A team of scientists is developing a rapid sensor-based decision-making system to assess and mitigate Salmonella contamination across the entire poultry supply chain, with an emphasis on improving health equity by leveraging data to help disproportionately affected communities make informed food safety decisions.
The use of artificial intelligence (AI) tools like big data and machine learning for antimicrobial resistance (AMR) surveillance in livestock production shows promise for informing AMR mitigation efforts, according to a recent study led by University of Nottingham researchers.
The U.S. Department of Agriculture’s National Institute of Food and Agriculture (USDA’s NIFA) has granted a Michigan State University (MSU) research team $611,000 to explore the uptake of toxic heavy metals in food crops, with the goal of providing a guide containing mitigation strategies and decision-making resources for growers and policymakers.
Based on the results of a recent Clostridium perfringens Market Basket Study, the U.S. Department of Agriculture’s Food Safety and Inspection Service (USDA’s FSIS) has concluded that the guidance currently being used for the cooling of large-mass, non-intact ready-to-eat (RTE) meat and poultry products is adequate and does not merit revision.
Scientists from the National Research Council of Canada (NRC), alongside collaborators from the U.S. and Norway, have finally discovered the algal source of ciguatoxin in Caribbean waters. The findings will make it possible to develop methods and standards to help food safety laboratories monitor and manage the risk of ciguatera poisoning.
The Center for Produce Safety (CPS) recently published key takeaways from its 2023 Research Symposium regarding a variety of topics including foodborne pathogens, cleaning and sanitation, floodwater hazard mitigation, and other areas.
A project funded by the Center for Produce Safety has collected information about, validated, and evaluated the efficacy of the cleaning and sanitation practices for harvest equipment among blueberry harvesters and packers.
After finding nearly 70 percent of private-label avocado oils to be rancid or adulterated, researchers have identified key markers to help the retail food industry source authentic product.
A recent study exploring the use of a digital technologies for retail food safety inspections in the EU has revealed existing opportunities to improve inspection consistency through digitalization, as well as the barriers that exist to adopting a digital environment.
A recent study conducted by researchers from the University of Illinois Urbana-Champaign concluded that, when sampling powdered infant formula for Cronobacter contamination, sampling with stratification may be more powerful than random sampling, and that taking more samples, even if smaller, increases the ability to detect contamination.
