Electronic Nose Market, By Technology (Metal-Oxide Sensors, Conducting Polymers, Quartz Crystal Microbalance, and Others), By Application (Food and Beverage, Healthcare, Environmental Monitoring, Security and Defense, and Others), By End User (Industrial, Commercial, and Residential), By Geography (North America, Latin America, Asia Pacific, Europe, Middle East, and Africa)
In May 2023, Alpha MOS, a French company specializing in electronic nose technology, announced the formal validation of its milk quality control solution by Mengniu, the largest dairy group in China and the seventh-largest globally. This validation followed a two-year framework agreement with Lan Chou Instruments, aimed at equipping Mengniu with Heracles NEO electronic noses to monitor the aroma changes in its products over time.
In April 2023, The eNose Company, a pioneer in electronic nose technology for medical diagnostics, showcased its aeoNose device for lung cancer treatment at the HIMSS Global Health Conference and Exhibition in Chicago. The aeoNose effectively communicates with Electronic Health Records (EHR) through the company's IRIS4health Intersystems platform.
In February 2023, Ghent University in Belgium, renowned for its research in food technology, was equipped with the HERACLES electronic nose developed by Alpha MOS, a leader in electronic nose technology. Researchers and doctoral candidates at the university utilize this advanced device to investigate innovative agri-food products intended for both human and livestock consumption. Additionally, they are exploring alternative animal feed options, leveraging HERACLES' capabilities to assess the acceptability of various feed sources, such as microbial proteins, based on their odor profiles.
In April 2020, Intel Corporation, a leading American multinational technology company, announced a groundbreaking collaboration with Cornell University, resulting in the invention of the Loihi neuromorphic research chip. This innovative chip serves as a computer's electronic nose, enabling it to distinguish substances based on the scents or aromas they release using neuromorphic computing principles.