responder. Recent work has shown the capability to discriminate various chemical vapors using a bioinspired or biomimetic detection system modeled on human color vision. This biomimetic system utilizes three overlapping broadband infrared optical filters to discriminate between various chemicals. Preliminary reflectance data of chemicals on surfaces indicate a capability for discrimination of target chemicals and interferents by analysis of biomimetic sensor output using novel analytical methods such as “Comparative Discrimination Spectral Detection” (CDSD). Transitioning this detection method to threats on surfaces at proximate standoff distances (~1 m) requires additional considerations including surface characteristics and angle of detection. This work explores sensor detection parameters for ammonium nitrate residue on aluminum surfaces of various roughnesses. Samples of the explosives component ammonium nitrate, NH4NO3, diluted at 10%, 5%, and 1% in DI water, were prepared by dropcasting onto aluminum coupons with four surface finishes: polished, brushed, extruded, and sandblasted. Surface roughnesses were measured. Single beam reflectance spectra (2 – 20 μm) were collected using a FTIR spectrometer over multiple independent angles of incidence and collection (15° - 80°). Multiple factors were analyzed including albedo, and potential sensor configurations. Characteristics for future MWIR and LWIR sensors, such as illumination power and detector sensitivity, are evaluated which enable chemical spectral identification across range of aluminum surface roughness for proximate standoff distances and different angles of incidence.

Paper Details

Date Published: 17 May 2019
PDF: 13 pages
Proc. SPIE 11010, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XX, 1101018 (17 May 2019); doi: 10.1117/12.2519110
Show Author Affiliations
Thomas C. Hutchens, The Univ. of North Carolina at Charlotte (United States)
Christopher R. Wilson, The Univ. of North Carolina at Charlotte (United States)
Matthew G. Potter, The Univ. of North Carolina at Charlotte (United States)
Menelaos K. Poutous, The Univ. of North Carolina at Charlotte (United States)
Kevin J. Major, U.S. Naval Research Lab. (United States)
Kenneth J. Ewing, U.S. Naval Research Lab. (United States)
Jasbinder S. Sanghera, U.S. Naval Research Lab. (United States)
Ishwar D. Aggarwal, The Univ. of North Carolina at Charlotte (United States)
KeyW Corp. (United States)

Published in SPIE Proceedings Vol. 11010:
Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XX
Jason A. Guicheteau; Chris R. Howle, Editor(s)

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