The scientists will isolate and identify pathogens like Salmonella enterica and Listeria monocytogenes from Pennsylvania wastewater using whole genome sequencing (WGS), then work with the State Department of Health to connect isolates to foodborne illness outbreaks.
Supported in part by USDA-NIFA, multidisciplinary researchers and Extension professionals from U.S. land-grant institutions have collaborated under the Enhancing Microbial Safety by Risk Analysis project, completing new research, helping inform policy, and providing education and outreach.
With the goal of helping retail food regulatory programs progress toward achieving FDA’s Retail Program Standards, grant funding supports capacity building, workforce development, and targeted program improvements that strengthen food safety at the retail level.
The Food Safety Outreach Program is a grant program in which USDA-NIFA provides funding for food safety training and education for small and mid-sized producers and processors affected by the Food Safety Modernization Act (FSMA).
A researcher from Southern Illinois University Carbondale has received a $150,000 grant from USDA-NIFA to develop an AI-based rapid detection method for Salmonella on onions.
An Oxford University researcher was awarded £5 million to develop a Campylobacter vaccine for livestock, which will be made possible by data gathered through a global metagenomic surveillance network that is established through collaboration with 19 partner countries.
The United States Department of Agriculture’s National Institute of Food and Agriculture (USDA-NIFA) is investing $14 million into dozens of projects aimed at advancing food safety research, outreach, and training.
The U.S. Department of Agriculture (USDA) has announced eight awards totaling nearly $5 million to maintain, expand, and utilize previously developed AMR dashboard tools.
The U.S. Department of Agriculture (USDA) has awarded grants to two Florida State University (FSU) professors for projects focused on food safety innovation—specifically, on the use of artificial intelligence (AI) to mitigate foodborne antimicrobial resistance, and for the development of a new Salmonella assay.
