Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/41422
Título: Principal component analysis-adaptive neuro-fuzzy inference systems (ANFIS) for the simultaneous spectrophotometric determination of three metals in water samples
Palavras-chave: Spectrophotometry
Chemometrics
Aluminum
Cobalt
Nickel
Alizarin Red S
Sodium alizarinesulfonate
Data do documento: Ago-2009
Editor: Elsevier
Citação: GOODARZI, M.; OLIVIERI, A. C.; FREITAS, M. P. Principal component analysis-adaptive neuro-fuzzy inference systems (ANFIS) for the simultaneous spectrophotometric determination of three metals in water samples. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, [S.l.], v. 73, n. 4, p. 608-614, Aug. 2009. DOI: 10.1016/j.saa.2009.03.002.
Resumo: A spectrophotometric method for the simultaneous determination of Al(III), Co(II) and Ni(II) using Alizarin Red S as a chelating agent was developed. The parameters controlling the behavior of the system were investigated and optimum conditions were selected. The presence of non-linearities was checked using Mallows augmented partial residual plots. To take into account these non-linearities, a principal component analysis-adaptive neuro-fuzzy inference systems (PC-ANFISs) method was used for the analysis of ternary mixtures of Al(III), Co(II) and Ni(II) over the range of 0.05–0.90, 0.05–4.05 and 0.05–0.95 μg mL−1, respectively. Absorbance data were collected between 370 and 700 nm. The method was applied to accurately and simultaneously determines the content of metal ions in several synthetic mixtures.
URI: https://www.sciencedirect.com/science/article/abs/pii/S1386142509001280
http://repositorio.ufla.br/jspui/handle/1/41422
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