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

Kwan Ting Ng; Farid Boussaid; Amine Bermak

doi:10.1109/ISCAS.2010.5536952

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 proceeding › Conference contribution › peer-review

4 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 language	English
Title of host publication	ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems
Subtitle of host publication	Nano-Bio Circuit Fabrics and Systems
Pages	2275-2278
Number of pages	4
DOIs	https://doi.org/10.1109/ISCAS.2010.5536952
Publication status	Published - 2010
Externally published	Yes
Event	2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, ISCAS 2010 - Paris, France Duration: 30 May 2010 → 2 Jun 2010

Publication series

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

Conference

Conference	2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, ISCAS 2010
Country/Territory	France
City	Paris
Period	30/05/10 → 2/06/10

Access to Document

10.1109/ISCAS.2010.5536952

Cite this

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). Article 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

Ng, Kwan Ting ; Boussaid, Farid ; Bermak, Amine. / A frequency-based signature gas identification circuit for SnO₂ gas sensors. ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems. 2010. pp. 2275-2278 (ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems).

@inproceedings{4b1217702e504c0684fdb1c875b62ad7,

title = "A frequency-based signature gas identification circuit for SnO2 gas sensors",

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.",

author = "Ng, {Kwan Ting} and Farid Boussaid and Amine Bermak",

year = "2010",

doi = "10.1109/ISCAS.2010.5536952",

language = "English",

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series = "ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems",

pages = "2275--2278",

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note = "2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, ISCAS 2010 ; Conference date: 30-05-2010 Through 02-06-2010",

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Ng, KT, 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., 5536952, ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, pp. 2275-2278, 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, ISCAS 2010, Paris, France, 30/05/10. https://doi.org/10.1109/ISCAS.2010.5536952

A frequency-based signature gas identification circuit for SnO₂ gas sensors. / Ng, Kwan Ting; Boussaid, Farid; Bermak, Amine.
ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems. 2010. p. 2275-2278 5536952 (ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Ng KT, Boussaid F, Bermak A. 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. 2010. p. 2275-2278. 5536952. (ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems). doi: 10.1109/ISCAS.2010.5536952