Referenced Items are not available for this document.
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.
Published in:
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Date of Conference: 16-18 April 2011
- Page(s):
- 374 - 377
- Print ISBN:
- 978-1-61284-458-9
- INSPEC Accession Number:
- 12055324
- Conference Location :
- XianNing
- Digital Object Identifier :
- 10.1109/CECNET.2011.5768649
- Product Type:
- Conference Publications
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
