ABSTRACT
Objective To develop an up-converting phosphor technology based lateral flow (UPT-LF) assay for rapid detection of Salmonella paratyphi A, S.paratyphi B, Escherichia coli O157 ∶H7 and Vibrio parahaemolyticus. Methods With up-converting phosphor nano-particles ( UCP-NPs ) as the bio-marker, four double-antibody-sandwich mode based UPT-LF strips for detecting the above mentioned four pathogens were prepared respectively and their sensitivi-ty, accuracy, linearity and specificity were evaluated .Furthermore, the feasibility of detecting bacteria in food samples was evaluated by different food samples artificially contaminated with less than 10 CFU target pathogens .Results The sensitivi-ty of UPT-LF assays for four pathogens was 105 ~106 CFU/ml with excellent specificity .The four strips had a good linear response with the linear fitting coefficient of determination (r) for each target pathogen ranging from 0.985 to 0.996.The positive rate of detecting pathogens from samples was acceptable .Conclusion The four developed UPT-LF strips provide a new choice for rapid , specific and sensitive and quantitative detection of S.paratyphi A , S.paratyphi B, E.coli O157∶H7 and V.parahemolyticus.
ABSTRACT
Objective To set up an onsite protocol for abrupt emergencies of public health e-vents, with both the sensitivity and accuracy of the lab-on-chip(microfluidic chip), for the detection of food borne pathogenic bacterium including Vibrio cholera , Salmonella , Vibrio parahaemolyticus and Shigellaare exanimated . [ Methods] By comparison of the results from the chips and fluorescence quantitative PCR were analyzed the specificity , sensitivity, accuracy and repeatability of the Lab-on-chip. [ Results] Acceptable specificity , accuracy and repeatability of the chips had been well achieved , the detection limit of the chips for the Vibrio cholera , Salmonella, Vibrio parahaemolyticus and Shigella was 5 ×103 ~103 DNA Copies/mL. [ Conclusion] Lab-on-chip is believed to be a fast , convenient , efficient tool with accept-able accuracy for public health emergencies .