Microbiological Testing & Analysis

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The European Commission published a FAQ document to clarify the requirements of Regulation (EU) 2025/179, which mandates whole genome sequencing (WGS) testing and data reporting for important foodborne pathogens when suspected to be associated with a foodborne illness outbreak.

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).

Researchers from CDC, FDA, and USDA trained an artificial intelligence (AI) machine learning model to conduct food source attribution for human cases of salmonellosis by analyzing whole genome sequencing (WGS) data for Salmonella isolates. The model showed promise, estimating that the majority of salmonellosis cases are caused by chicken and vegetables

This episode of Food Safety Five discusses two recent scientific studies that are advancing the food industry’s understanding of and ability to address Listeria monocytogenes, including new findings about the pathogen’s behavior in biofilms and a developing rapid detection method.

A new study by USDA researchers has shown that long-read whole genome sequencing (WGS) could detect Salmonella attachment to food-contact surfaces earlier than traditional culture-based methods, allowing for sanitation interventions to be applied before the maturation of robust and difficult-to-remove biofilms.

The new XP-Design Assay Salmonella Serotyping Solution from Bio-Rad enables rapid detection and precise characterization of Salmonella in food and environmental samples.

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.

Honeywell’s new Digital Holographic Microscopy technology leverages artificial intelligence (AI) and light-based holograms to quantify and classify microscopic particles and cells at the point-of-use. It can be used for liquid food safety and quality testing, as well as air and water environmental monitoring.

A new study conducted by Canadian Food Inspection Agency scientists demonstrates the capability of a streamlined workflow to detect low-level presence of Listeria monocytogenes in food samples within eight hours.

The new GENE-UP® TYPER solution from bioMérieux combines a PCR pathogen detection assay with a machine learning-based web application, facilitating root cause analysis of contamination incidents in the food industry.