Browsing by Author "Buker, Eda"

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Fractional and continuous wavelet transforms for the simultaneous spectral analysis of a binary mixture system
(Elsevier, 2011) Dinc, Erdal; Baleanu, Dumitru; Buker, Eda; Baleanu, Dumitru; 6981
A combined application of the fractional wavelet transform-continuous wavelet transform to the quantitative resolution of the overlapping signals of olmesartan modoxomil and hydrochlorothiazide in a binary mixture was presented. In this work the recorded absorption signals of two compounds in the range 4-12 mu g/mL olmesartan and 2-10 mu g/mL hydrochlorothiazide were processed by the fractional transform approach and with the continuous wavelet transform, respectively. The proposed combined complex signal analysis method was validated by analyzing the synthetic binary mixtures of the related compound. By analyzing the statistical parameters we conclude that the new approach is suitable to be used for the quality control of the commercial samples of compounds. (C) 2011 Published by Elsevier B.V.
Simultaneous determination of hydrochlorotiazide and olmesartan modoxomil in a binary mixture by the calibrations of the spectral linear regression equations
(Chiminform Data S A, 2012) Baleanu, Dumitru; Buker, Eda; Baleanu, Dumitru; 6981
Two new approaches were proposed for the quantitative analysis of the commercial samples consisting of hydrochlorotiazide (HCT) and olmesartan modoxomil (OLM). The proposed bivariate calibration (BC) and multivariate linear regression calibration (MLRC) methods are based on the simultaneous use of the linear regression equations for each compound. The UV absorption spectra of calibration solutions in the linear concentration range of 1.0-16.0 mu g/mL for both HCT and OLM were recorded between the 200-300 nm wavelength regions. The individual linear regression equations of the subjected compounds were obtained by using the relationships between the concentration and absorbance values at the 62 wavelength points with the interval of 1.0 nm from 218 nm to 279 nm. The BC and MLRC model based linear regression equations were validated by analyzing the binary mixture samples containing HCT and OLM in the different concentration compositions. The proposed BC and MLRC approaches were found to be accurate, precise and rapid for the simultaneous determination of HCT and OLM in combined dosage form.