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Proceedings Paper

Feasibility of identification and classification of microorganisms using a combined FFFF/spectroscopy system
Author(s): Xiaojuan Fu; Luis H. Garcia-Rubio
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Paper Abstract

This paper reports on the progress made towards the implementation of a novel micron and sub-micron particle characterization technology for in-situ, continuous monitoring and detecting of microorganisms in water. The particle technology focuses on characterizing the joint particle property distribution (size, shape, and composition). The experimental set up includes two parts: a separation methodology based on Flow Field-flow Fractionation (FFFF); and a detection system consisting of a UV-vis spectrometer coupled with an optical wave guide and a multi-angle laser light scattering (MALLS) photometer. FFFF is used because it separates partiôles based on particle volume, which eliminates one variable. The UV-vis /optical waveguide constitutes the primary detection system, while the multi-angle laser light scattering photometer is used for the purpose of validation. UV-vis spectroscopy has been shown to be capable of detecting the chemical composition and size distribution for particles in the size range of 50 nm — 10 ?m. The UV-vis absorption patterns of microorganisms of interest strongly suggest the possibility of a two way (size and spectral signature) identification and classification of pathogens in water. It is evident that this methodology has the potential for continuous monitoring applications. Transmission measurements coupled with the liquid core waveguide (LCW) enables detection at very low concentration consistent with typical eluent concentration from the FFFF. In this paper it is shown that the combined system (FFFF-MALLS-UV-vis- LCW) can provide, in a matter of minutes, the spectra and size distribution of waterbome microorganisms for on-line identification and classification.

Paper Details

Date Published: 13 March 2001
PDF: 11 pages
Proc. SPIE 4206, Photonic Detection and Intervention Technologies for Safe Food, (13 March 2001); doi: 10.1117/12.418744
Show Author Affiliations
Xiaojuan Fu, Univ. of South Florida (United States)
Luis H. Garcia-Rubio, Univ. of South Florida (United States)


Published in SPIE Proceedings Vol. 4206:
Photonic Detection and Intervention Technologies for Safe Food
Yud-Ren Chen; Shu-I Tu, Editor(s)

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