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Trace aerosol detection and identification by dynamic photoacoustic spectroscopy

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Abstract

Dynamic photoacoustic spectroscopy (DPAS) is a high sensitivity technique for standoff detection of trace vapors. A field-portable DPAS system has potential as an early warning provider for gaseous-based chemical threats. For the first time, we utilize DPAS to successfully detect the presence of trace aerosols. Aerosol identification via long-wavelength infrared (LWIR) spectra is demonstrated. We estimate the sensitivity of our DPAS system to aerosols comprised of silica particles is comparable to that of SF6 gas based on a signal level per absorbance unit metric for the two materials. The implications of these measurements are discussed.

© 2014 Optical Society of America

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Figures (5)

Fig. 1
Fig. 1 Experimental setup of the DPAS system and aerosol chamber.
Fig. 2
Fig. 2 DPAS detection of Syloid 244 aerosol. (a) waterfall plot of DPAS signal. (b) resonance curves for Syloid 244 aerosol and SF6 gas. (c) a comparison of the temporal waveforms produced by Syloid 244 (aerosol), SiO2 spheres (aerosol), and MeOH, SF6 (gases). Resonance curves and temporal waveforms have been normalized to demonstrate the similarities in waveform.
Fig. 3
Fig. 3 DPAS spectrum of methanol vapor (top) and Syloid 244 aerosol (bottom).
Fig. 4
Fig. 4 Particle concentration data during a release of 0.39 um silica spheres. Net particle concentration (top) and aerosol size distribution (bottom) are displayed versus time.
Fig. 5
Fig. 5 DPAS signal versus absorbance for SiO2 aerosols (λ = 9.24 μm) and SF6 gas (λ = 10.591 μm).

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