Chemical Testing & Analysis

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Researchers from the Helmholtz Center for Environmental Research and the Food Packaging Forum have proposed a panel of 15 high-throughput in vitro bioassays to screen chemicals for biological activity associated with cancer, brain-related harms, cardiovascular disease, and other disorders.

GeNi is intended to serve as a centralized hub for interlaboratory data, enabling participants to benchmark testing performance, identify best practices, improve data comparability, and support greater consistency in testing methods across industry.

Together with the Thermo Scientific Vanquish Duo UHPLC System and new Isotope Discoverer Software, the instruments comprise an integrated workflow for molecular-level isotope ratio analysis. Potential applications include food and beverage authenticity by tracing the sources and pathways of contaminants.

Effective July 20, to support risk surveillance, the agency will perform metals analysis on samples that are already collected for allergen verification.

Polycyclic aromatic hydrocarbons (PAHs) are potentially carcinogenic compounds formed during high-heat cooking. An emerging testing method known as QuEChERS—which stands for “Quick, Easy, Cheap, Effective, Rugged, and Safe”—is designed to overcome the limitations of conventional PAH tests.

The findings, based on a novel approach and published in Nature Health, suggest that traditional chemical safety assessments may overlook combined exposures and real-life environmental conditions. Transcriptomic analysis implicated a non-genotoxic mode of action by which pesticides interfere with normal cell function and identity processes.

The Canadian Food Inspection Agency (CFIA) recently published the findings from several food sampling and testing assignments for microbiological and chemical contaminants across a range of food categories. In general, the results were satisfactory.

The Environmental Working Group’s 2026 Shopper’s Guide to Pesticides in Produce highlights PFAS pesticides for the first time. Although EWG recently updated its methodology, scientists argue it still does not consider key exposure science and risk assessment principles, therefore misleading consumers about the health risks of conventionally grown produce.

The researchers positioned the machine learning model as a low-cost complement to traditional testing workflows, helping dairy processors enhance food safety while targeting laboratory resources.

This episode of Food Safety Five discusses expert perspectives on the Healthy Florida First food contaminant testing program, including information gaps about the testing and risk assessment methodology and why this missing information matters.