USDA Food Safety and Inspection Service (USDA-FSIS) laboratories now use an improved enrichment method for Campylobacter in poultry meat samples, which reduced enrichment incubation time by half, and shaved a day off of reporting times for results.
A Center for Produce Safety-funded proof-of-concept study is exploring a novel, high-throughput capture and concentration method for hepatitis A virus in fruit wash water, which uses magnets and hydrogel nanoparticles. It could be added to existing FDA and ISO digital PCR assay workflows, potentially reducing false positives.
Protecting Italian honey authenticity and combatting food fraud, the Italian Standards Body’s (UNI’s) new UNI 11972 standard introduces a new analytical method for detecting honey adulteration based in Nuclear Magnetic Resonance technology.
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 new study by USDA researchers has shown that long-read whole genome sequencing (WGS) could detect Salmonella attachment to food-contact surfaces earlier than traditional culture-based methods, allowing for sanitation interventions to be applied before the maturation of robust and difficult-to-remove biofilms.
A recently published summary of an FAO technical meeting identified the challenges and needs related to applying gut microbiome data in future food chemical safety risk assessments.
A new study conducted by Canadian Food Inspection Agency scientists demonstrates the capability of a streamlined workflow to detect low-level presence of Listeria monocytogenes in food samples within eight hours.
Funded by the Center for Produce Safety, researchers with the University of Barcelona and the Spanish Research Council are developing novel testing protocols for norovirus and hepatitis A on berries and leafy greens, enabling faster analysis and reducing false positives.
Scientists have developed a new method for detecting fecal contamination in water using human viral DNA, which can help improve the safety of water sources while also allowing for microbial source tracking of contamination.
The FAO/WHO Joint Expert Meeting on Microbiological Risk Assessment (JEMRA) has published a report ranking the most important foodborne viruses and virus-food commodity pairings.
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