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Proceedings Paper

Detection of E. coli O157:H7 in complex matrices under varying flow parameters with a robotic fluorometric assay system
Author(s): Stephaney D. Leskinen; Sarah M. Schlemmer; Elizabeth A. Kearns; Daniel V. Lim
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Paper Abstract

The development of rapid assays for detection of microbial pathogens in complex matrices is needed to protect public health due to continued outbreaks of disease from contaminated foods and water. An Escherichia coli O157:H7 detection assay was designed using a robotic, fluorometric assay system. The system integrates optics, fluidics, robotics and software for the detection of foodborne pathogens or toxins in as many as four samples simultaneously. It utilizes disposable fiber optic waveguides coated with biotinylated antibodies for capture of target analytes from complex sample matrices. Computer-controlled rotation of sample cups allows complete contact between the sample and the waveguide. Detection occurs via binding of a fluorophore-labeled antibody to the captured target, which leads to an increase in the fluorescence signal. Assays are completed within twenty-five minutes. Sample matrices included buffer, retentate (material recovered from the filter of the Automated Concentration System (ACS) following hollow fiber ultrafiltration), spinach wash and ground beef. The matrices were spiked with E. coli O157:H7 (103-105 cells/ml) and the limits of detection were determined. The effect of sample rotation on assay sensitivity was also examined. Rotation parameters for each sample matrix included 10 ml with rotation, 5 ml with rotation and 0.1 ml without rotation. Detection occurred at 104 cells/ml in buffer and spinach wash and at 105 cells/ml in retentate and ground beef. Detection was greater for rotated samples in each matrix except ground beef. Enhanced detection of E. coli from large, rotated volumes of complex matrices was confirmed.

Paper Details

Date Published: 19 February 2009
PDF: 10 pages
Proc. SPIE 7167, Frontiers in Pathogen Detection: From Nanosensors to Systems, 71670J (19 February 2009); doi: 10.1117/12.807830
Show Author Affiliations
Stephaney D. Leskinen, Univ. of South Florida (United States)
Sarah M. Schlemmer, Univ. of South Florida (United States)
Elizabeth A. Kearns, Univ. of South Florida (United States)
Daniel V. Lim, Univ. of South Florida (United States)

Published in SPIE Proceedings Vol. 7167:
Frontiers in Pathogen Detection: From Nanosensors to Systems
Philippe M. Fauchet, Editor(s)

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