Protecting Italian honey authenticity and combatting food fraud, the Italian Standards Body’s (UNI’s) new UNI 11972 standard introduces a new analytical method for detecting honey adulteration based in Nuclear Magnetic Resonance technology.
A paper authored by experts associated with ILSI Europe asserts that global food safety would benefit from the harmonization of risk assessment protocols for food contact materials used by different regulatory bodies, and suggests a path forward for working toward harmonization.
Adding to its existing certification for corn, ImagoAI’s Galaxy Mycotoxins Test has received the AOAC Performance Tested Methods (PTM) certification for aflatoxins, deoxynivalenol, fumonisins, and zearalenone in Wheat, Dried Distillers Grains With Solubles (DDGS), and Corn Gluten Meal (CGM).
The Food Packaging Forum’s open access Database on Migrating and Extractable Food Contact Chemicals (FCCmigex) has been updated to include the most recent science on thousands of food contact chemicals to which humans are exposed. FCCmigex supports scientific and regulatory efforts to improve food contact material safety.
A recently published summary of an FAO technical meeting identified the challenges and needs related to applying gut microbiome data in future food chemical safety risk assessments.
USDA-FSIS has published its Annual Sampling Plan for Fiscal Year (FY) 2025, outlining the agency’s strategy for directing sampling resources in the coming year.
AOAC International has announced that the Scope of Accreditation to ISO/IEC 17043 for the Proficiency Testing program has been expanded to include its cannabis and hemp oil programs.
The open access Food Safety Mass Spectral Library, developed by Wageningen University and Research scientists, comprises more than 1,000 chemicals including veterinary drugs, contaminants, pesticides, and natural toxins.
BeyondPFAS from Veolia North America is a new, end-to-end management solution for per- and polyfluoroalkyl substances (PFAS), combining the company’s PFAS treatment and disposal services with expert navigation of regulatory requirements and funding sources.
Combining genomic sequencing data and artificial intelligence (AI), researchers have demonstrated the efficacy of a new approach for the untargeted detection of contaminants, antibiotics, and other food safety anomalies in bulk milk samples.