The U.S. Department of Agriculture has launched a new exploratory sampling program for antibiotic residues in cattle that are claimed to be raised without antibiotics.
Matvælastofnun, known as the Icelandic Food and Veterinary Authority in English, recently published a report on the country’s antibiotic use for animals and antimicrobial resistance (AMR) of bacteria in animals and food during 2022.
New research from the Florida State University College of Medicine suggests that the artificial sweetener aspartame may have negative cognitive effects, finding spatial learning and memory deficits among the offspring of male mice that consumed low doses of the chemical.
The U.S. Department of Agriculture’s Food Safety and Inspection Service (USDA’s FSIS) has developed an innovative method for beef muscle samples that uses modern chemistry instrumentation for quantifying chemical residues.
California Assembly Bill 418, also called the California Food Safety Act, which aims to prohibit four food additives from being used or sold in the state due to associated health risks, recently passed the state Senate and is waiting to be signed into law by Governor Gavin Newsom.
To inform the European Commission’s decision on whether to establish maximum levels for mineral oil hydrocarbons (MOH) in certain foods, the European Food Safety Authority (EFSA) recently published an update of its risk assessment on dietary exposure to the chemicals.
Titanium dioxide has been removed from the list of chemicals that would be banned as food additives under California Assembly Bill 418, which was recently named the California Food Safety Act.
Researchers recently discovered a new fungal strain in soil that shows potential for eliminating patulin, a harmful mycotoxin that contaminates fruits, by breaking it down into less toxic compounds.
A U.S. Food and Drug Administration (FDA) study has estimated a toxicological reference value (TRV) for oral cadmium exposure. TRVs are useful in the development of action levels for contaminants in foods like toxic heavy metals.
The use of artificial intelligence (AI) tools like big data and machine learning for antimicrobial resistance (AMR) surveillance in livestock production shows promise for informing AMR mitigation efforts, according to a recent study led by University of Nottingham researchers.
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