Journal
MICROCHIMICA ACTA
Volume 183, Issue 2, Pages 697-707Publisher
SPRINGER WIEN
DOI: 10.1007/s00604-015-1698-y
Keywords
Microfluidics; Food safety; Food analysis; Principle component analysis; Linear discriminant analysis; Silver nanoparticles; Raman spectroscopy
Categories
Funding
- Natural Sciences and Engineering Research Council of Canada [4009929]
- Mitacs Globalink Program
- Ontario Ministry of Research and Innovation [520512]
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available
Share Paper
