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A Study on the Selectivity of Gas Sensors by Sensing Pattern Recognition

감지 패턴 인식에 의한 가스센서의 선택성 연구

  • Lee, Sung-Pil (Department of Electronic Engineering, Kyungnam University)
  • Received : 2011.09.26
  • Accepted : 2011.11.08
  • Published : 2011.11.30

Abstract

We report on the building of a micro sensor array based on typical semiconductor fabrication processes aimed at monitoring selectively a specific gas in ambient of other gases. Chemical sensors can be applied for an electronic nose and/or robots using this technique. Microsensor array was fabricated on the same chip using 0.6${\mu}m$ CMOS technology, and unique gas sensing patterns were obtained by principal component analysis from the array. $SnO_2$/Pt sensor for CO gas showed a high selectivity to buthane gas and humidity. $SnO_2$ sensor for hydrogen gas, however, showed a low selectivity to CO and buthane gas. We can obtain more distinguishable patterns that provide the small sensing deviation(the high seletivity) toward a given analyte in the response space than in the chemical space through the specific parameterization of raw data for chemical image formation.

Keywords

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