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

Sensors

Masahiro Imahashi¹  Masashi Watanabe¹  Sunil Kumar Jha¹ 

[1] Department of Electronics, Graduate School of Information Science and Electrical Engineering, Kyushu University, 744 Motooka, Fukuoka 819-0395, Japan

关键词: bio-inspired model;    molecular recognition;    molecular imprinting;    odor material classification;    odor map;    odor clustering;   

DOI  :  10.3390/s140305221

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.