Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/65276
Type: Artigo de periódico
Title: Neuro-genetic approach for optimisation of the spectrophotometric catalytic determination of cobalt
Author: Pereira, ER
Mello, C
Costa, PA
Arruda, MAZ
Poppi, RJ
Abstract: A neuro-genetic approach was developed to optimise an automated procedure for the spectrophotometric determination of cobalt in bovine liver, fish and mussel samples by using a monosegmented flow system. The method exploited the Co(II) catalysed oxidation of Tiron by hydrogen peroxide. The values related to reagent concentrations and mean residence time were optimised in terms of slope and correlation coefficient of the calibration curve. The neural networks were used to model the system, relating the parameters of the monosegmented flow system with those of the calibration curve. The genetic algorithm was applied to attain the optimum values from the model developed by the neural networks. The detection and quantification Limits were 1.66 and 5.33 ng l(-1) Co, respectively. (C) 2001 Elsevier Science B.V. All rights reserved.
Subject: optimisation
neural network
genetic algorithm
catalytic cobalt determination
monsegmented flow system
Country: Holanda
Editor: Elsevier Science Bv
Rights: fechado
Identifier DOI: 10.1016/S0003-2670(00)01390-8
Date Issue: 2001
Appears in Collections:Unicamp - Artigos e Outros Documentos

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