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同时测定瑞舒伐他汀及其降解产物的超高效液相色谱法的优化

Optimization of UPLC Method for Simultaneous Determination of Rosuvastatin and Rosuvastatin Degradation Products.

作者信息

Zakrajšek Jure, Bevc-Černilec Katarina, Bohanec Simona, Urleb Uroš

出版信息

Acta Chim Slov. 2017 Dec;64(4):968-979. doi: 10.17344/acsi.2017.3662.

Abstract

An ultra-performance liquid chromatographic method for simultaneous determination of rosuvastatin and rosuvastatin degradation products was developed and optimized by using fractional factorial experimental design. Optimized method is capable to accurately determine all potential degradation products of rosuvastatin. During the optimization the effect of four chosen chromatographic factors was evaluated. The analytical method operational design region was modeled using Umetrics MODDE software and optimal chromatographic conditions were predicted. The results of the model show that the most important factors to reach good separation between the peaks of rosuvastatin impurities are the pH of buffer solution and the amount of ACN and THF in the mobile phase. The final optimized method using QbD approach was validated for linearity, accuracy and precision for determination of rosuvastatin and rosuvastatin degradation products in rosuvastatin pharmaceutical dosage forms. Limit of detection and quantification were determined for two known specified impurities. The use of experimental designs enabled us to obtain the maximum amount of information about the analytical method design region. Optimization of the method was done without additional experiments, only weighing the responses and rebuilding the statistical model. This approach is very cost-effective when evaluating a variety of different factors and their interactions.

摘要

采用析因实验设计开发并优化了一种同时测定瑞舒伐他汀及其降解产物的超高效液相色谱法。优化后的方法能够准确测定瑞舒伐他汀的所有潜在降解产物。在优化过程中,评估了四个选定色谱因素的影响。使用Umetrics MODDE软件对分析方法操作设计区域进行建模,并预测了最佳色谱条件。模型结果表明,实现瑞舒伐他汀杂质峰之间良好分离的最重要因素是缓冲溶液的pH值以及流动相中乙腈和四氢呋喃的量。采用质量源于设计(QbD)方法的最终优化方法针对瑞舒伐他汀药物剂型中瑞舒伐他汀及其降解产物的测定进行了线性、准确度和精密度验证。测定了两种已知特定杂质的检测限和定量限。实验设计的使用使我们能够获得关于分析方法设计区域的最大信息量。该方法的优化无需额外实验,只需权衡响应并重建统计模型。在评估各种不同因素及其相互作用时,这种方法非常具有成本效益。

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