Author : Amr Mohamed Badawy
CoAuthors : Amr M. Badawey, Nadia M. Mostafa, Abd El Aziz B. Abd El- Aleem, Nesrine T. Lamie
Source : Journal of Advanced Pharmaceutical Research
Date of Publication : 11/2011
Abstract :
Two multivariate calibration methods, including principal component regression (PCR) and partial least square (PLS), have been used for the
determination of rosuvastatin in the presence of its oxidative 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 in laboratory‐prepared mixtures and in commercial preparations. Rosuvastatin was analyzed with
mean accuracies 99.93 ± 0.866 and 99.99±0.645 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.
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