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

Authors
Ni, YN Liu, C
Citation
Yn. Ni et C. Liu, Kinetic spectrophotomatric determinations of mixtures of iron, zinc and copper using artificial neural networks, CHEM J CH U, 20(4), 1999, pp. 529-533
Citations number
10
Categorie Soggetti
Chemistry
Journal title
CHEMICAL JOURNAL OF CHINESE UNIVERSITIES-CHINESE
ISSN journal
02510790 → ACNP
Volume
20
Issue
4
Year of publication
1999
Pages
529 - 533
Database
ISI
SICI code
0251-0790(199904)20:4<529:KSDOMO>2.0.ZU;2-Z
Abstract
In this paper, chemometric approaches were applied to the simultaneous kine tic 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 the n 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. Th e proposed method was also applied to the analysis of feed additive samples with satisfactory results as compared;with that obtained by ICP-AES.