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New sensor to detect harmful bacteria on food industry surfaces

New sensor to detect harmful bacteria on food industry surfaces

Listeria monocytogenes has a hospitalisation rate of 92 percent

 Listeria monocytogenes has a hospitalisation rate of 92 percent

A new device designed to sample and detect foodborne bacteria is being trialled by scientists at the University of Southampton.

The Biolisme project is using research from the University to develop a sensor capable of collecting and detecting Listeria monocytogenes on food industry surfaces, thereby preventing contaminated products from entering the market.

Listeria monocytogenes is a pathogen that causes listeriosis, an infection with symptoms of fever, vomiting and diarrhoea, that can spread to other parts of the body and lead to more serious complications, like meningitis.

Transmitted by ready-to-eat foods, such as milk, cheese, vegetables, raw and smoked fish, meat and cold cuts, Listeria monocytogenes has the highest hospitalisation (92 per cent) and death (18 per cent) rate among all foodborne pathogens. Listeriosis mainly affects pregnant women, new-born children, the elderly and people with weakened immune systems.

Current techniques to detect the bacteria take days of testing in labs, but the new device aims to collect and detect the pathogen on location within three to four hours. This early and rapid detection can avoid the cross contamination of ready-to-eat food products.

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