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. 

Hanna Instruments Inc. has released its new Advanced Benchtop Meter Series, which includes three new models for testing pH, conductivity, and dissolved oxygen.

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.

Using whole genome sequencing (WGS), the U.S. Centers for Disease Control and Prevention were able to link a persistent, drug-resistant strain of Escherichia coli O157:H7 to multiple sources for various foodborne illness outbreaks.

A Purdue University research team has developed a new time-saving assay to detect Escherichia coli O157:H7 in ground beef.

Researchers have introduced a novel, thermal biosensor for real-time detection of Escherichia coli, demonstrating its ability to detect the pathogen in milk without sample preparation. The sensor would be easy to mass produce, and shows potential as a low-cost, rapid tool for onsite microbial indication.

ImagoAI Inc. has launched a new, affordable rapid mycotoxin test that provides results in 30 seconds for corn silage and corn mycotoxins.

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

Risk-based approaches for food allergens offer a path forward for both allergen management and precautionary allergen labeling decision-making. After many years of research, a clearer picture has emerged of the population-level, threshold-dose distributions for major food allergens using data generated in double-blind, placebo-controlled food challenge studies. If the food allergen management field is headed for a shift toward quantitative, risk-based management strategies, however, then several method considerations and important data gaps must be addressed.