16 April 2025 - The International Union of Food Science and Technology (IUFoST) today released its latest Scientific Information Bulletin on Artificial Intelligence (AI) for accelerated detection of pathogenic and spoilage microbes in food systems for the global food science and technology community represented by more than 300,000 food scientists, technologists, engineers and related social scientists worldwide working with IUFoST. This Scientific Information Bulletin (SIB) may be of interest to those serving in academia, industry, government, consumer and development organizations.
“The rapid and accurate detection of microbial contamination is critical for ensuring food safety, preventing foodborne illness outbreaks, reducing economic losses, and minimizing food waste caused by spoilage. Traditional methods, such as culture-based assays and molecular techniques, are often labor-intensive and require days to detect trace-level microbial contamination. Recent advancements in artificial intelligence (AI) offer promising alternatives, providing faster, more accurate and potentially sensitive microbial detection solutions. This bulletin explores the challenges of current microbial detection techniques, the potential of AI technologies to improve microbial detection, and future directions for the integration of AI-based approaches into food systems.”
This SIB on Artificial Intelligence (AI) for accelerated detection of pathogenic and spoilage microbes in food systems was prepared by Prof. Hyeon Woo Park, Department of Food & Biotechnology, Korea University, Sejong 30019, Republic of Korea, Prof. Luyao Ma, Department of Food Science & Technology, Oregon State University, Corvallis, OR 97331, USA, and Prof. Nitin Nitin, Department of Food Science & Technology and Department of Biological & Agricultural Engineering, University of California-Davis, Davis, CA 95616, USA, on behalf of, and approved by, the IUFoST Scientific Council.
This and the other titles in the series of IUFoST Scientific Information Bulletins are available online at http://iufost.org/iufost-scientific-information-bulletins-sib. You can also find this SIB below.
