Data from: A fast method for the detection of Salmonella Typhimurium cells in egg biofilms on three different surfaces
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,Salmonella is a pathogenic microorganism linked to foodborne outbreaks associated with egg and egg products. This microorganism can resist sanitation of the egg processing equipment and form biofilms. The main challenge is detecting Salmonella cells in the early stages of biofilm formation to use effective interventions to control and remove the Salmonella biofilms. This work aimed to study the biofilm formation of S. Typhimurium in liquid whole egg (LWE) on three common food-contact surfaces, stainless steel, silicone, and nylon, during the first five hours of incubation at 37°C and compare traditional microbiological methods to innovative and fast detection techniques. The results showed that using general plate counts, Salmonella cells were detected after three h of incubation with less than 1 – log of growth, silicone was the material with most cells attached, followed by stainless steel. Long-read whole genome sequencing detected Salmonella on stainless steel, silicone, and nylon after only one h of incubation. The results of this study suggest that long-read sequencing could be very useful for detecting Salmonella at low concentrations in the processing environment.,,This research used the resources provided by SCINet project and the AI Center of Excellence of the USDA Agricultural Research Service, ARS project number 0500-00093-001-00-D.,
Food Safety Domain: Prevalence and concentration of Salmonella enterica, generic Escherichia coli (E. coli) and coliforms on fresh vegetables sold in informal markets in Cambodia
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his dataset was created from results of an observational study conducted in two provinces of Cambodia. A total of n=312 fresh vegetable samples were collected from a total of four informal markets in Province 1 (n=2) and Province 2 (n=2) provinces, during two seasons: (1) rainy season (May to November) (2) dry season (December to April) as identified by (Culas & Tek, 2016).Three total vegetable types were collected: n=104 lettuce, n=104 cucumbers and n=104 tomatoes. Data was collected in January 2018 and June 2018. This dataset was collected through research of the project "Integrated Horticulture Livestock Systems" lead by Kansas State University, in partnership with the Royal University of Agriculture, as a part of the Feed the Future Innovation Lab for Horticulture. (2018-01-12)