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

 Nawfal Adam Mungroo & Gustavo Oliveira & Suresh Neethirajan

Abstract

The 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.

Keywords    Microfluidics . Food safety . Food analysis . Principle component analysis . Linear discriminant analysis . Silver nanoparticles . Raman spectroscopy

Mungroo, N., G. Oliveira, S. Neethirajan. 2015. SERS based point-of-care detection of food-borne pathogens. Microchimica acta.  doi: 10.1007/s00604-015-1698-y   (link)