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Simultaneous Quantification of Heavy Metals Using a Solid State Potentiometric Sensor Array
Author(s) -
Gismera Ma Jesús,
Arias Sandra,
Sevilla Ma Teresa,
Procopio Jesús R.
Publication year - 2009
Publication title -
electroanalysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.574
H-Index - 128
eISSN - 1521-4109
pISSN - 1040-0397
DOI - 10.1002/elan.200804501
Subject(s) - potentiometric titration , analyte , potentiometric sensor , partial least squares regression , mercury (programming language) , chemistry , copper , electrode , analytical chemistry (journal) , sensor array , chromatography , materials science , biological system , computer science , machine learning , biology , programming language , organic chemistry
A potentiometric sensor array of four nonspecific electrodes with solid‐state membranes is developed and tested for simultaneous analysis of copper(II), mercury(II), and silver(I) ions. The cross‐sensitivity responses of the sensors for these ions are evaluated. The array potentiometric signals are processed by partial least‐squares regression (PLS) and back propagation artificial neural networks (ANN) to determinate analyte concentrations. The ANN configuration is optimized and two different training algorithms of the ANN are also evaluated. Best results are obtained when the potentiometric sensors are activated and the data are processed using ANN and the gradient descent adaptive algorithm. The system is used to quantify these heavy metals in synthetic samples and in dental amalgams with successful results.