A.I is used to prevent food poisoning.

  21/12/2023

Each nose has around 400 scent receptors that are said to be able to detect around one trillion different odours.

Different strains of bacteria produce different traces of VOCs, allowing the A.I nose to “sniff” different signals. Photo: The Peak

Food poisoning is a big problem in every country, even in countries with developed health systems such as the UK and the US… Recently, thanks to advances in A.I, Israeli scientists have successfully invented a computer. Electronic nose fitted with high-tech sensors.

Accordingly, this A.I nose can detect and distinguish specific odors because it contains electrodes covered with carbon nanoparticles. They can detect odors or volatile organic compounds (VOCs) emitted by bacteria.

Different strains of bacteria produce different traces of VOCs, allowing the A.I nose to sniff out different signals. Then, these signals will be checked by an A.I software system based on the available database and notified to the user.

The sensors fit into the 3D printed electronic nose. Photo: BBC

” Common types of potentially deadly foodborne bacteria are salmonella and E. Coli. all produce their own VOC signal,” said Raz Jelinek, Professor of Electronic Nose Development Chemistry at Ben Gurion University in the Negev (Israel).

A.I nose is expected to change the fight against food poisoning. In most cases, food manufacturers have to send samples to a laboratory for testing and it takes several days to receive results. Electronic noses can be used on the spot, at food companies, and give results in less than an hour. The price of this nose has not been announced, but the research side says it will be affordable.

Ben Gurion University representative said the biggest “killer” in the US food industry in the past 5-10 years is romaine lettuce (a type of salad). The more industrialized the food market, the more susceptible it is to pathogens.

Some A.I experts say that although the electronic nose works well, current demand has not increased significantly because food companies may hesitate because of installation costs.

A.I expert Kjell Carlsson of Domino data lab based in San Francisco (USA) points out that the electronic nose will need to be adjusted for each food facility. “This is an extremely difficult task in an industry that is not used to embracing new technologies,” he commented.

Source: nhipcaudautu.vn

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