A dedicated SPR apparatus optimized for individual bacteria observation and a new strategy for early detection of microorganisms in growth.

No abstract

This article presents a simple-to-operate immunoassay for the specific detection of Shiga-toxin producing Escherichia coli (STEC). This approach consists in the on-chip assay detection of viable cells on a specifically designed antibody microarray. By skipping any enrichment step and avoiding the use of labelling agent, this approach based on the Surface Plasmon Resonance imaging of the microarrays turns out to be much faster and more cost effective by comparison with standardized methods.

Among bacterial pathogens involved in food contamination, Cronobacter and Salmonella are of particular interest. Nevertheless, all detection methods used so far require several days to assess food safety. In the present paper, we describe the first multiplex immuno-assay ever described for fast and specific detection of these two pathogens in food samples. Such advances were made possible by combining the advantages of protein microarrays with on-biochip culture of contaminated food samples and an easy-to-operate optical detection. By doing so, we managed to detect both viable Cronobacter and Salmonella occurring during the enrichment phase.

Foodborne diseases are a major concern for both food industry and health organizations due to the economic costs and potential threats for human lives. For these reasons, specific regulations impose the research of pathogenic bacteria in food products. Nevertheless, current methods, references and alternatives, take up to several days and require many handling steps. In order to improve pathogen detection in food, we developed an immune-sensor, based on Surface Plasmon Resonance imaging (SPRi) and bacterial growth which allows the detection of a very low number of Listeria monocytogenes in food sample in one day. Adequate sensitivity is achieved by the deposition of several antibodies in a micro-array format allowing real-time detection. This label-free method thus reduces handling and time to result compared with current methods.