以氢琥珀酸低聚亚甲基胍的纯化阶段为例,应用多因素分析实现药物开发的多标准优化

D. Shatalov, K. Trachuk, A. Aydakova, D. A. Akhmedova, I. Ivanov, Dmitry S. Minenkov, Igor Yu. Blazhevich, S. Kedik, ©. D. Shatalov
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引用次数: 0

摘要

目标。该研究开始在药品开发中使用数学建模,特别是多因素分析多标准优化(MAMO)方法。根据提出的算法序列进行实验测试后,使用MAMO.Results对得到的数据进行解释。证明了MAMO在解决制备药物前体低聚亚甲基胍氢琥珀酸酯(OHMG-HS)的纯化应用问题上的可能性。通过确定纯化条件对目标产品中外加剂最终含量的影响的依赖关系,证实了使用所提出的算法作为药物开发工具的便利性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of pharmaceutical development using multivariate analysis of multi-criteria optimization on the example of the stage of purification of oligohexamethyleneguanidine hydrosuccinate
Objectives. The study set out to use mathematical modeling, in particular the method of multifactorial analysis of multicriteria optimization (MAMO), in the development of a pharmaceutical product.Methods. After carrying out experimental tests based on the proposed algorithmic sequence, the obtained data were interpreted using MAMO.Results. The possibility of using MAMO to solve the applied problem of purifying oligohexamethyleneguanidine hydrosuccinate (OHMG-HS), considered as a pharmaceutical precursor for the creation of medicines, was demonstrated.Conclusions. The expediency of using the proposed algorithm as a tool for pharmaceutical development is substantiated by identifying dependencies of the influence of purification conditions on the final content of admixtures in the target product.
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