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Process QbD Case Study: An Integrated PAT Approach for a Dynamic Pharmaceutical Co-precipitation Process Characterization and Process Design Space Development

机译:过程QBD案例研究:一种用于动态药物共沉淀过程表征和工艺设计空间开发的集成PAT方法

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Previously we had explored the concepts of developing an integrated PAT approach to monitor and map the state of a dynamic pharmaceutical co-precipitation process in real time, and to determine the nucleation and growth mechanisms occurred during a pharmaceutical co-precipitation process. The aim of current work was to develop a process QbD case study that demonstrates the feasibility of using an integrated PAT approach for a dynamic pharmaceutical co-precipitation process characterization and design space development at laboratory scale. A dynamic co-precipitation process by gradually introducing water to the ternary system of naproxen-Eudragit LlOO-alcohol was monitored at real-time in situ via Lasentec FBRM and PVM. The 3-D map of count-time-chord length revealed three distinguishable process stages: incubation, transition, and steadyrstate. The effects of high risk process variables (slurry temperature, stirring rate, and water addition rate) on both derived co-precipitation process rates and final chord-length-distribution were evaluated systematically using a 3~3 full factorial design. Critical process variables were identified via ANOVA for both transition and steady state. General Linear Models (GLM) were then used for parameter estimation for each critical variable. Clear trends about effects of each critical variable during transition and steady state were found by GLM and were interpreted using fundamental process principles and Nyvlt's transfer model. Neural network models were able to link process variables with response variables at transition and steady state with R~2 of 0.88~0.98. PVM images evidenced nucleation and crystal growth. Therefore, this work illustrated the possibility of combining first-principle modeling, mechanistic modeling, and empirical modeling approaches for dynamic process characterization and process design space development. Secondly, the technical feasibility of using an integrated PAT approach for in-depth process understanding and process design space development was demonstrated. Finally, the regulatory science perspective around the core concepts was briefly discussed.
机译:此前,我们探索了开发集成的PAT方法的概念来实时监测和映射动态药物共沉淀过程的状态,并确定药物共沉淀过程中发生的成核和生长机制。目前的工作的目的是开发一个过程QBD案例研究,表明了在实验室规模的动态药物共沉淀过程表征和设计空间开发中使用集成的PAT方法的可行性。通过Lasentec FBRM和PVM实时监测通过逐渐引入Naproxen-Eudragit Lloo-醇的三元体系的动态共沉淀过程。计数时弦长的3d地图显示了三个可区分的过程阶段:孵育,过渡和稳定。系统地利用3〜3个完整因子设计来评估高风险过程变量(浆料温度,搅拌速率和水加入率)对衍生共沉淀处理率和最终弦长分布的影响。通过ANOVA识别关键过程变量,用于过渡和稳态。然后将一般线性模型(GLM)用于每个临界变量的参数估计。通过GLM发现在过渡和稳定状态期间的每个临界变量的效果的清晰趋势,并使用基本过程原理和NYVLT的转移模型解释。神经网络模型能够将过程变量与转换和稳定状态的响应变量连接,R〜2为0.88〜0.98。 PVM图像明确了成核和晶体生长。因此,这项工作说明了与动态过程表征和过程设计空间开发的第一原理建模,机械建模和经验建模方法结合起来的可能性。其次,证明了使用集成的PAT方法进行深入过程理解和过程设计空间开发的技术可行性。最后,讨论了核心概念周围的监管科学的观点。

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