铜和多原料药产品自动制样系统的方法开发及快速开发应用新策略

L. Liu, Ariel Mouallem, Kangping Xiao
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引用次数: 0

摘要

分析样品制备和测试的自动化由于其高效率和连续操作一直很有吸引力,但由于操作的复杂性和方法的发展,它也非常具有挑战性。研究集中在自动化系统的方法开发是极其罕见的,很少已经发表的主题。在本文中,我们研究了这一主题的几个独特和先进的方面。选择包含两个api的示例产品,用单一方法进行测试。这两种api的产品优势明显不同,使得单一方法的开发更具挑战性。此外,我们还采用了“绿色化学”方法,避免在溶解介质中使用任何有机溶剂,以实现环保解决方案。然后对几个关键操作参数的选择和优化进行了深入的研究。成功的方法是使用一种称为“自动在线标准”的新策略来实现的。在几种情况下,将这种新方法与常规方法进行了比较,证明了其高效且显著提高了采收率。所提出的方法可以大大减少方法开发时间,这通常被认为是自动化系统实际部署的最大障碍。本文应用的自动化系统最适合于含量均匀性测试,但也适用于混合均匀性测试、效价分析和降解产物测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Method Development on Automated Sample Preparation System for Cu and Assay Testing in a Product with Multiple Apis and New Strategy for Quick Development and Application
Automation of analytical sample preparation and testing is always attractive due to its high efficiency and continuous operation, but it can also be very challenging due to the operational complexity and method development. Studies focused on method development in automated systems are extremely rare and little has been published on the subject. In this paper, we investigate several unique and advanced aspects of this subject. The example product is selected containing two APIs to be tested by a single method. The product strengths of the two APIs are significantly different, making development of the single method much more challenging. In addition, we apply the additional challenge of using a “green chemistry” approach, avoiding any organic solvent in the dissolving media in order to achieve an environmentally friendly solution. A thorough study on the selection and optimization of several key operational parameters are then discussed. The successful method is achieved using a new strategy called “Automated Online Standard” methodology. This novel approach is compared to the conventional procedure in several scenarios, demonstrating its high effectiveness with significantly improved recovery. The proposed approach can substantially reduce the method development time, generally considered the biggest obstacle to practical deployment of automated systems. The automated system applied in this paper is most suitable for content uniformity testing, but is also applicable for blend uniformity testing, potency assays and degradation product tests.
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