Sensors 2014, 14(3), 5221-5238; doi:10.3390/s140305221
Article

Olfaction-Inspired Sensing Using a Sensor System with Molecular Recognition and Optimal Classification Ability for Comprehensive Detection of Gases

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Received: 21 January 2014; in revised form: 20 February 2014 / Accepted: 10 March 2014 / Published: 12 March 2014
(This article belongs to the Section Physical Sensors)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: In this study, we examined the comprehensive detection of numerous volatile molecules based on the olfactory information constructed by using olfaction-inspired sensor technology. The sensor system can simultaneously detect multiple odors by the separation and condensation ability of molecularly imprinted filtering adsorbents (MIFAs), where a MIP filter with a molecular sieve was deposited on a polydimethylsiloxane (PDMS) substrate. The adsorption properties of MIFAs were evaluated using the solid-phase microextraction (SPME) and gas chromatography-mass spectrometry (GC-MS). The results demonstrated that the system embedded with MIFAs possesses high sensitivity and specific selectivity. The digitization and comprehensive classification of odors were accomplished by using artificial odor maps constructed through this system.
Keywords: bio-inspired model; molecular recognition; molecular imprinting; odor material classification; odor map; odor clustering
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MDPI and ACS Style

Imahashi, M.; Watanabe, M.; Jha, S.K.; Hayashi, K. Olfaction-Inspired Sensing Using a Sensor System with Molecular Recognition and Optimal Classification Ability for Comprehensive Detection of Gases. Sensors 2014, 14, 5221-5238.

AMA Style

Imahashi M, Watanabe M, Jha SK, Hayashi K. Olfaction-Inspired Sensing Using a Sensor System with Molecular Recognition and Optimal Classification Ability for Comprehensive Detection of Gases. Sensors. 2014; 14(3):5221-5238.

Chicago/Turabian Style

Imahashi, Masahiro; Watanabe, Masashi; Jha, Sunil K.; Hayashi, Kenshi. 2014. "Olfaction-Inspired Sensing Using a Sensor System with Molecular Recognition and Optimal Classification Ability for Comprehensive Detection of Gases." Sensors 14, no. 3: 5221-5238.

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