Paper
14 May 2018 A system for rapid chemical identification based on infrared signatures
Author Affiliations +
Abstract
We are developing a cart-mounted platform for standoff chemical detection technologies based on active broadband infrared imaging spectroscopy. This approach leverages IR quantum cascade lasers, tuned through signature absorption bands (6-11 microns) of the target analytes while illuminating a surface area of interest. An IR focal plane array captures the time-dependent surface response. The image stream forms a hyperspectral image cube comprised of spatial and spectral dimensions as vectors within a detection algorithm. Our current emphasis is on rapid screening. We present the results of recent adaptations of the platform for infrared backscatter imaging spectroscopy (IBIS). Using the mobile platform, we demonstrate standoff detection of trace analytes deposited by sieving onto substrates. We have previously demonstrated standoff trace detection at several meters indoors and in field tests, while operating the lasers below the eye-safe intensity limit (100 mW/cm2). Sensitivity to explosive traces as small as a single grain (~1 ng) has been demonstrated.
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Christopher J. Breshike, Christopher A. Kendziora, Robert Furstenberg, Viet Nguyen, Andrew Kusterbeck, and R. Andrew McGill "A system for rapid chemical identification based on infrared signatures", Proc. SPIE 10639, Micro- and Nanotechnology Sensors, Systems, and Applications X, 1063927 (14 May 2018); https://doi.org/10.1117/12.2304435
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Cited by 2 scholarly publications.
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KEYWORDS
Backscatter

FT-IR spectroscopy

Quantum cascade lasers

Particles

Infrared imaging

Image processing

Mirrors

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