AI-powered electronic nose can distinguish tens of thousands of odors‎

A research team has presented a roadmap for developing an "artificial olfactory system" that detects odors like the human nose and analyzes them using artificial intelligence (AI) by leveraging metal-organic frameworks (MOFs). The team systematically organized and reviewed key research trends in electronic nose technology, from MOF material design to sensor implementation and AI-based odor pattern recognition. The research was led by Hyuk-Jun Kwon's in the Department of Electrical Engineering & Computer Science of Daegu Gyeongbuk Institute of Science and Technology. The work is published in the journal Progress in Materials Science.