Journal
BIOSENSORS & BIOELECTRONICS
Volume 24, Issue 6, Pages 1685-1692Publisher
ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2008.08.053
Keywords
Light scatterometer; Bacterial detection; Classification; Food; Clinical specimen
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Funding
- Agriculture Research Service of the US Department of Agriculture project [1935-42000-035]
- Center for Food Safety Engineering at Purdue University
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Technologies for rapid detection and classification of bacterial pathogens are crucial for securing the food supply. This report describes a light-scattering sensor capable of real-time detection and identification of colonies of multiple pathogens without the need for a labeling reagent or biochemical processing. Bacterial colonies consisting of the progeny of a single parent cell scatter light at 635 nm to produce unique forward-scatter signatures. Zernike moment invariants and Haralick descriptors aid in feature extraction and construction of the scatter-signature image library. The method is able to distinguish bacterial cultures at the genus and species level for Listeria, Staphylococcus, Salmonella, Vibrio, and Escherichia with an accuracy of 90-99% for samples derived from food or experimentally infected animal. Varied amounts of exopolysaccharide produced by the bacteria causes changes in phase modulation distributions, resulting in strikingly different scatter signatures. With the aid of a robust database the method can potentially detect and identify any bacteria colony essentially instantaneously. Unlike other methods, it does not destroy the sample, but leaves it intact for other confirmatory testing, if needed, for forensic or outbreak investigations. (C) 2008 Elsevier B.V. All rights reserved.
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