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

Authors :
Jiaqi Chen
Zhiyong Fan
Amine Bermak
Xiaofang Pan
Farid Boussaid
Source :
ISCAS
Publication Year :
2016
Publisher :
IEEE, 2016.

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.

Details

Database :
OpenAIRE
Journal :
2016 IEEE International Symposium on Circuits and Systems (ISCAS)
Accession number :
edsair.doi...........477201688447b14472c551e02f06c157
Full Text :
https://doi.org/10.1109/iscas.2016.7538935