Resolution of mixtures of three nonsteroidal anti-inflammatory drugs by fluorescence using partial least squares multivariate calibration with previous wavelength selection by Kohonen artificial neural networks

被引:35
作者
Capitán-Vallvey, LF [1 ]
Navas, N
del Olmo, M
Consonni, V
Todeschini, R
机构
[1] Univ Granada, Fac Sci, Dept Analyt Chem, E-18071 Granada, Spain
[2] Univ Milan, Dept Environm Sci, Milano Chemometr & QSAR Res Grp, I-20126 Milan, Italy
关键词
flufenamic acid; mefenamic acid; meclofenamic acid; emission spectra; multivariate calibration; PLS; wavelength; selection; Kohonen-ANN;
D O I
10.1016/S0039-9140(00)00474-4
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
A spectrofluorometric method for the quantitative determination of flufenamic, mefenamic and meclofenamic acids in mixtures has been developed by recording emission fluorescence spectra between 370 and 550 nm with an excitation wavelength of 352 nm. The excitation-emission spectra of these compounds are deeply overlapped which does not allow their direct determination without previous separation. The proposed method applies partial least squares (PLS) multivariate calibration to the resolution of this mixture using a set of wavelengths previously selected by Kohonen artificial neural networks (K-ANN). The linear calibration graphs used to construct the calibration matrix were selected in the ranges from 0.25 to 1.00 mug ml(-1) for flufenamic and meclofenamic acids, and from 1.00 to 4.00 mug ml(-1) for mefenamic acid. A cross-validation procedure was used to select the number of factors. The selected calibration model has been applied to the determination of these compounds in synthetic mixtures and pharmaceutical formulations. (C) 2000 Elsevier Science B.V. All rights reserved.
引用
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页码:1069 / 1079
页数:11
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