Gas sensor array based on surface acoustic wave for chemical agent analysis

Author

Zeng, Gui ; Du, Xiaosong ; Hu, Jia ; Huang, Jia ; Jiang, Yadong

Author_Institution

State Key Lab. of Electron. Thin Films & Integrated Devices, Univ. of Electron. Sci. & Technol. of China (UESTC), Chengdu, China

fYear

2011

fDate

16-18 April 2011

Firstpage

374

Lastpage

377

Abstract

Three polymers were chosen for a surface acoustic wave (SAW) sensor array and a pattern recognition approach. Based on a data set collected from 10 candidate sensitive materials for 12 analytes, the selection was accomplished by principal component analysis (PCA) and cluster analysis(CA) methods. Then, the chosen polymers were deposited on three SAW devices combined into an array, and PCA was adapted to classify three gases with similar structures. The results showed that methanol, ethanol and isopropanol could be clearly distinguished by the SAW sensor array, indicating high selectivity of the sensor array.

Keywords

chemical analysis; gas sensors; principal component analysis; sensor arrays; surface acoustic wave sensors; SAW sensor array; chemical agent analysis; cluster analysis; gas sensor array; pattern recognition approach; principal component analysis; surface acoustic wave; Arrays; Chemicals; Coatings; Plastics; Principal component analysis; Surface acoustic waves; PCA; Pattern recognition; SAW; chemical agent analysis; sensor array;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on

Conference_Location

XianNing

Print_ISBN

978-1-61284-458-9

Type

conf

DOI

10.1109/CECNET.2011.5768649

Filename

5768649