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Artificial olfaction in the 21st Century
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Covington, James A., Marco, Santiago, Persaud, Krishna C., Schiffman, Susan S. and Nagle, H. Troy (2021) Artificial olfaction in the 21st Century. IEEE Sensors Journal, 21 (11). pp. 12969-12990. doi:10.1109/jsen.2021.3076412
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Official URL: http://dx.doi.org/10.1109/jsen.2021.3076412
Abstract
The human olfactory system remains one of the most challenging biological systems to replicate. Humans use it without thinking, where it can measure offer protection from harm and bring enjoyment in equal measure. It is the system’s real-time ability to detect and analyze complex odors that makes it difficult to replicate. The field of artificial olfaction has recruited and stimulated interdisciplinary research and commercial development for several applications that include malodor measurement, medical diagnostics, food and beverage quality, environment and security. Over the last century, innovative engineers and scientists have been focused on solving a range of problems associated with measurement and control of odor. The IEEE Sensors Journal has published Special Issues on olfaction in 2002 and 2012. Here we continue that coverage. In this article, we summarize early work in the 20th Century that served as the foundation upon which we have been building our odor-monitoring instrumental and measurement systems. We then examine the current state of the art that has been achieved over the last two decades as we have transitioned into the 21st Century. Much has been accomplished, but great progress is needed in sensor technology, system design, product manufacture and performance standards. In the final section, we predict levels of performance and ubiquitous applications that will be realized during in the mid to late 21st Century.
| Item Type: | Journal Article | ||||||||||||
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| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | ||||||||||||
| Divisions: | Faculty of Science > Engineering | ||||||||||||
| SWORD Depositor: | Library Publications Router | ||||||||||||
| Library of Congress Subject Headings (LCSH): | Olfactory sensors, Chemical detectors, Olfactometry, Odors, Machine learning | ||||||||||||
| Journal or Publication Title: | IEEE Sensors Journal | ||||||||||||
| Publisher: | Institute of Electrical and Electronic Engineers | ||||||||||||
| ISSN: | 1530-437X | ||||||||||||
| Official Date: | 1 June 2021 | ||||||||||||
| Dates: |
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| Volume: | 21 | ||||||||||||
| Number: | 11 | ||||||||||||
| Page Range: | pp. 12969-12990 | ||||||||||||
| DOI: | 10.1109/jsen.2021.3076412 | ||||||||||||
| Status: | Peer Reviewed | ||||||||||||
| Publication Status: | Published | ||||||||||||
| Access rights to Published version: | Open Access | ||||||||||||
| RIOXX Funder/Project Grant: |
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