PARAFAC and PARAFAC2 calibration models for antihypertensor Nifedipine quantification

被引：11

作者：

Leitao, JMM

da Silva, JCGE

机构：

[1] Univ Porto, Dept Chem, Fac Ciencias, P-4169007 Oporto, Portugal

[2] Fac Farm Coimbra, Ctr Estudos Farmaceut, Lab Metodos Instrumentais Anal, P-3000432 Coimbra, Portugal

来源：

ANALYTICA CHIMICA ACTA | 2006年 / 559卷 / 02期

关键词：

antihypertensor Nifedipine; PARAFAC; PARAFAC2; calibration models; alkaline hydrolysis; UV-vis spectroscopy;

D O I：

10.1016/j.aca.2005.11.062

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

Two-way data structures were obtained by acquiring UV-vis spectra as function of the time of the alkaline hydrolysis reaction of the antihypertensor Nifedipine in dimethylsulfoxide (DMSO). Sets of three-way data structures were obtained from the analysis of solutions with different concentrations of Nifedipine generated by standard additions to DMSO, Nifedipine standard and a pharmaceutical formulation. PARAFAC and PARAFAC2 methods were used in the analysis of these multi-way data structures and calibration models were developed for Nifedipine quantification in pharmaceutical formulations. For all the three-way data structures a better model fit was found with the PARAFAC2 suggesting that the experimental data sets have deviations from trilinearity. The best concentrations estimations were found with the PARAFAC2 model in the analysis of a [concentration x time (s) x wavelength (nm)] three-way data structure which allows the quantification of Nifedipine in pharmaceutical formulations. (c) 2005 Elsevier B.V. All rights reserved.

引用

页码：271 / 280

页数：10

共 30 条

[21]

2-2

[22]

MANSILLAESPINOS.A, 2004, APPL SPECTROSC, V58, P83

[23] Application of multivariate calibration and artificial neural networks to simultaneous kinetic-spectrophotometric determination of carbamate pesticides [J].