Application of artificial neural networks for the simultaneous determination of a mixture of fluorescent dyes by synchronous fluorescence

Citation
Qf. Li et al., Application of artificial neural networks for the simultaneous determination of a mixture of fluorescent dyes by synchronous fluorescence, ANALYST, 125(11), 2000, pp. 2049-2053
Citations number
20
Language
INGLESE
art.tipo
Article
Categorie Soggetti
Chemistry & Analysis","Spectroscopy /Instrumentation/Analytical Sciences
Journal title
ANALYST
ISSN journal
0003-2654 → ACNP
Volume
125
Issue
11
Year of publication
2000
Pages
2049 - 2053
Database
ISI
SICI code
0003-2654(2000)125:11<2049:AOANNF>2.0.ZU;2-6
Abstract
A new technique is proposed for the simultaneous analysis of a mixture of t he fluorescent dyes Fluorescein, Rhodamine 6G and Rhodamine B by two kinds of artificial neural networks (ANNs): back propagation neural networks (BPN Ns) and radial basis function neural networks (RBFNNs). Both have been succ essfully applied to model the system. The synchronous fluorescence spectra (Delta lambda = 25.0 nm) of 52 standard solutions, with concentration 0-0.2 5 mug ml(-1), were used for this purpose. Compared with principal component regression and partial least squares, BPNNs and RBFNNs have proved to be v ery feasible strategies for solving the problem of the simultaneous determi nation of components of similar character. Moreover, because of their gener al validity, the new proposed approaches can also be applied to many other cases.