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.
Combining multiplex PCR and DNA barcoding, Chapman University researchers successfully detected fraudulent adulteration in half of ginseng supplement samples tested. With 28 percent of samples still unable to be identified, the researchers call for future studies combining DNA- and chemical-based testing methods.
Published in CDC’s Emerging Infectious Diseases, one of the largest-ever whole genome sequencing (WGS) analyses of Campylobacter in Africa found antimicrobial resistance (AMR) in 75 percent of human and poultry isolates from Tanzania and Kenya.
A recent study suggests that global control measures for Highly Pathogenic Avian Influenza (HPAI) H5N1 infection in poultry and dairy cattle are insufficient. Gaps in control measures exist, including resistance to modern vaccines and surveillance technologies.
Osaka Metropolitan University researchers have developed an antibody that can identify Campylobacter jejuni and inhibit its growth, which could potentially power rapid detection solutions for food contamination and medical interventions for foodborne illness.
Designed for Salinas Valley, California growers, an ongoing project supported by the Center for Produce Safety will leverage existing science and consider unique farming operation factors to create a user-friendly tool that assesses Escherichia coli contamination risk and provides actionable mitigation measures.
Penn State University researchers have demonstrated the usefulness of wastewater monitoring for foodborne pathogen surveillance, after successfully isolating Salmonella from wastewater samples and linking them to clinical isolates from an existing foodborne illness outbreak.
