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.
A recent study has demonstrated that current sampling and testing methods for Campylobacter may overlook epidemiologically-important strains. The researchers suggest using optimized culture methods and analyzing multiple isolates per sample.
A recent study explored how the use of uniform, threshold-based precautionary allergen labeling could increase food safety for allergic consumers, as well as enhance the number of foods available to them on the market.
In light of a recent investigation that found nearly half of honey imported to the EU is adulterated, UK researchers have demonstrated the promise of two innovative techniques—DNA barcoding and spatial offset Raman Spectroscopy—for detecting sugar adulterants in honey.
