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

被引：0
作者：
Nawfal Adam Mungroo
Gustavo Oliveira
Suresh Neethirajan
机构：
[1] University of Guelph,Bionano Laboratory, School of Engineering
来源：
Microchimica Acta | 2016年 / 183卷
关键词：
Microfluidics; Food safety; Food analysis; Principle component analysis; Linear discriminant analysis; Silver nanoparticles; Raman spectroscopy;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
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页码：697 / 707
页数：10
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