Researchers from the University of Córdoba
in Spain have developed a model for predicting the growth of Listeria monocytogenes in artisanal cheeses, which will be especially useful to producers that must demonstrate compliance with recently expanded EU regulations for controlling the pathogenin ready-to-eat (RTE) foods.
A study from the University of Georgia’s Center for Food Safety suggests a synergistic effect between antimicrobial blue light treatment and low concentrations of sanitizers commonly used in industry, finding enhanced inactivation of Listeria monocytogenes on food contact surfaces.
Many raw foods pose a higher risk of contamination compared to their cooked or processed counterparts. Consumers making choices in pursuit of health and wellness deserve full transparency about both the risks and benefits of these foods.
This episode of Food Safety Five discusses newly published CDC data about the pathogens causing foodborne illness and contributing factors of outbreaks, as well as research by CDC, USDA, and FDA scientists exploring the use of AI analysis of whole genome sequencing data for foodborne illness source attribution.
A project funded by the Center for Produce Safety is developing an identification and deterrent system for high-risk birds in produce fields based on sound surveillance and artificial intelligence (AI). The tool would automatically deploy interventions to drive away birds that are more likely to spread foodborne pathogens.
The European Commission published a FAQ document to clarify the requirements of Regulation (EU) 2025/179, which mandates whole genome sequencing (WGS) testing and data reporting for important foodborne pathogens when suspected to be associated with a foodborne illness outbreak.
Adding to its existing certification for corn, ImagoAI’s Galaxy Mycotoxins Test has received the AOAC Performance Tested Methods (PTM) certification for aflatoxins, deoxynivalenol, fumonisins, and zearalenone in Wheat, Dried Distillers Grains With Solubles (DDGS), and Corn Gluten Meal (CGM).
A recent study of Pseudomonas spoilage microorganisms isolated from dairy products in Spain identified the presence of highly biofilm-forming, antimicrobial-resistant (AMR) strains, presenting challenges for dairy industry control strategies, and posing the risk of transfer of AMR genes to pathogenic foodborne bacteria.
Researchers from CDC, FDA, and USDA trained an artificial intelligence (AI) machine learning model to conduct food source attribution for human cases of salmonellosis by analyzing whole genome sequencing (WGS) data for Salmonella isolates. The model showed promise, estimating that the majority of salmonellosis cases are caused by chicken and vegetables
A study from Public Health Agency of Canada researchers raised concerns about the persistence of Salmonella and Campylobacter in broiler chickens that are resistant to important Category I antimicrobials.
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