谷歌浏览器插件
订阅小程序
在清言上使用

Chemometry and Green Chemistry-Based Chromatographic Analysis of Azilsartan Medoxomil, Cilnidipine and Chlorthalidone in Human Plasma Using Analytical Quality by Design Approach

Journal of Chromatographic Science(2022)

引用 1|浏览2
暂无评分
摘要
According to the green chemistry approach, the usage of carcinogenic and teratogenic organic solvents should be minimized in the development of the analytical method for the safety of the environment and analysts. According to the literature review, no high-performance thin-layer chromatographic (HPTLC) method has been reported yet for concomitant analysis of azilsartan medoxomil (AZM), chlorthalidone (CTD) and cilnidipine (CDP) in human plasma. Hence, a robust and accurate HPTLC method has been developed using safe and non-toxic organic solvents for the concomitant analysis of AZM, CTD and CDP in human plasma, fixed-dose combinations (FDCs) and laboratory mixtures. The HPTLC method was developed by the implementation of the analytical quality by design approach using principles of quality risk management and design of experiments (DoE) for regulatory compliance. The principal component analysis was applied for the risk assessment and analysis of potential method variables in the method development. The principle of DoE was used for the response surface modeling to link identified critical method risk parameters with critical method performance attributes using full factorial design (FFD). The method operable design region and analytical control space were navigated for the optimization of the method as per quality target analytical profile. The developed method was also applied for concomitant analysis of AZM, CTD and CDP in their FDCs and laboratory mixture and results were found in good agreement with the labeled amount of the respective drug.
更多
查看译文
关键词
Green Analytical Chemistry,High-Performance Liquid Chromatography (HPLC),HPLC Method Development,High-Performance Liquid Chromatography,Gas Chromatography
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要