P1DH.12 - Development of Human Breath Acetone Detector Based on Gas Chromatographic Technology
- Event
- 17th International Meeting on Chemical Sensors - IMCS 2018
2018-07-15 - 2018-07-19
Vienna, Austria - Chapter
- P-1 - Sensors for Diagnostics and Healthcare
- Author(s)
- H. Du, R. Sun - College of Mechanical and Electronic Engineering, Dalian Minzu University, Dalian (China), J. Wang - School of Electronic Science and Technology, Dalian University of Technology, Dalian (China), Y. Sun - College of Information and Communication Engineering, Dalian Minzu University, Dalian (China), L. Dong - Department of Electrical and Computer Engineering, Iowa State University, Ames, Iowa (USA)
- Pages
- 677 - 680
- DOI
- 10.5162/IMCS2018/P1DH.12
- ISBN
- 978-3-9816876-9-9
- Price
- free
Abstract
Breath acetone is a characteristic biomarker of diabetes. Breath acetone concentration of diabetic patients’ breath is higher than that of the normal people. A breath acetone detector based on gas chromatography and semiconductor gas sensor is presented in this paper. The breath collected from diabetic patients is pushed to the gas chromatography separation channel and accelerate flowing by an acceleration pump, then separated using a serpentine gas chromatographic separation channel fabricated by silicon oxide. Carbon dioxide, breath acetone, and ethanol are separated through the stationary phase in the 26th s, 162th s and 324th s, respectively. Separated carbon dioxide, breath acetone, and ethanol will enter the three branches gas detection channel by a time-sharing conversion switch at the end of the serpentine gas chromatographic separation channel, respectively. Then, breath acetone and ethanol were detected by their respective embedded semiconductor gas sensor based on Y-Zeolite/SnO2 and SnO2, respectively. The test results show that the method achieves the separation and quantitative detection of carbon dioxide, breath acetone, and ethanol, the separation accuracy is 99.7% and the accuracy is 99.2%.