Standoff detection: classification of biological aerosols using laser induced fluorescence (LIF) technique

Anita Hausmann; Frank Duschek; Thomas Fischbach; Carsten Pargmann; Valeri Aleksejev; Larisa Poryvkina; Innokenti Sobolev; Sergey Babichenko; Jürgen Handke

doi:10.1117/12.2049923

29 May 2014 Standoff detection: classification of biological aerosols using laser induced fluorescence (LIF) technique

Anita Hausmann, Frank Duschek, Thomas Fischbach, Carsten Pargmann, Valeri Aleksejev, Larisa Poryvkina, Innokenti Sobolev, Sergey Babichenko, Jürgen Handke

Author Affiliations +

Proceedings Volume 9073, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XV; 90730Z (2014) https://doi.org/10.1117/12.2049923
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

Abstract

The challenges of detecting hazardous biological materials are manifold: Such material has to be discriminated from other substances in various natural surroundings. The detection sensitivity should be extremely high. As living material may reproduce itself, already one single bacterium may represent a high risk. Of course, identification should be quite fast with a low false alarm rate. Up to now, there is no single technique to solve this problem. Point sensors may collect material and identify it, but the problems of fast identification and especially of appropriate positioning of local collectors are sophisticated. On the other hand, laser based standoff detection may instantaneously provide the information of some accidental spillage of material by detecting the generated thin cloud. LIF technique may classify but hardly identify the substance. A solution can be the use of LIF technique in a first step to collect primary data and – if necessary- followed by utilizing these data for an optimized positioning of point sensors. We perform studies on an open air laser test range at distances between 20 and 135 m applying LIF technique to detect and classify aerosols. In order to employ LIF capability, we use a laser source emitting two wavelengths alternatively, 280 and 355 nm, respectively. Moreover, the time dependence of fluorescence spectra is recorded by a gated intensified CCD camera. Signal processing is performed by dedicated software for spectral pattern recognition. The direct comparison of all results leads to a basic classification of the various compounds.

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Anita Hausmann, Frank Duschek, Thomas Fischbach, Carsten Pargmann, Valeri Aleksejev, Larisa Poryvkina, Innokenti Sobolev, Sergey Babichenko, and Jürgen Handke "Standoff detection: classification of biological aerosols using laser induced fluorescence (LIF) technique", Proc. SPIE 9073, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XV, 90730Z (29 May 2014); https://doi.org/10.1117/12.2049923

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