Two chemometric methods, Classical least square and Inverse least square were applied for simultaneous estimation of aspirin and dipyridamole in their marketed pharmaceutical formulation. A considerable spectral overlap (87.1%) was observed in the range of 210 nm-360 nm. Beer’s law was obeyed for both drugs in the concentration ranges of 1-17 µg/ml and 3-23 µg/ml for both aspirin and dipyridamole, respectively. 25 mixtures were prepared and analyzed at 25 wavelength points between 210 nm-360 nm with the interval of 2 nm (Δλ = 2 nm). A validation set design of the concentration data corresponding to the aspirin and dipyridamole mixtures was organized statistically to maximize the information content from the spectra and to minimize the error of multivariate calibrations. Good percentage recoveries and proper statistical data obtained proved the suitability and efficiency of the proposed procedures for routine analysis. The numerical calculations were performed with the MATLAB® R2010a software and Microsoft excel.
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