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

Jiaqi Chen, Xiaofang Pan, Farid Boussaid, Amine Bermak, Zhiyong Fan

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

4 Citations (Scopus)

Abstract

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 languageEnglish
Title of host publicationISCAS 2016 - IEEE International Symposium on Circuits and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1866-1869
Number of pages4
Volume2016-July
ISBN (Electronic)9781479953400
DOIs
Publication statusPublished - 29 Jul 2016
Event2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016 - Montreal, Canada
Duration: 22 May 201625 May 2016

Other

Other2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016
CountryCanada
CityMontreal
Period22/5/1625/5/16

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Keywords

  • acetone
  • gas sensor
  • ZnO nanostructure

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

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