Articles Tagged with ''pathogen detection''

Spectacular Labs Inc. will unveil its plans for a fast, accurate, and automated pathogen testing platform at the upcoming International Association for Food Protection (IAFP) 2023 Annual Meeting, taking place July 16–19 in Toronto, Ontario, Canada at the Metro Toronto Convention Center.

McMaster University researchers have created a new packaging tray that can signal when Salmonella or other foodborne pathogens are present in raw or cooked foods, such as chicken.

Researchers from the Singapore Food Agency’s National Center for Food Science and the National University of Singapore have developed a real-time polymerase chain reaction (PCR) approach for the detection of viable Salmonella Enteritidis contamination in shell eggs, which would accelerate the traditional Salmonella testing process if integrated.

McMaster University researchers have developed a rapid, inexpensive test for Salmonella contamination in poultry and other food. The test provides accurate results in an hour or less without the need for accessories or a power source.

Researchers have introduced a novel, thermal biosensor for real-time detection of Escherichia coli, demonstrating its ability to detect the pathogen in milk without sample preparation. The sensor would be easy to mass produce, and shows potential as a low-cost, rapid tool for onsite microbial indication.

Artificial Intelligence (AI) with optical imaging may be a promising solution for detecting pathogens in foods, and would save the food industry time and resources, according to a recent study.

Food safety sampling and testing strategies must seek ways to adapt food safety plans that reflect the reality of contamination to improve hazard detection and ultimately help ensure that food is safe for consumers. One solution is to maximize the power of sampling plans to detect target hazards present at explicitly defined risk levels—prevalence, level, and/or distribution. This would allow food safety professionals to better manage risk in their specific system.

Sixth Wave Innovations Inc. recently announced that its Accelerated Molecularly Imprinted Polymer (AMIPs™) technology has expanded its library of detectable pathogens, which already includes Escherichia coli, to encompass Salmonella, Listeria monocytgenes, and Sarcina.

Scientists have developed a rapid detection method for microbial contaminants in food that can identify the presence of certain pathogens by color in as little as one hour.

Researchers at the University of Georgia are developing a biosensor-based rapid diagnostic test for Listeria monocytogenes in food.