多元统计
药剂学
最小二乘函数近似
计算机科学
数学
统计
医学
药理学
估计员
作者
Mohammed Alaoui Mansouri,Mourad Kharbach,Abdelaziz Bouklouze
标识
DOI:10.1016/j.xphs.2023.12.004
摘要
Abstract
The present review encompasses various applications of multivariate curve resolution- alternating least squares (MCR-ALS) as a promising data handling, which is issued by analytical techniques in pharmaceutics. It involves different sections starting from a concise theory of MCR-ALS and four detailed applications in drugs analysis. Dissolution, stability, polymorphism, and quantification are the main four detailed applications. The data generated by analytical techniques associated with MCR-ALS deals accurately with different challenges compared to other chemometric tools. For each reviewed purpose, it was explained how MCR-ALS was applied and detailed information was given. Different approaches were introduced to overcome challenges that limit the use of MCR-ALS efficiently in pharmaceutical mixture were also discussed.
科研通智能强力驱动
Strongly Powered by AbleSci AI