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Two multivariate calibration methods, including principal component regression (PCR) and partial least square (PLS), have been used
for the determination of rosuvastatin calcium in the presence of its acid degradation products. The PCR and PLS techniques are useful in spectral analysis due to the simultaneous inclusion of many spectral wavelengths instead of the single wavelength used in derivative spectrophotometry, thus a great improvement in the precision and predictive abilities of these multivariate calibrations is observed. A calibration set was constructed for the mixture and the best model was used for the prediction of the concentration of the selected drug. The proposed procedures were applied successfully in the determination of rosuvastatin calcium in laboratory-prepared mixtures and in commercial preparations. Rosuvastatin calcium was analyzed with mean accuracies 99.93 ± 0.699 and 100.06±0.630 using the PCR and PLS methods respectively. The validity of the proposed methods was assessed using the standard addition technique. The proposed procedures were found to be rapid and simple and required no preliminary separation. They can therefore be used for the routine analysis of rosuvastatin in quality-control laboratories.

Rosuvastatin ; Chemometry; Stability indicating method.
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