Artificial odor map and discrimination of odorants using the odor separating system

Masahiro Imahashi; Kazuki Miyagi; Tadashi Takamizawa; Kenshi Hayashi

doi:10.1063/1.3626294

Artificial odor map and discrimination of odorants using the odor separating system

Masahiro Imahashi, Kazuki Miyagi, Tadashi Takamizawa, Kenshi Hayashi

Electronic Devices

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

In this research, achievement of the odor discrimination was examined. At first, odor separating system was developed which imitates the odor receptive mechanism of biological olfaction. A rough detection of odor becomes possible with this device. Therefore, this device makes it possible to measure the molecular size and the polarity of odorant and discriminate the mixed odor. Then, measuring representative odor molecules belonging to biological glomeruli clusters, odor information is extracted from time course patterns obtained by the system. The extracted features could be used for odor mapping close to the odor map created in the odor receptive mechanism which can classify odor quality by their odor cluster attributes.

Original language	English
Title of host publication	Olfaction and Electronic Nose
Subtitle of host publication	Proceedings of the 14th International Symposium on Olfaction and Electronic Nose, ISOEN 2011
Pages	27-28
Number of pages	2
DOIs	https://doi.org/10.1063/1.3626294
Publication status	Published - Oct 3 2011
Event	14th International Symposium on Olfaction and Electronic Nose, ISOEN 2011 - New York City, NY, United States Duration: May 2 2011 → May 5 2011

Publication series

Name	AIP Conference Proceedings
Volume	1362
ISSN (Print)	0094-243X
ISSN (Electronic)	1551-7616

Other

Other	14th International Symposium on Olfaction and Electronic Nose, ISOEN 2011
Country/Territory	United States
City	New York City, NY
Period	5/2/11 → 5/5/11

All Science Journal Classification (ASJC) codes

Physics and Astronomy(all)

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10.1063/1.3626294

Cite this

Artificial odor map and discrimination of odorants using the odor separating system. / Imahashi, Masahiro; Miyagi, Kazuki; Takamizawa, Tadashi et al.
Olfaction and Electronic Nose: Proceedings of the 14th International Symposium on Olfaction and Electronic Nose, ISOEN 2011. 2011. p. 27-28 (AIP Conference Proceedings; Vol. 1362).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Imahashi, M, Miyagi, K, Takamizawa, T & Hayashi, K 2011, Artificial odor map and discrimination of odorants using the odor separating system. in Olfaction and Electronic Nose: Proceedings of the 14th International Symposium on Olfaction and Electronic Nose, ISOEN 2011. AIP Conference Proceedings, vol. 1362, pp. 27-28, 14th International Symposium on Olfaction and Electronic Nose, ISOEN 2011, New York City, NY, United States, 5/2/11. https://doi.org/10.1063/1.3626294

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abstract = "In this research, achievement of the odor discrimination was examined. At first, odor separating system was developed which imitates the odor receptive mechanism of biological olfaction. A rough detection of odor becomes possible with this device. Therefore, this device makes it possible to measure the molecular size and the polarity of odorant and discriminate the mixed odor. Then, measuring representative odor molecules belonging to biological glomeruli clusters, odor information is extracted from time course patterns obtained by the system. The extracted features could be used for odor mapping close to the odor map created in the odor receptive mechanism which can classify odor quality by their odor cluster attributes.",

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AB - In this research, achievement of the odor discrimination was examined. At first, odor separating system was developed which imitates the odor receptive mechanism of biological olfaction. A rough detection of odor becomes possible with this device. Therefore, this device makes it possible to measure the molecular size and the polarity of odorant and discriminate the mixed odor. Then, measuring representative odor molecules belonging to biological glomeruli clusters, odor information is extracted from time course patterns obtained by the system. The extracted features could be used for odor mapping close to the odor map created in the odor receptive mechanism which can classify odor quality by their odor cluster attributes.

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Artificial odor map and discrimination of odorants using the odor separating system

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