Paper
19 March 2009 ISFET electronic tongue system for environmental multi-ion sensing with independent component analysis signal processing
Wen-Yaw Chung, Febus Reidj G. Cruz, Harold Szu, Dorota G. Pijanowska, Marek Dawgul, Wladislaw Torbicz, Piotr B. Grabiec, Bohdan Jarosewicz, Jung-Lung Chiang, Kuo-Chung Chang, Cheanyeh Cheng, Wei-Po Ho
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Abstract
In this paper, we present the design of electronic tongue system for multi-ion sensing applications. The ion-sensitive field-effect transistor (ISFET) detects the concentration of a particular ion in aqueous solution. However, when the given chemical solution contains two or more ions, the ISFET sensor can only provide the combined concentration of ions. In this end, our electronic tongue included a blind source separation (BSS) method of independent component analysis (ICA) to process the ISFET signals and to extract the concentrations of individual ions in the solution. The results of ISFET modeling based on fixed interference method (FIM) serve as a priori knowledge to help solve this blind source problem. Experiments are conducted on this electronic tongue system using aqueous solution containing hydrogen and sodium ions flowing through the array of dual H+ ISFET devices. The results of ICA processing successfully determined the concentration of hydrogen ions amidst the presence of sodium ions. This capability of ion separation allows us to move towards the development of smart electronic tongue systems for environmental and water quality monitoring.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wen-Yaw Chung, Febus Reidj G. Cruz, Harold Szu, Dorota G. Pijanowska, Marek Dawgul, Wladislaw Torbicz, Piotr B. Grabiec, Bohdan Jarosewicz, Jung-Lung Chiang, Kuo-Chung Chang, Cheanyeh Cheng, and Wei-Po Ho "ISFET electronic tongue system for environmental multi-ion sensing with independent component analysis signal processing", Proc. SPIE 7343, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VII, 73431D (19 March 2009); https://doi.org/10.1117/12.821635
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Cited by 2 scholarly publications.
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KEYWORDS
Field effect transistors

Ions

Independent component analysis

Tongue

Signal processing

Hydrogen

Sodium

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