A New Strategy for the Software-Assisted LC Separations of Ketoconazole and Its Impurities

Analytical quality by design and the use of dissimilar chromatographic systems can be employed to accelerate chromatographic separations. Herein, a software (S-Matrix)-assisted platform was used to proficiently screen, optimize and select the optimal parameters for the chromatographic separation of ketoconazole and its related impurities. This approach evaluated the various chromatographic parameters in a stepwise manner based on the statistical tools and provided an in-depth understanding of the critical parameters influencing the peak selectivities and separations. It was demonstrated that dissimilar conditions, such as different stationary phases, mobile phase pH and organic modifiers (i.e., critical method variables), can improve the peak resolution, while the critical quality attributes can provide conditions appropriate for quantification purposes via a quality target analytical method. Furthermore, an orthogonal method was established to support the primary method. The orthogonality between the two methods was defined by the correlation matrix between the two systems using the Pearson correlation coefficient and was found to be 0.12. Using the optimized method, the primary method was validated as per International Council for Harmonization in the range of 0.05-1.0% for impurities and 80.0-120.0% for ketoconazole, thereby indicating the suitability of the method for use in quality control laboratories.