| Title: | Artificial olfactory sensor technology that mimics the olfactory mechanism: a comprehensive review |
| Author(s): | Kim C; Lee KK; Kang MS; Shin DM; Oh JW; Lee CS; Han DW; |
| Address: | "Bionanotechnology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, South Korea. Department of Biomedical and Nanopharmaceutical Sciences, Graduate School, Kyung Hee University, Seoul, 02447, South Korea. Department of Cogno-Mechatronics Engineering, Pusan National University, Busan, 46241, South Korea. Department of Mechanical Engineering, The University of Hong Kong, Pokfulam, 999077, Hong Kong, China. Department of Nanoenergy Engineering, Pusan National University, Busan, 46241, South Korea. ojw@pusan.ac.kr. Bionanotechnology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, South Korea. cslee@kribb.re.kr. Department of Biotechnology, University of Science and Technology (UST), Daejeon, 34113, South Korea. cslee@kribb.re.kr. Department of Cogno-Mechatronics Engineering, Pusan National University, Busan, 46241, South Korea. nanohan@pusan.ac.kr" |
| DOI: | 10.1186/s40824-022-00287-1 |
| ISSN/ISBN: | 1226-4601 (Print) 2055-7124 (Electronic) 1226-4601 (Linking) |
| Abstract: | "Artificial olfactory sensors that recognize patterns transmitted by olfactory receptors are emerging as a technology for monitoring volatile organic compounds. Advances in statistical processing methods and data processing technology have made it possible to classify patterns in sensor arrays. Moreover, biomimetic olfactory recognition sensors in the form of pattern recognition have been developed. Deep learning and artificial intelligence technologies have enabled the classification of pattern data from more sensor arrays, and improved artificial olfactory sensor technology is being developed with the introduction of artificial neural networks. An example of an artificial olfactory sensor is the electronic nose. It is an array of various types of sensors, such as metal oxides, electrochemical sensors, surface acoustic waves, quartz crystal microbalances, organic dyes, colorimetric sensors, conductive polymers, and mass spectrometers. It can be tailored depending on the operating environment and the performance requirements of the artificial olfactory sensor. This review compiles artificial olfactory sensor technology based on olfactory mechanisms. We introduce the mechanisms of artificial olfactory sensors and examples used in food quality and stability assessment, environmental monitoring, and diagnostics. Although current artificial olfactory sensor technology has several limitations and there is limited commercialization owing to reliability and standardization issues, there is considerable potential for developing this technology. Artificial olfactory sensors are expected to be widely used in advanced pattern recognition and learning technologies, along with advanced sensor technology in the future" |
| Notes: | "PubMed-not-MEDLINEKim, Chuntae Lee, Kyung Kwan Kang, Moon Sung Shin, Dong-Myeong Oh, Jin-Woo Lee, Chang-Soo Han, Dong-Wook eng 421042-04/Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry/ KGM5472221/Korea Research Institute of Bioscience and Biotechnology/ 2019R1A2C1084687/National Research Foundation of Korea/ 2021R1A2C2006013/National Research Foundation of Korea/ 20200901_0108/Korea Medical Device Development Fund/ Review England 2022/08/20 Biomater Res. 2022 Aug 19; 26(1):40. doi: 10.1186/s40824-022-00287-1" |
