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Proceedings Paper

Characterising single airborne particles by fluorescence emission and spatial analysis of elastic scattered light
Author(s): Virginia E. Foot; James M. Clark; Karen L. Baxter; Natasha Close
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Paper Abstract

The use of intrinsic fluorescence to characterise airborne particles is often applied to the detection of biological materials, particularly micro-organisms. However, as a number of particles which are found in the atmosphere also fluoresce (whether natural or artificially generated), simple measures of particle fluorescence alone may not be sufficient to indicate the presence of biological agents in the atmosphere. An instrument has been developed for the real-time measurement of aerosols using UV induced fluorescence emission and elastic scattered light to characterise individual particles in terms of size, shape and fluorescence. Particles are detected as they scatter light from a CW red laser beam, which triggers a pulse of 266nm radiation to induce fluorescence. Elastic scatter from the red laser beam is used to measure particle size and shape parameters, and total fluorescence between ~300 to 500nm is collected. The performance of the instrument has been investigated in laboratory tests and field trials, using a range of biological agent simulants and interferents. An automated classification technique has been applied to assess the ability of the instrument to recognise potential threats against the natural background environment.

Paper Details

Date Published: 29 December 2004
PDF: 8 pages
Proc. SPIE 5617, Optically Based Biological and Chemical Sensing for Defence, (29 December 2004); doi: 10.1117/12.578198
Show Author Affiliations
Virginia E. Foot, Defence Science and Technology Lab. (United Kingdom)
James M. Clark, Defence Science and Technology Lab. (United Kingdom)
Karen L. Baxter, Defence Science and Technology Lab. (United Kingdom)
Natasha Close, Defence Science and Technology Lab. (United Kingdom)

Published in SPIE Proceedings Vol. 5617:
Optically Based Biological and Chemical Sensing for Defence
John C. Carrano; Arturas Zukauskas, Editor(s)

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