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Full Validation of an HPLC-UV Analytical Method for Azithromycin Quantification Using Comparative Approaches: Total
Wafaa El-Ghaly1,2, Asmae Elouari1, Lamia Zaari Lambarki3
1Mohammed VI University of Sciences and Health (UM6SS), Faculty of Pharmacy, Boulevard Mohammed Taïeb Naciri, Commune Hay Hassani, 82403, Casablanca, Morocco.
This study validates an innovative method for Azithromycin quantification using accuracy profiles. The total error approach provides accurate routine uncertainty, ensuring robust pharmaceutical application and reliable drug dosage control.
Area of Science:
- Analytical Chemistry
- Pharmaceutical Analysis
- Method Validation
Background:
- Accurate quantification of Azithromycin is crucial for reliable dosage control in conventional release tablets.
- Analytical method validation ensures the precision and trustworthiness of quantification results for informed decision-making.
- Azithromycin, a complex molecule derived from erythromycin, necessitates rigorous analytical scrutiny.
Purpose of the Study:
- To validate an innovative method for Azithromycin quantification utilizing accuracy profiles.
- To compare measurement uncertainty calculations using two distinct formulas (Feinberg et al. and Saffaj & Ihssane) against the ISO GUM approach.
- To assess the robustness and accuracy of the proposed quantification method for pharmaceutical applications.
Main Methods:
- Liquid chromatography with a reversed-phase C18 stationary phase and UV detection at 210 nm.
- Isocratic elution using a mobile phase of acetonitrile and dipotassium hydrogen phosphate buffer (60:40, v/v) at pH 8 and 40°C.
- Application of accuracy profiles and calculation of measurement uncertainty using specified formulas and the ISO GUM approach.
Main Results:
- Accuracy profiles demonstrated that anticipated findings remained within the 95% tolerance interval and ±5% acceptance limits.
- Measurement uncertainty values derived from the total error approach formulas were comparable.
- The ISO GUM approach tended to overestimate expanded uncertainty compared to empirical estimation from validation data.
Conclusions:
- The total error approach facilitates accurate routine uncertainty closure, emphasizing comprehensive method validation.
- The proposed quantification method is robust for pharmaceutical use, exhibiting good accuracy within predefined limits.
- The method ensures 95% tolerance and uncertainty limits are within the acceptable ±5% range, supporting reliable Azithromycin dosage.
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