Analytical Quality by Design-Based Robust RP-HPLC Method for Quantitative Estimation of Pregabalin and Etoricoxib in
Janvi Shah1, Rajendra Kotadiya1, Rashmin Patel1
1Department of Pharmaceutical Quality Assurance, Ramanbhai Patel College of Pharmacy, Charotar University of Science and Technology, CHARUSAT Campus, Changa, Dist-Anand, Gujarat 388421, India.
Background:
The Central Drugs Standard Control Organization approved a bilayered, uncoated, fixed-dosage combination tablet formulation containing pregabalin (75 mg) and etoricoxib (60 mg) in November 2019 to control prolonged back pain with neuropathic components.
Objective:
This research aims to create an analytical quality by design-assisted reversed phase (RP)-HPLC method for quantifying pregabalin and etoricoxib in tablet formulation.
Methods:
The best chromatographic conditions were a Phenomenex C8 column (250 × 4.6 mm, 5.6 μm) and a mobile phase of 0.35% orthophosphoric acid -acetonitrile (1 + 1, by volume). A flow rate of 1 mL/min was used with a detection wavelength of 220 nm.
Results:
The optimized reversed phase HPLC method was successfully validated by the International Conference on Hormonization guideline Q2(R1). Moreover, the percentage assay of pregabalin and etoricoxib tablet formulation was 99.05 and 100.02% w/w, respectively, using the validated RP-HPLC method.
Conclusion:
The newly developed analytical quality by design-assisted RP-HPLC method has several advantages, including shortened analytical time (2.65 min and 7.45 min pregabalin and etoricoxib, respectively), efficient separation in terms of well-defined peaks, and a simple mobile phase combination.
Highlights:
The use of analytical quality by design principles and the design of the experiment tool allowed the detection of influential parameters critical for achieving the most favourable chromatographic conditions for accurately quantifying individual drugs using the RP-HPLC method. The compliance of the results with the ICH criteria validated the method. As a result, adopting the analytical quality by design methodology ensured the development of a more robust method that can generate consistent, dependable, and quality data throughout the process while also saving time.
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