Rapid Detection of Analytes with Improved Selectivity Using Coated Microcantilever Chemical Sensors and Estimation Theory

Document Type

Conference Proceeding



Format of Original

4 p.

Publication Date



Institute of Electrical and Electronics Engineers (IEEE)

Source Publication

2007 IEEE Sensors Proceedings

Source ISSN


Original Item ID

doi: 10.1109/ICSENS.2007.4388343


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.


Published as part of the proceedings of the conference, 2007 IEEE Sensors, 2007: 91-94. DOI.