A frequency-based signature gas identification circuit for SnO2 gas sensors

Kwan Ting Ng, Farid Boussaid, Amine Bermak

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper presents a gas identification circuit for tin oxide (SnO 2) gas sensors. The proposed circuit uses 2 gas sensors with different characteristics to achieve gas identification. A spike train is generated during operation, with the frequency of spike occurrence being gas dependent but concentration invariant. As a result, the spike firing frequency can be used to achieve gas identification. The calibration of this readout technique requires only a single exposure to the target gases to extract the sensor resistances. The low complexity processing is suitable for on-chip implementation. The functionality of this circuit has been validated with real data from our in-house fabricated sensors.

Original languageEnglish
Title of host publicationISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems
Subtitle of host publicationNano-Bio Circuit Fabrics and Systems
Pages2275-2278
Number of pages4
DOIs
Publication statusPublished - 31 Aug 2010
Event2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, ISCAS 2010 - Paris, France
Duration: 30 May 20102 Jun 2010

Publication series

NameISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems

Other

Other2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, ISCAS 2010
CountryFrance
CityParis
Period30/5/102/6/10

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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    Ng, K. T., Boussaid, F., & Bermak, A. (2010). A frequency-based signature gas identification circuit for SnO2 gas sensors. In ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems (pp. 2275-2278). [5536952] (ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems). https://doi.org/10.1109/ISCAS.2010.5536952