Abstract
In this paper, a portable electronic nose (E-nose) based on hybrid carbon nanotube-SnO2 gas sensors is described. The hybrid gas sensors were fabricated using electron beam (E-beam) evaporation by means of powder mixing. The instrument employs feature extraction techniques including integral and primary derivative, which lead to higher classification performance as compared to the classical features (ΔR and ΔR/R0). It was shown that doping of carbon nanotube (CNT) improves the sensitivity of hybrid gas sensors, while quantity of CNT has a direct effect on the selectivity to volatile organic compounds, i.e., methanol (MeOH) and ethanol (EtOH). The real-world applications of this E-nose were also demonstrated. Based on the proposed methods, this instrument can monitor and classify 1 vol% of MeOH contamination in whiskeys.
| Original language | English |
|---|---|
| Pages (from-to) | 392-399 |
| Number of pages | 8 |
| Journal | Sensors and Actuators, B: Chemical |
| Volume | 147 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 3 Jun 2010 |
Keywords
- Carbon nanotube
- E-nose
- Feature extraction techniques
- Gas sensor
- Metal oxide
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