IQUIR   05412
INSTITUTO DE QUIMICA ROSARIO
Unidad Ejecutora - UE
artículos
Título:
Principal component analysis - adaptive neuro-fuzzy inference systems (ANFIS) for the simultaneous spectrophotometric determination of three metals in water samples
Autor/es:
GOODARZI, M.; OLIVIERI, A. C.; FREITAS, M.
Revista:
SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY.
Editorial:
Elsevier
Referencias:
Lugar: Amsterdam; Año: 2009 vol. 73 p. 608 - 614
ISSN:
1386-1425
Resumen:
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 microg/mL, 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.