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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Legin, Andrey
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Publications (5/5 displayed)
- 2022Prediction of Carbonate Selectivity of PVC-Plasticized Sensor Membranes with Newly Synthesized Ionophores through QSPR Modelingcitations
- 2015Development of label-free impedimetric platform based on new conductive polyaniline polymer and three-dimensional interdigitated electrode array for biosensor applicationscitations
- 2011Multiway processing of data generated with a potentiometric electronic tongue in a SIA systemcitations
- 2010Use of Sequential Injection Analysis to construct a potentiometric electronic tongue: Application to the multidetermination of heavy metalscitations
- 2010Use of Sequential Injection Analysis to construct a potentiometric electronic tongue: Application to the multidetermination of heavy metalscitations
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article
Use of Sequential Injection Analysis to construct a potentiometric electronic tongue: Application to the multidetermination of heavy metals
Abstract
An 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. © 2009 Elsevier B.V. All rights reserved.