Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/197969
Type: Artigo de periódico
Title: Elimination Of Iron Interference In The Molecular Spectrophotometric Determination Of Aluminum In Soil Extracts Using Artificial Neural Networks.
Author: de Andrade, João Carlos
Coscione, Aline R
Poppi, Ronei J
Mello, Cesar
Abstract: An artificial neural network (ANN) calibration model was developed to determine aluminum in the presence of iron in soil extracts, using xylenol orange as chromogenic reagent. The spectral data of synthetic mixtures of Al(3+) and Fe(3+) as well as of the soil extracts, were recorded in the range between 410 and 580 nm. Method validation was carried out using 18 soil extracts. The results gave good linear correlations between the ANN model and the ICP OES measurements for both species.
Rights: aberto
Identifier DOI: 
Address: http://www.ncbi.nlm.nih.gov/pubmed/18781027
Date Issue: 2008
Appears in Collections:Unicamp - Artigos e Outros Documentos

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