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.


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.

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