Testing & Analysis

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This article walks food processors through why and how to mitigate dust in the environment of their food facility.

A new study led by the University of South Australia offers a promising real-time mycotoxin detection method for the food industry that is based in artificial intelligence (AI) technology, and overcomes some of the limitations of traditional detection methods.

This article discusses the development of low-cost, user-friendly biosensors to improve food safety in produce.

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.

USDA-FSIS and AOAC International have signed a Memorandum of Understanding (MOU) regarding the development, validation, and recognition of methods used by FSIS labs and regulated establishments for the verification of Hazard Analysis and Critical Control Points (HACCP) -based food safety systems.

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.