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Use of Sequential Injection Analysis to construct a potentiometric electronic tongue: Application to the multidetermination of heavy metals

AuthorsMimendia, Aitor; Legin, Andrey; Merkoçi, Arben ; Valle, Manel del
KeywordsHeavy metals
Artificial Neural Network
Potentiometric sensors
Sequential Injection Analysis
Automated electronic tongue
Issue DateApr-2010
CitationSensors and Actuators B: Chemical 146(2): 420-426 (2010)
AbstractAn automated potentiometric electronic tongue (ET) was developed for the quantitative determination of Cd2+, Cu2+ and Pb2+ heavy metal mixtures. The Sequential Injection Analysis (SIA) technique was used in order to automate the obtaining of input data. The combined response was modelled by means of Artificial Neural Networks (ANNs). The sensor array was formed by four Ion Selective Electrode (ISE) sensors: two based on chalcogenide glasses, Cd sensor and Cu sensor, and the rest on poly(vinyl chloride) membranes, Pb sensor and Zn sensor. The sensors were first characterized with respect to one and two analytes, by means of high-dimensionality calibrations, aided by the use of the SIA flow system; this characterization enabled an interference study of great practical utility. To take profit of the dynamic nature of the sensors response, each kinetic profile was compacted by Fast Fourier Transform (FFT) and the extracted coefficients used as inputs for the ANN in the multidetermination application. Finally, analyses were performed employing synthetic samples to validate obtained results.
Description7 páginas, 5 figuras, 6 tablas.-- Trabajo presentado a: "The 13th International Symposium on Olfaction and Electronic Nose — ISOEN 2009".
Publisher version (URL)http://dx.doi.org/10.1016/j.snb.2009.11.027
Appears in Collections:(CIN2) Artículos
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