German Federal researchers have developed a rapid, onsite detection system for PFAS in water samples. Its cost-effectiveness and ease-of-use make it a potentially scalable solution for authorities and industry to monitor and remediate “forever chemical” contamination.
Developed by University of Texas at Dallas scientists, EnliSense’s READ FWDx is a novel, compact rapid sensor that can simultaneously detect microbiological and chemical food contaminants. EnliSense and the researchers behind READ FWDx envision their technology being used by both food manufacturers and consumers at home.
In the second of this two-part episode of Food Safety Matters, we interviewed professionals from industry, consumer advocacy, and foodservice, live from the show floor of the Food Safety Summit, which took place on May 12–15 in Rosemont, Illinois. We discussed the efficacy of finished product testing, educating and advocating for consumers, food safety culture tools, and more.
Researchers have developed a 3D-printed, microfluidic chip sensor that uses light to rapidly detect important foodborne pathogens at concentrations as low as 10 CFU/ml.
Researchers from Purdue
University have developed a new biosensor-based rapid test that can detect fecal contamination of produce in-field with 90–100 percent accuracy.
A Biosurveillance Intelligence, Surveillance, and Reconnaissance (BISR) system would address two mission-critical requirements for biosurveillance to detect and prevent outbreaks: rapid detection and predictive analysis.
Researchers from Osaka Metropolitan University have achieved simultaneous detection of Escherichia coli and Staphylococcus aureus in real-world samples, on-site and within an hour, using a handheld electrochemical device.
A newly developed biosensor measuring hypoxanthine, a compound that is produced during the process of decomposition, is able to accurately and efficiently determine the freshness of meat.
With a $5 million grant from the U.S. National Science Foundation (NSF), a multidisciplinary research team is developing sensor-based rapid detection technology, backed by an artificial intelligence (AI) –powered decision support system, to control Salmonella and other foodborne pathogens throughout the poultry supply chain.
