Kinetic Spectrophotomatric Determinations of Mixtures of Iron, Zinc and Copper Using Artificial Neural Networks

Abstract

Abstract: In this paper, chemometric approaches were applied to the simultaneous kinetic analysis of ternary mixtures of iron, 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.

Key words: Artificial neural networks, Differential kinetic analysis, Spectrophotometry, MetaLIons

CLC Number:

O652

TrendMD:

NI Yong-Nian, LIU Chao . Kinetic Spectrophotomatric Determinations of Mixtures of Iron, Zinc and Copper Using Artificial Neural Networks[J]. Chem. J. Chinese Universities, 1999, 20(4): 529.

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Kinetic Spectrophotomatric Determinations of Mixtures of Iron, Zinc and Copper Using Artificial Neural Networks

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