Detection of chemicals in mixed, two-dimensional Raman spectra

David Gillis; Jacob Grun; Jeffrey Bowles; Robert Lunsford; Sergei Nikitin; Charles Manka

doi:10.1117/12.850253

5 May 2010 Detection of chemicals in mixed, two-dimensional Raman spectra

David Gillis, Jacob Grun, Jeffrey Bowles, Robert Lunsford, Sergei Nikitin, Charles Manka

Proceedings Volume 7665, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XI; 76651D (2010) https://doi.org/10.1117/12.850253
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

Recently, researchers at the Naval Research Laboratory have developed the SWORrD system for measuring two-dimensional Raman Spectra. The device consists of a tunable 2d ultraviolet laser that illuminates the sample at various wavelengths (210-300 nm) and collects a single Raman spectrum at each laser wavelength. The single spectra are combined to form a two-dimensional spectrum (laser wavelength by scattered wavenumber). In this paper we introduce a novel method for the detection of known agents ('targets') within measured 2d spectra. Our method is bases on 'linear mixed pixel' techniques from hyperspectral imagery; in particular, we generalize the Adaptive Subspace Detector (ASD) to a form suitable for SWORrD samples. Our detector uses the individual laser runs to define a set of points within wavenumber space; the set of points corresponding to a 2d spectra defines a particular subspace that contains each material. These subspaces are then used with ASD to identify targets. We include experimental results using real-world data to illustrate our results.

Citation Download Citation

David Gillis, Jacob Grun, Jeffrey Bowles, Robert Lunsford, Sergei Nikitin, and Charles Manka "Detection of chemicals in mixed, two-dimensional Raman spectra", Proc. SPIE 7665, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XI, 76651D (5 May 2010); https://doi.org/10.1117/12.850253

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KEYWORDS

Sensors

Target detection

Detection and tracking algorithms

Bioalcohols

Raman spectroscopy

Statistical modeling

Liquids

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