Some will argue that more sensitive methods are needed to drive change. This is a reasonable argument, but it misses the underlying problem of defining the mission before implementing a sampling and testing program.

Researchers from the Singapore Food Agency’s National Center for Food Science and the National University of Singapore have developed a real-time polymerase chain reaction (PCR) approach for the detection of viable Salmonella Enteritidis contamination in shell eggs, which would accelerate the traditional Salmonella testing process if integrated.

Researchers from Pusan National University in Busan, South Korea have developed a polydiacetylene-based sensor that offers rapid visual detection of biogenic amines released from spoiled food, indicating when products have gone bad.

The Association of Official Agricultural Chemists Africa Section (AOAC Africa) has established a partnership with the African Organization for Standardization (ARSO) to develop analytical methods for the continent’s most widely consumed foods. 

In this episode of Food Safety Matters, we talk with Martin Wiedmann, Ph.D., D.V.M., the Gellert Family Professor in Food Safety and Food Science at Cornell University, about his research on Listeria and Salmonella, his work to strengthen foodborne illness surveillance and response, his use of whole genome sequencing (WGS), and other topics.

bioMérieux’s new GENE-UP® ENVIROPRO™ detects both Salmonella and Listeria from environmental swabbing, including PCR confirmation.

The Food and Agriculture Organization of the United Nations (FAO) is planning to hold a workshop for government officials from low- and middle-income countries (LMICs) to learn about whole genome sequencing (WGS). Individuals interested in participating are invited to apply.

In this bonus episode of Food Safety Matters, we speak with Trevor Craig, Corporate Director of Technical Training and Consulting at Microbac Laboratories, about the dates on consumer food packaging, their impacts on shelf life and food safety and quality (FSQ), and the role Microbac can play in helping industry manage FSQ risks.
 

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.

More than 200 food safety experts across 14 countries in Asia and the Pacific have been trained in the use of the use of nuclear techniques to test for microbial and chemical hazards, through a project led by the Food and Agriculture Organization of the United Nations (FAO) and the International Atomic Energy Agency (IAEA).