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SERS based Point-of-care Biosensing System for Food-borne Pathogen Detection

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Title: SERS based Point-of-care Biosensing System for Food-borne Pathogen Detection
Author: Mungroo, Nawfal Adam
Department: School of Engineering
Program: Engineering
Advisor: Neethirajan, Suresh
Abstract: Foodborne illnesses are ubiquitous and life-threatening. The number and severity of foodborne outbreaks could be significantly reduced by the early detection of pathogenic species during food processing and handling. However, most techniques that detect pathogenic species are time-consuming, costly, and impractical for use at agricultural sites. Therefore, it is imperative that onsite technology capable of rapidly and cost-effectively detecting and differentiating pathogenic species be developed. Biosensors are one approach that might meet these goals. No current biosensor can faithfully differentiate pathogenic species within the food industry, although Surface Enhanced Raman Spectroscopy (SERS) shows potential for bacterial detection. To overcome current limitations in detection, we have developed a microfluidic platform and a protocol that enhances pathogenic bacterial species detection using silver nanoparticles and new chemometric data analysis platforms utilizing a combination of principle component analysis and linear discriminant analysis. Our procedure can successfully distinguish eight key foodborne pathogens (E. coli, S. typhimirium, S. enteritis, Pseudomonas aeruginosa, L. monocytogenes, L. innocua, MRSA 35 and MRSA 86), which holds great promise for the food industry
Date: 2015-10
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