Discrimination of Different Foodborne Pathogens onto Carbohydrate Microarrays Using Surface Plasmon Resonance Imaging

Food safety is a public health challenge. Devices allowing early, fast, label-free and in situ detection of bacteria are of great interest to prevent outbreaks. Listeria monocytogenes, Salmonella spp. and Escherichia coli O157:H7 are foodborne pathogens which were responsible of 60% of the hospitalizations in the USA in 2011. In this study, we conceived a carbohydrate microarray in order to detect and discriminate these three food pathogenic bacteria. In less than 10 hours, from an initial bacterial suspension of 100 bacteria per mL, Surface Plasmon Resonance imaging allowed the detection and the discrimination of these bacteria while they were growing and interacting specifically with the carbohydrate microarray. Moreover, this device is easily regenerable and can be re-used: it is probably a promising tool to early detect bacteria in food.

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