Continuous wavelet transform and chemometric methods for quantitative resolution of a binary mixture of quinapril and hydrochlorothiazide in tablets

Abstract

A resolução quantitativa da mistura de quinapril e hidroclorotiazida em comprimidos foi realizada com o uso da transformada de ondas contínuas e métodos quimiométricos. No caso da transformada de ondas contínuas, uma série de famílias de ondas foram testadas para achar o ponto ótimo da técnica de processamento de sinais das ondas. A função de onda tipo chapéu mexicano apresentou o melhor resultado. Essa função onda tipo chapéu mexicano foi aplicada aos espectros de absorção do quinapril e da hidroxiclorotiazida na faixa de 200-320 nm para um conjunto padrão de medicamentos na concentração de quinapril de 4,0-20,0 μg mL -1 e hidroclorotiazida de 2,5-12,5 μg mL -1 . As funções de calibração do quinapril em 230,6 nm e da hidroclorotiazida em 271,1 nm foram calculadas em função da relação entre as medidas dos sinais de ondas contínuas e das concentrações. De acordo com o enfoque quimiométrico, foram utilizadas calibrações por regressão dos mínimos quadrados e dos componentes principais, baseadas em um conjunto de teste de 21 misturas, contendo os dois medicamentos e os dados de absorbância correspondentes, na faixa de comprimento de onda igual a 205-290 nm. Todos os métodos propostos foram validados pela análise separada das misturas sintéticas e pela técnica de adição padrão. A utilização do método desenvolvido indicou que a seletividade e a sensibilidade foram satisfatórias na análise dos comprimidos.Quantitative resolution of the quinapril and hydrochlorothiazide mixture in tablets was achieved by using continuous wavelet transform and chemometric methods. In the case of the continuous wavelet transform, various continuous wavelet families were tested in order to find the optimum point of the wavelet signal processing technique. The Mexican hat wavelet function was reported to be the optimal one. The Mexican hat wavelet function was applied to the absorption spectra of quinapril and hydrochlorothiazide in the spectral range of 200-320 nm for standard series of drugs in the concentration range of 4.0-20.0 μg mL -1 quinapril and 2.5-12.5 μg mL -1 hydrochlorothiazide. The calibration functions for quinapril at 230.6 nm and for hydrochlorothiazide at 271.1 nm were calculated based on the relationship between the measurements of continuous wavelet signals and their concentrations. According to the chemometric approach, partial least squares and principal component regression calibrations were constructed by a training set of 21 mixtures, containing two drugs and their corresponding absorbance data, in the wavelength range of 205-290 nm. All proposed methods were validated by the independent analysis of the synthetic mixtures and by the standard addition technique. The application of the methods indicated that their selectivity and the sensitivity were satisfactory. The investigated methods were successfully applied to tablet analysis.

Simultaneous Estimation of Quinapril Hydrochloride and Hydrochlorothiazide from Pharmaceutical Formulation by Using UV, IR and RP-HPLC

“…Various UV-visible spectrophotometric (UV) [6][7][8] , high performance thin layer chromatographic (HPTLC) 9 and high performance liquid chromatographic (HPLC) [10][11][12][13][14] methods have been reported for quantitative determination of QUINA and HCTZ in standalone and combination products. The literature also shows few methods reported for simultaneous estimation of QUINA and HCTZ in fixed dose combination [15][16][17] . Though these methods already exist but none of the methods reported simultaneous quantitative estimation of QUINA and HCTZ by diffuse reflectance using Fourier transform infrared spectrophotometry (DRIFTS), dual wavelength method using UV and stability indicating assay method using HPLC.…”

Ferrocenedicarboxylic acid modified carbon paste electrode: a sensor for electrocatalytic determination of hydrochlorothiazide

“…17,18 Many of which are not sufficiently sensitive [10][11][12][13][14]17,18 and/or are time consuming Vol. 20, No.…”

Simultaneous spectrophotometric determination of binary mixtures of surfactants using continuous wavelet transformation

“…WT to overcome the problem of noisy and incomplete data has been successfully put on a sound statistical basis by Donoho and Johnstone [14,15]. WT was applied to denoising of data [16,17], compressing of signals [18,19], simultaneous determination of chemical species in binary [20][21][22][23][24][25][26][27][28][29][30][31][32], and ternary [33-35,] mixtures and determination of enantiomeric ratio [19].…”