Recent advances in AI have improved the speed and accuracy of electronic noses, high-tech sensors that can detect and report specific smells. These electronic noses, such as Sensifi developed by an Israeli company, use electrodes coated with carbon nanoparticles to detect volatile organic compounds (VOC) given off by bacteria. Different strains of bacteria produce a unique VOC fingerprint, which is recorded and analyzed by an AI software system.
Yet thanks to recent advances in artificial intelligence (AI), the latest electronic noses - high-tech sensors that can detect and report specific smells - are quickly improving their levels of speed and accuracy. Common types of potentially deadly foodborne bacteria are salmonella and E. Coli. Both of these have their own "electronic personality", says Prof Raz Jelinek, the co-developer of an e-nose called Sensifi, and a professor of chemistry at Ben Gurion University of the Negev, in Israel.
"They have their own electrical signal." The e-noses made by the Israeli company of the same name contain electrodes that are coated with nanoparticles of carbon. They detect the smells or volatile organic compounds (VOC) given off by bacteria. Different strains of bacteria produce a different VOC fingerprint, which in turn creates a different electric signal in the Sensifi machine. This is then recorded by an AI software system, which checks it against its ever-growing database, and notifies the use
AI Electronic Noses Sensors Bacteria Foodborne VOC Carbon Nanoparticles
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