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Biosystems Engineering
Volume 99, Issue 4, April 2008, Pages 461-468
 
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doi:10.1016/j.biosystemseng.2007.11.015    
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Copyright © 2007 IAgrE Published by Elsevier Ltd.

Research Paper: AE—Automation and Emerging Technologies

Sensitivity and specificity performance of a direct-charge transfer biosensor for detecting Bacillus cereus in selected food matrices

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Sudeshna Pala, Wendy Yingb, Evangelyn C. Alociljaa, Corresponding Author Contact Information, E-mail The Corresponding Author and Frances P. Downesc

aBiosystems and Agricultural Engineering, Michigan State University, East Lansing, MI 48824, USA

bHarvard University, MA, USA

cMichigan Department of Community Health, Lansing, MI 48906, USA


Received 14 March 2007; 
revised 20 November 2007; 
accepted 27 November 2007. 
Available online 11 January 2008.

A direct-charge transfer conductometric biosensor was developed for the detection of Bacillus cereus in various food samples in this study. The biosensor employed antibodies as the biological sensing elements and polyaniline (emeraldine salt) as transducers for detection. The biosensor used the principle of a sandwich immunoassay, combined with an electron charge flow aided through conductive polyaniline, to generate an electronic signal that was recorded by a data collection system. The biosensor architecture was based on the lateral capillary flow of a liquid sample. Polyaniline tagged with primary anti B. cereus antibodies were responsible for the first capture of the target pathogen followed by the formation of a sandwich complex with secondary antibodies functionalised on the biosensor surface. The biosensor was able to detect cell concentrations in the range of 35–88 CFU ml−1 in the food samples with a detection time of 6 min. The biosensor was found to be specific to the target pathogen in pure cultures of Bacillus megaterium and generic Escherichia coli. The speed, sensitivity and ease of use, of this biosensor make it a promising device for rapid field-based diagnosis toward the protection of the food supply chain.

Article Outline

1. Introduction
2. Materials and methods
2.1. Reagents
2.2. Bacterial isolates and antibodies
2.3. Biosensor preparation
2.4. Food sample preparation
2.5. Food sample testing
2.6. Signal detection
2.7.Statistical analysis
3. Results and discussion
4. Conclusion
Acknowledgements
References




Corresponding Author Contact InformationCorresponding author.

Biosystems Engineering
Volume 99, Issue 4, April 2008, Pages 461-468
 
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