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SERS based point-of-care detection of food-borne pathogens
閱讀：231 發(fā)布時(shí)間：2017-4-27
作者： Nawfal Adam Mungroo,Gustavo Oliveira,Suresh Neethirajan
Bionano Laboratory, School of EngineeringUniversity of GuelphGuelphCanada
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.
關(guān)鍵詞：MicrofluidicsFood safetyFood analysisPrinciple component analysisLinear discriminant analysisSilver nanoparticlesRaman spectroscopy