An ongoing study funded by the Center for Produce Safety aims to fill knowledge gaps about the microbial food safety risks posed by wax roller brushes used on fruit and vegetables, as well as identify best cleaning and sanitation practices.
New artificial nose technology developed by the Norwegian University of Science and Technology (NTNU) could make it possible to reliably detect and identify spoiled and damaged food through smell.
In a recent research project, the fortification of rice grains with zinc oxide and magnesium oxide nanoparticles was shown to be effective in inhibiting Escherichia coli growth. The researchers believe that similar nanofortification techniques could be applicable across agriculture to enhance microbial food safety.
The U.S. Food and Drug Administration (FDA) and Purdue University are launching a multi-year environmental study of Salmonella in the Southwest Indiana agricultural region to answer questions raised by recent outbreaks linked to cantaloupe and to inform food safety strategies.
A new app developed by University of Zurich (UZH) researchers, in collaboration with the World Health Organization (WHO), can aid the early detection of contagious outbreaks, such as gastrointestinal (GI) diseases contracted by people traveling abroad.
A recent study of genomic data for Campylobacter from 2009–2019 found a steep increase in human infections attributable to poultry, as well as a concerning rise in the proportion of multidrug-resistant isolates. Campylobacter isolates associated with poultry were found to harbor the most antimicrobial resistance (AMR).
A recent study analyzed U.S. Food and Drug Administration (FDA) food product recall data from 2002–2023, drawing conclusions from more than 35,000 product recalls.
Researchers with Ayass Bioscience have developed a novel, aptamer-based solution that neutralizes peanut allergens with potential application in the agriculture, food production, and sanitation sectors. The technology is non-invasive, and does not involve genetic modification to peanuts or traditional immunotherapy for patients.
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.
