Cornell University scientists have developed a computer program, Environmental Monitoring With an Agent-Based Model of Listeria (EnABLe), to simulate the most likely locations in a processing facility where the deadly food-borne pathogen Listeria monocytogenes might be found. Food safety managers may then test those areas for the bacteria's presence, adding an important tool to prevent food contamination and human exposure to the pathogen through tainted food.
The computer model, which is described in the Jan. 24 issue of Scientific Reports, has the potential to be modified for a wide range of microbes and locations.
Goal - Tool - Control - Pathogen - Environment
"The goal is to build a decision-support tool for control of any pathogen in any complex environment," said Renata Ivanek, associate professor in the Department of Population Medicine and Diagnostic Sciences and senior author of the paper. The study was funded by the Frozen Food Foundation through a grant to Martin Wiedmann, professor of food science, who is also a co-author of the paper.
The researchers, including first author Claire Zoellner, a postdoctoral research associate in Ivanek's lab, want to eventually apply the framework to identifying contamination from pathogens that cause hospital-acquired infections in veterinary hospitals or E. coli bacteria in fruit and vegetable processing plants.
Food - Safety - Professionals - Processing - Facilities
Food safety professionals at processing facilities keep regular schedules for pathogen testing. They rely on their own expertise and knowledge of the building to determine where to swab for samples.
"Whenever we have an environment that is complex, we always have to rely on expert opinion and general rules for this system, or this company, but what we're trying to...
Wake Up To Breaking News!