Olfaction-inspired sensing using a sensor system with molecular recognition and optimal classification ability for comprehensive detection of gases

Masahiro Imahashi, Masashi Watanabe, Sunil Kumar Jha, Kenshi Hayashi

Research output: Contribution to journalArticle

4 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)5221-5238
Number of pages18
JournalSensors (Switzerland)
Volume14
Issue number3
DOIs
Publication statusPublished - Mar 12 2014

All Science Journal Classification (ASJC) codes

  • Analytical Chemistry
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering

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