SERS based point-of-care detection of food-borne pathogens

AbstractThe authors have developed a microfluidic platform for improved detection of pathogenic bacteria by using silver nanoparticles and new platforms for chemometric data analysis, viz. a combination of principle component analysis and linear discriminant analysis. The method can distinguish eight key foodborne pathogens (E. coli, S. typhimirium, S. enteritis, Pseudomonas aeruginosa, L. monocytogenes, L. innocua, MRSA 35 and MRSA 86) and, hence, holds good promise for use in the food industry. Graphical AbstractA microfluidic and surface-enhanced Raman scattering substrate integrated biosensing platform involving silver nanoparticles is demonstrated for rapid and on-site detection and discrimination of polymicrobial food-borne pathogenic bacteria.

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