This project aims to enhance food safety by studying salmonella contamination across the poultry supply chain, from farms to processing and distribution

The Department of Agriculture National Institute of Food and Agriculture awarded Tuskegee University $749,985 under the 1890 Institution Capacity Building Grants program (CFDA 10.216) on December 15, 2025, to enhance food safety by studying Salmonella contamination across the poultry supply chain from farms to processing and distribution.

The project will deploy GenopathX, a rapid detection tool, to map Salmonella presence and types at various supply chain stages through collection and analysis of samples including air filters, boot swabs from farms, and meat products from processing plants. An AI-powered system will integrate GenopathX data with processing information to predict and reduce Salmonella risks using machine learning. The initiative will develop an AI-enabled biosensor for fast, on-site detection of multiple pathogens to enable real-time monitoring and decision-making. Privacy-focused data-sharing methods will be explored to facilitate collaboration among food producers without exposing sensitive data. The project includes educational components offering students training in advanced food safety technologies and preparation for careers in food production safety.

Performance of work occurs in Tuskegee, Alabama. The period of performance extends from December 15, 2025, through December 14, 2028.

The study will use a new rapid detection tool, genopathx, to map salmonella presence and types at various stages. Samples, such as air filters and boot swabs from farms and meat products from processing plants, will be collected and analyzed to detect contamination trends. Additionally, an AI-powered system will be developed to integrate genopathx data with processing information, helping predict and reduce salmonella risks using machine learning. Privacy-focused data-sharing methods will also be explored to encourage collaboration among food producers without exposing sensitive data. The project includes the creation of an AI-enabled biosensor, which will provide fast, on-site detection of multiple pathogens, allowing real-time monitoring and decision-making. Lastly, the initiative will offer valuable learning opportunities for students, training them in advanced food safety technologies and preparing them for careers in food production safety. This comprehensive approach aims to improve food safety practices and reduce the risk of salmonella outbreaks in poultry products.