Genetic Algorithm Based Potential Selection in Simultaneous Voltammetric Determination of Isoniazid and Hydrazine by Using Partial Least Squares (PLS) and Artificial Neural Networks (ANNs)

The voltammetric behavior of isoniazid and hydrazine at an overoxidized polypyrrole modified glassy carbon electrode has been investigated. The obtained cyclic voltammograms showed that their oxidation peaks were overlapped and it is difficult to determine them individually from a mixture without se...

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Bibliographic Details
Published in:Electroanalysis (New York, N.Y.) N.Y.), 2005-05, Vol.17 (10), p.915-918
Main Authors: Majidi, Mir Reza, Jouyban, Abolghasem, Asadpour-Zeynali, Karim
Format: Article
Language:English
Subjects:
Genetic-algorithm-partial least squares (GA-PLS)
Hydrazine
Isoniazid
Modified electrode
Principal component-artificial neural networks (PC-ANN)
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Summary:The voltammetric behavior of isoniazid and hydrazine at an overoxidized polypyrrole modified glassy carbon electrode has been investigated. The obtained cyclic voltammograms showed that their oxidation peaks were overlapped and it is difficult to determine them individually from a mixture without separation. To overcome this limitation, a procedure was proposed for resolution of overlapped voltammetric signals from mixtures of isoniazid and hydrazine. In this procedure, genetic algorithm was used for the selection of potentials for partial least squares. A feed forward artificial neural network with back propagation error algorithm was used to process the nonlinear relationship between currents and concentrations of hydrazine and isoniazid. The proposed method was suitable for determination of isoniazid in pharmaceutical tablets and detection of hydrazine impurities in the same samples.
ISSN:1040-0397
1521-4109
DOI:10.1002/elan.200403204