AR1.2 - Cross-reactive graphene and ZnO chemical vapor sensors for precise discrimination
- Event
- 17th International Meeting on Chemical Sensors - IMCS 2018
2018-07-15 - 2018-07-19
Vienna, Austria - Chapter
- Sensor Arrays 1
- Author(s)
- D. Ioannou, C. Shi, Q. Li - Department of Electrical and Computer Engineering, George Mason University, Fairfax, Virginia (USA), H. Ye, H. Wang - Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai (China)
- Pages
- 227 - 228
- DOI
- 10.5162/IMCS2018/AR1.2
- ISBN
- 978-3-9816876-9-9
- Price
- free
Abstract
We report a study of cross-reactive analysis based on graphene and ZnO chemical vapor sensors for precise discrimination. Transient features were extracted by exponential fitting to the sensor response curve at room temperature. Three fitting parameters were extracted for each adsorption/desorption process. A classification method based on two sets of transient features was utilized to improve the selectivity and accuracy of chemical sensing. The algorithm was first verified in the monolayer graphene sensor. The results indicated that the chemical discrimination can be significantly improved by the transient feature analysis. To further improve the performance, two different gas sensors (monolayer graphene and ZnO thin film) were prepared to perform the transient feature analysis. Consequently, two sets of testing results were obtained and the extracted transient features were applied in a cross-reactive analysis to enhance discrimination precision.