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Artificial olfactory sensor technology that mimics the olfactory mechanism: a comprehensive review
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. Moreo...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9392354/ https://www.ncbi.nlm.nih.gov/pubmed/35986395 http://dx.doi.org/10.1186/s40824-022-00287-1 |
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author | Kim, Chuntae Lee, Kyung Kwan Kang, Moon Sung Shin, Dong-Myeong Oh, Jin-Woo Lee, Chang-Soo Han, Dong-Wook |
author_facet | Kim, Chuntae Lee, Kyung Kwan Kang, Moon Sung Shin, Dong-Myeong Oh, Jin-Woo Lee, Chang-Soo Han, Dong-Wook |
author_sort | Kim, Chuntae |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9392354 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-93923542022-08-21 Artificial olfactory sensor technology that mimics the olfactory mechanism: a comprehensive review Kim, Chuntae Lee, Kyung Kwan Kang, Moon Sung Shin, Dong-Myeong Oh, Jin-Woo Lee, Chang-Soo Han, Dong-Wook Biomater Res Review 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. BioMed Central 2022-08-19 /pmc/articles/PMC9392354/ /pubmed/35986395 http://dx.doi.org/10.1186/s40824-022-00287-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Kim, Chuntae Lee, Kyung Kwan Kang, Moon Sung Shin, Dong-Myeong Oh, Jin-Woo Lee, Chang-Soo Han, Dong-Wook Artificial olfactory sensor technology that mimics the olfactory mechanism: a comprehensive review |
title | Artificial olfactory sensor technology that mimics the olfactory mechanism: a comprehensive review |
title_full | Artificial olfactory sensor technology that mimics the olfactory mechanism: a comprehensive review |
title_fullStr | Artificial olfactory sensor technology that mimics the olfactory mechanism: a comprehensive review |
title_full_unstemmed | Artificial olfactory sensor technology that mimics the olfactory mechanism: a comprehensive review |
title_short | Artificial olfactory sensor technology that mimics the olfactory mechanism: a comprehensive review |
title_sort | artificial olfactory sensor technology that mimics the olfactory mechanism: a comprehensive review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9392354/ https://www.ncbi.nlm.nih.gov/pubmed/35986395 http://dx.doi.org/10.1186/s40824-022-00287-1 |
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