Virtual electronic nose with diagnosis model for the detection of hydrogen and methane in breath from gastrointestinal bacteria

@article{Gao2017VirtualEN,
  title={Virtual electronic nose with diagnosis model for the detection of hydrogen and methane in breath from gastrointestinal bacteria},
  author={Fan Gao and Xi Zhang and Xusheng Zhang and Min Wang and Ping Wang},
  journal={2017 ISOCS/IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)},
  year={2017},
  pages={1-3}
}
Breath test is a prevalent detection method for gastrointestinal function, which is widely used on the diagnosis of carbohydrate malabsorption, and other gastrointestinal diseases. In this paper, a design of virtual electronic nose was presented to detect the concentration of hydrogen, methane and carbon dioxide in breath. The sample was pushed into chromatographic column for separation and every component was detected by one sensor. The concentration of hydrogen and methane were achieved after… CONTINUE READING

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