Application of artificial neural networks in multifactor optimization of an on-line microwave FIA system for catalytic kinetic determination of ruthenium (III)

Citation
Yb. Zeng et al., Application of artificial neural networks in multifactor optimization of an on-line microwave FIA system for catalytic kinetic determination of ruthenium (III), TALANTA, 54(4), 2001, pp. 603-609
Citations number
21
Language
INGLESE
art.tipo
Article
Categorie Soggetti
Spectroscopy /Instrumentation/Analytical Sciences
Journal title
TALANTA
ISSN journal
0039-9140 → ACNP
Volume
54
Issue
4
Year of publication
2001
Pages
603 - 609
Database
ISI
SICI code
0039-9140(20010530)54:4<603:AOANNI>2.0.ZU;2-Z
Abstract
A methodology based on the coupling of experimental design and artificial n eural networks (ANNs) is proposed in the optimization of a flow injection s ystem for the spectrophotometric determination of Ru (III) with m-acetylchl orophosphonazo (CPA-mA), which has been for the first time used for the opt imization of high-performance capillary zone electrophoresis (J. Chromatogr . A 793 (1998) 317). And since it has been applied in many other regions li ke micellar electrokinetic chromatography, ion-interaction chromatography, HPLC, etc. (J. Chromatogr. A 850 (1999) 345; J. Chromatogr. A 799 (1998) 35 ; J. Chromatogr. A 799 (1998) 47). An orthogonal design is utilized to desi gn the experimental protocol, in which five variables are varied simultaneo usly (Anal. Chim. Acta 360 (1998) 227). Feedforward-type neural networks wi th extended delta-bar-delta (EDBD) algorithm are applied to model the syste m, and the optimization of the experimental conditions is carried out in th e neural network with 5-5-1 structure, which have been confirmed to be able to provide the maximum performance. In contrast to traditional methods, th e use of this methodology has advantages in terms of a reduction in analysi s time and an improvement in the ability of optimization. Under the optimum experimental conditions, Ru (III) can be determined in the range 0.040 0.6 0 mug ml(-1) with detection limit of 0.03 mug ml(-1) and the sampling frequ ency of 34 h(-1). The method has been applied to the determination of Ru (I II) in refined ore as well as in secondary alloy and provided satisfactory results. (C) 2001 Elsevier Science B.V. All rights reserved.