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dc.contributor.authorMajidi, MR
dc.contributor.authorJouyban, A
dc.contributor.authorAsadpour-Zeynali, K
dc.date.accessioned2018-08-26T08:30:40Z
dc.date.available2018-08-26T08:30:40Z
dc.date.issued2005
dc.identifier.urihttp://dspace.tbzmed.ac.ir:8080/xmlui/handle/123456789/52024
dc.description.abstractThe 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.
dc.language.isoEnglish
dc.relation.ispartofELECTROANALYSIS
dc.subjectisoniazid
dc.subjecthydrazine
dc.subjectmodified electrode
dc.subjectgenetic-algorithm-partial least squares (GA-PLS)
dc.subjectprincipal component-artificial neural networks (PC-ANN)
dc.titleGenetic algorithm based potential selection in simultaneous voltammetric determination of isoniazid and hydrazine by using partial least squares (PLS) and artificial neural networks (ANNs)
dc.typeArticle
dc.citation.volume17
dc.citation.issue10
dc.citation.spage915
dc.citation.epage918
dc.citation.indexWeb of science
dc.identifier.DOIhttps://doi.org/10.1002/elan.200403204


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