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.
Highlights
The demands for sensing and digitization of odor information are increasing rapidly
Our previous studies revealed the adsorbing properties of various molecularly imprinted filtering adsorbents (MIFAs) using solid-phase microextraction (SPME) and GC–MS measurements [23,31]
These results suggest that the MIFAs with a specific site for fatty acids, ketones, and aldehydes could selectively adsorb the template odorant, and filter other odorants
Summary
The demands for sensing and digitization of odor information are increasing rapidly. Sensors 2014, 14 technology, have been actively researched [1,2] These high-performance sensors can measure the difference between VOCs and classify chemicals by analyzing datasets obtained using conventional instruments and sensor arrays, e.g., chemoresistor or quartz crystal microbalance sensors [3]. By adding sensing mechanism inspired by recognition processes of biological olfaction to these sensor array devices, the higher levels of qualitative detection and discrimination of many odorants was realized [3]. Malnic and coworkers have revealed that biological olfaction discriminates odors using different combinations of active signals from ORs, and individual ORs recognize certain specific molecular properties of odorants, e.g., several consecutive carbon chain lengths and functional groups [10,11]
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