Using whole genome sequencing (WGS), the U.S. Centers for Disease Control and Prevention were able to link a persistent, drug-resistant strain of Escherichia coli O157:H7 to multiple sources for various foodborne illness outbreaks.
Researchers have introduced a novel, thermal biosensor for real-time detection of Escherichia coli,demonstrating its ability to detect the pathogen in milk without sample preparation. The sensor would be easy to mass produce, and shows potential as a low-cost, rapid tool for onsite microbial indication.
The Canadian Food Inspection Agency (CIFA) recently provided insight into how whole genome sequencing (WGS) and international data-sharing helped trace a 2020 multinational food safety outbreak of Listeria monocytogenes to enoki mushrooms, enabling countries to rapidly recall the affected products.
A pervasive trend exists to take larger and more frequent samples to address microbial contamination. This trend has touched almonds and is expected to hit other nut products, which can be considered for aggregated sampling as a solution.
Two reports by the National Advisory Committee on Microbiological Criteria for Foods (NACMCF) have advised the U.S. Food and Drug Administration (FDA) and the U.S. Department of Agriculture’s Food Safety and Inspection Service (USDA’s FSIS) on microbial testing of ready-to-eat (RTE) foods and the safety of recycled water in food production, respectively.
Artificial Intelligence (AI) with optical imaging may be a promising solution for detecting pathogens in foods, and would save the food industry time and resources, according to a recent study.
The U.S. Food and Drug Administration (FDA) has worked with the U.S. Environmental Protection Agency (EPA) to update the protocol for the development and registration of antimicrobial treatments for preharvest agricultural water, removing Listeria monocytogenes from the organism test panel.
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