Document Type
Conference Proceeding
Language
eng
Format of Original
4 p.
Publication Date
10-2007
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Source Publication
2007 IEEE Sensors Proceedings
Source ISSN
978-1-4244-1261-7
Original Item ID
doi: 10.1109/ICSENS.2007.4388343
Abstract
Rapid detection of analytes with improved selectivity is achieved though the use of estimation theory to analyze the response of polymer-coated microcantilever chemical sensors. In general, chemical sensors exhibit partial selectivity and can have relatively long response times. Using estimation theory, it is possible to make short-term response predictions from past data. This makes it possible to use the transient information (response time), often unique to an analyte/coating pair, to achieve an improvement in analyte species recognition while simultaneously allowing for a reduction in the time required for identification and quantification. An extended Kalman filter is used as a recursive online approach to refine the estimate of the sensor's future response. Both identification and quantification are thus possible as soon as the filter estimate achieves a high confidence level. Also, with improved selectivity, identification is possible using fewer sensors in an array.
Recommended Citation
Wenzel, Michael J.; Josse, Fabien; Yaz, Edwin E.; Heinrich, Stephen M.; and Datskos, P. G., "Rapid Detection of Analytes with Improved Selectivity Using Coated Microcantilever Chemical Sensors and Estimation Theory" (2007). Civil and Environmental Engineering Faculty Research and Publications. 58.
https://epublications.marquette.edu/civengin_fac/58
Comments
Accepted version. Published as part of the proceedings of the conference, 2007 IEEE Sensors, 2007: 91-94. DOI. © 2007 The Institute of Electrical and Electronics Engineers. Used with permission.