Kinetic spectrophotomatric determinations of mixtures of iron, zinc and copper using artificial neural networks

In this paper, chemometric approaches were applied to the simultaneous kinetic analysis of ternary mixtures of lion, zinc and copper. The analysis of these metals was based on the displacement reaction of their EGTA complexes by PAR with the differential reaction rates. The measurement data were then processed by artificial neural networks(ANN), giving a relative standard error of 1.63%, 3.29% and 4.41% for iron, zinc and copper, respectively. The proposed method was also applied to the analysis of feed additive samples with satisfactory results as compared;with that obtained by ICP-AES.