Juckers Alex, Knerr Petra, Harms Frank, Strube Jochen
Institute for Separation and Process Technology, Clausthal University of Technology, 38678 Clausthal-Zellerfeld, Germany.
Martin Christ Gefriertrocknungsanlagen GmbH, 37520 Osterode am Harz, Germany.
Pharmaceutics. 2022 Apr 7;14(4):809. doi: 10.3390/pharmaceutics14040809.
Lyophilization process design still relies mainly on empirical studies with high experimental loads. In the regulatory demanded Quality by Design approach, process modeling is a key aspect. It allows process design, optimization and process control to ensure a safe process and product quality. A modeling approach is outlined that is able to predict the primary drying endpoint and temperature profile of distinct vials. Model parameters are determined by a reproducible determination concept. Simulated results are validated with a fractional factorial Design of Experiments (DoE) in pilot scale. The model shows higher accuracy and precision than the experiments and similar parameter interactions for both the endpoint and temperature determination. This approach can now be used to explore the primary design space in lyophilization process design. This paper proposes a distinct method for endpoint determination and product temperature prediction by a modeling approach based on Velardi et al. combined with a distinct model parameter determination according to Wegiel et al. and Tang et al.
冻干过程设计目前仍主要依赖于大量实验负荷的实证研究。在法规要求的质量源于设计方法中,过程建模是一个关键方面。它能实现过程设计、优化及过程控制,以确保过程安全和产品质量。本文概述了一种能够预测不同小瓶的一次干燥终点和温度曲线的建模方法。模型参数通过可重现的测定概念来确定。模拟结果在中试规模下通过析因实验设计(DoE)进行验证。该模型在终点和温度测定方面比实验具有更高的准确性和精度,且参数相互作用类似。此方法现在可用于探索冻干过程设计中的一次设计空间。本文基于韦拉尔迪等人的方法,结合韦吉尔等人及唐等人独特的模型参数测定,提出了一种通过建模方法进行终点测定和产品温度预测的独特方法。