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Sensors 2011, 11(5), 4688-4701; doi:10.3390/s110504688
Review

Potentiometric Electronic Tongues for Foodstuff and Biosample Recognition—An Overview

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Received: 1 February 2011; in revised form: 23 March 2011 / Accepted: 25 March 2011 / Published: 28 April 2011
(This article belongs to the Special Issue Bioinspired Sensor Systems)
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Abstract: Potentiometric sensors are attractive tools for the fabrication of various electronic tongues that can be used in wide area of applications, ranging from foodstuff recognition to environmental monitoring and medical diagnostics. Their main advantages are the ability to modify their selectivity (including cross-sensitivity effects) and the possibility of miniaturization using appropriate construction methods for the transducer part (e.g., with the use of solid-state technology). In this overview various examples of the design, performance, and applications of potentiometric electronic tongues are presented. The results summarize recent research in the field conducted in the Department of Microbioanalytics, Warsaw University of Technology (WUT).
Keywords: ion selective electrodes; electronic tongue; principal components analysis; artificial neural networks; partial least squares; sensor array ion selective electrodes; electronic tongue; principal components analysis; artificial neural networks; partial least squares; sensor array
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Ciosek, P.; Wróblewski, W. Potentiometric Electronic Tongues for Foodstuff and Biosample Recognition—An Overview. Sensors 2011, 11, 4688-4701.

AMA Style

Ciosek P, Wróblewski W. Potentiometric Electronic Tongues for Foodstuff and Biosample Recognition—An Overview. Sensors. 2011; 11(5):4688-4701.

Chicago/Turabian Style

Ciosek, Patrycja; Wróblewski, Wojciech. 2011. "Potentiometric Electronic Tongues for Foodstuff and Biosample Recognition—An Overview." Sensors 11, no. 5: 4688-4701.



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