Under the terms of the partnership, LuminUltra will serve as an official North American distributor of Kikkoman Biochemifa’s microbiological monitoring technologies for food safety and hygiene.
The turkey industry advocacy group has issued a request for research proposals that will help define microbiologically independent lots of raw ground turkey, informing best practices that enhance food safety and regulatory compliance.
In a new peer-reviewed paper, experts emphasized the need for a paradigm shift in how the entire frozen berry supply chain can manage enteric virus safety, shifting from reliance on detection to a focus on prevention strategies.
Bio-Rad Laboratories’ new EZ-Check Salmonella Kit is a rapid, polymerase chain reaction (PCR)-based detection method for Salmonella in food and environmental matrices.
Researchers in China have developed a new onsite rapid test, based in fluorescence RNA-targeted isothermal amplification assay (SAT) technology, that can quickly detect and identify Cronobacter species in powdered infant formula. It offers significantly greater sensitivity and much more rapid results than polymerase chain reaction (PCR), without producing false positives.
NEMIS Technologies has unveiled new, rapid hygiene monitoring solutions for testing “on the go”—ATP GO and ATP GO Liquid—as well as NEMIS iNactivate, a microbe inactivation device for pathogen testing workflows. The company also opened a U.S. office in San Francisco, California.
bioMérieux has launched the new GENE-UP PRO HRM testing solution for viable heat-resistant molds (HRMs), the only DNA-based testing solution on the market for the detection of viable HRMs.
bioMérieux has acquired Neoprospecta, a Brazil-based developer of data and genomics solutions for food industry quality assurance programs and microbiological risk prevention.
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.
Using an artificial intelligence (AI) model to standardize and analyze a massive, global set of whole genome sequencing (WGS) data for Cronobacter sakazakii, University of Maryland researchers have discovered genetic traits that may explain the pathogen’s persistence and virulence in low-moisture foods like powdered infant formula.