Issue 11, 2000

Application of artificial neural networks for the simultaneous determination of a mixture of

Abstract

A new technique is proposed for the simultaneous analysis of a mixture of the fluorescent dyes Fluorescein, Rhodamine 6G and Rhodamine B by two kinds of artificial neural networks (ANNs): back propagation neural networks (BPNNs) and radial basis function neural networks (RBFNNs). Both have been successfully applied to model the system. The synchronous fluorescence spectraλ = 25.0 nm) of 52 standard solutions, with concentration 0–0.25 μg ml−1, were used for this purpose. Compared with principal component regression and partial least squares, BPNNs and RBFNNs have proved to be very feasible strategies for solving the problem of the simultaneous determination of components of similar character. Moreover, because of their general validity, the new proposed approaches can also be applied to many other cases.

Article information

Article type
Paper
Submitted
05 Jul 2000
Accepted
25 Aug 2000
First published
25 Oct 2000

Analyst, 2000,125, 2049-2053

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

Q. Li, X. Yao, X. Chen, M. Liu, R. Zhang, X. Zhang and Z. Hu, Analyst, 2000, 125, 2049 DOI: 10.1039/B005395N

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements