An application of continuous wavelet transform to electrochemical signals for the quantitative analysis
Continuous wavelet transform (CWT) is a new powerful tool for removing noise, irrelevant information and signal baseline correction of voltammograms. In this application, morlet continuous wavelet transforms (ML-CWT) for signal treatments were found to be suitable among the wavelet families. MLCWT approach was applied to the peak current data vectors consisting of 139 data points in the potential range of (−1004) – (−1556) mV versus Ag/AgCl reference electrode. Peak current data for the calibration and prediction steps in the concentration range of 83.0–375.0 µg=mL zafirlukast were obtained by using Osteryoung Square Wave Adsorption Stripping Voltammetry (OSWAdSV).
Three different calibration models namely mean centering calibration (MCC), principal component regression (PCR) and partial least squares (PLS) were constructed by using the relationship between concentration set and CWT-coefficients of the peak current data. The proposed methods were validated by analyzing the synthetic samples and standard addition samples. These methods were successfully applied to the quantitative analysis of zafirlukast in tablets and satisfactory results were reported.
KeywordsPartial Little Square Continuous Wavelet Principal Component Regression Commercial Tablet Piperonyl Butoxide
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- [Wa00]Walczak, B.: Wavelets in Chemistry. Elsevier Press, Amsterdam, The Netherlands (2000)Google Scholar
- [DB04]Dinc, E., Baleanu, D.: Application of the wavelet method for the simultaneous quantitative determination of benazepril and hydrochlorothiazide in their mixtures. J.A.OAC Int., 87(4), 834–841 (2004)Google Scholar
- [DBK04]Dinc, E., Baleanu, D., Kanbur, M.: Spectrophotometric multicomponent determination of tetramethrin, propoxur and piperonyl butoxide in insecticide formulation by principal component regression and partial least squares techniques with continuous wavelet transform. Can. J. Anal. Scienc. Spectr., 49(4), 218–225 (2004)Google Scholar
- [DOB05]Dinc, E., Ozdemir, A., Baleanu, D.: Comparative study of the continuous wavelet transform, derivative and partial least squares methods applied to the overlapping spectra for the simultaneous quantitative resolution of two-component mixtures. J. Pharm. and Biomed. Anal., 37(3), 569–575 (2005)CrossRefGoogle Scholar
- [DBUAE04]Dinc, E., Baleanu, D., Ustundag, O. Aboul-Enein, H.Y.: Continuous wavelet transformation applied to the simultaneous quantitative analysis of twocomponent mixtures. Pharmazie, 59(8), 618–623 (2004)Google Scholar
- [DB00]Dinc, E., Baleanu, D.: Multicomponent quantitative resolution of binary mixtures by using continuous wavelet transform. J. AOAC Int., 87(2), 360–365 (2000)Google Scholar
- [FFTMCFS00]Ficarra, R., Ficarra, P., Tommasini, S., Melardi, S., Calabro, M.L., Furlanetto, S., Semreen, M.: Determination of zafirlukast, a selective leukotriene antagonist, human plasma by normal-phase high-performance liquid chromatography with uorescence detection. J. Pharm. Biomed. Anal., 23(1), 169–174 (2000)CrossRefGoogle Scholar
- [EAEMP96]European Agency for the Evaluation of Medical Products. ICH Topic Q2B Note for Guidance on Validation of Analytical Procedures: Methodology GPMP/ICH/281/95 (1996)Google Scholar