MULTIVARIATE CHEMOMETRIC MODELS USED FOR THE ANALYSIS OF RAFOXANIDE IN PRESENCE OF ITS ALKALINE DEGRADATION PRODUCT

Ahmed Hussein Abdel-Monem

Abstract


Objective: Development and validation of three simple, accurate and precise chemometric models for the determination of rafoxanide in presence of its alkaline degradation product without preliminary separation. Methods: These methods are classical least square (CLS), principal component regression (PCR) and partial least square (PLS-1). A 2-factor 5-level experimental design was built leading to 25 mixtures containing different ratios of rafoxanide and its alkaline degradation product. Thirteen mixtures were used as a training set and the other twelve were used as a validation set. Results: Using of multi-wavelengths instead of the single wavelength spectrophotometry has greatly improved the precision and predictive abilities of these multivariate calibrations. Conclusion: The proposed methods have been found to be accurate, precise and can be used for determination of the drug in pure form and pharmaceutical formulations as well as in the presence of its degradation product without any preliminary separation steps. 


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Innoriginal: International Journal of Sciences (ISSN: 2349-7041)

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