A hierarchical ZnO nanostructure gas sensor for human breath-level acetone detection

J. Chen; X. Pan; Farid Boussaid; A. Bermak; Z. Fan

doi:10.1109/ISCAS.2016.7538935

A hierarchical ZnO nanostructure gas sensor for human breath-level acetone detection

J. Chen
, X. Pan
, Farid Boussaid
, A. Bermak
, Z. Fan

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

8 Citations (Scopus)

Abstract

© 2016 IEEE.Analyzing the concentration of acetone in human breath constitutes a promising non-invasive means to diagnose the onset of diabetes, with acetone levels of at least 1.8ppm typically associated to individuals suffering from diabetes. In this paper, we report the performance of a hierarchical ZnO nanostructure gas sensor for acetone detection. The fabricated gas sensor can detect concentrations as low as 1ppm while operating at a comparatively lower temperature of 200°C. In addition, the proposed gas sensor can be fabricated on a silicon wafer using a MEMS process, making it thereby possible to fully integrate gas sensing and electronic circuitry on a single silicon chip.

Original language	English
Title of host publication	Proceedings - IEEE International Symposium on Circuits and Systems
Editors	M Sawan
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	1866-1869
Number of pages	4
Volume	2016-July
ISBN (Electronic)	9781479953400
ISBN (Print)	9781479953400
DOIs	https://doi.org/10.1109/ISCAS.2016.7538935
Publication status	Published - 29 Jul 2016
Event	2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016 - Montreal, Canada Duration: 22 May 2016 → 25 May 2016

Conference

Conference	2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016
Country/Territory	Canada
City	Montreal
Period	22/05/16 → 25/05/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1109/ISCAS.2016.7538935

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Chen, J., Pan, X., Boussaid, F., Bermak, A., & Fan, Z. (2016). A hierarchical ZnO nanostructure gas sensor for human breath-level acetone detection. In M. Sawan (Ed.), Proceedings - IEEE International Symposium on Circuits and Systems (Vol. 2016-July, pp. 1866-1869). Article 7538935 IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ISCAS.2016.7538935

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title = "A hierarchical ZnO nanostructure gas sensor for human breath-level acetone detection",

abstract = "{\textcopyright} 2016 IEEE.Analyzing the concentration of acetone in human breath constitutes a promising non-invasive means to diagnose the onset of diabetes, with acetone levels of at least 1.8ppm typically associated to individuals suffering from diabetes. In this paper, we report the performance of a hierarchical ZnO nanostructure gas sensor for acetone detection. The fabricated gas sensor can detect concentrations as low as 1ppm while operating at a comparatively lower temperature of 200°C. In addition, the proposed gas sensor can be fabricated on a silicon wafer using a MEMS process, making it thereby possible to fully integrate gas sensing and electronic circuitry on a single silicon chip.",

author = "J. Chen and X. Pan and Farid Boussaid and A. Bermak and Z. Fan",

year = "2016",

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doi = "10.1109/ISCAS.2016.7538935",

language = "English",

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note = "2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016 ; Conference date: 22-05-2016 Through 25-05-2016",

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Chen, J, Pan, X, Boussaid, F, Bermak, A & Fan, Z 2016, A hierarchical ZnO nanostructure gas sensor for human breath-level acetone detection. in M Sawan (ed.), Proceedings - IEEE International Symposium on Circuits and Systems. vol. 2016-July, 7538935, IEEE, Institute of Electrical and Electronics Engineers, pp. 1866-1869, 2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016, Montreal, Canada, 22/05/16. https://doi.org/10.1109/ISCAS.2016.7538935

A hierarchical ZnO nanostructure gas sensor for human breath-level acetone detection. / Chen, J.; Pan, X.; Boussaid, Farid et al.
Proceedings - IEEE International Symposium on Circuits and Systems. ed. / M Sawan. Vol. 2016-July IEEE, Institute of Electrical and Electronics Engineers, 2016. p. 1866-1869 7538935.

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

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N2 - © 2016 IEEE.Analyzing the concentration of acetone in human breath constitutes a promising non-invasive means to diagnose the onset of diabetes, with acetone levels of at least 1.8ppm typically associated to individuals suffering from diabetes. In this paper, we report the performance of a hierarchical ZnO nanostructure gas sensor for acetone detection. The fabricated gas sensor can detect concentrations as low as 1ppm while operating at a comparatively lower temperature of 200°C. In addition, the proposed gas sensor can be fabricated on a silicon wafer using a MEMS process, making it thereby possible to fully integrate gas sensing and electronic circuitry on a single silicon chip.

AB - © 2016 IEEE.Analyzing the concentration of acetone in human breath constitutes a promising non-invasive means to diagnose the onset of diabetes, with acetone levels of at least 1.8ppm typically associated to individuals suffering from diabetes. In this paper, we report the performance of a hierarchical ZnO nanostructure gas sensor for acetone detection. The fabricated gas sensor can detect concentrations as low as 1ppm while operating at a comparatively lower temperature of 200°C. In addition, the proposed gas sensor can be fabricated on a silicon wafer using a MEMS process, making it thereby possible to fully integrate gas sensing and electronic circuitry on a single silicon chip.

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DO - 10.1109/ISCAS.2016.7538935

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VL - 2016-July

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BT - Proceedings - IEEE International Symposium on Circuits and Systems

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ER -

A hierarchical ZnO nanostructure gas sensor for human breath-level acetone detection

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