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Flowsheet optimization of an integrated continuous purification-processing pharmaceutical manufacturing operation

机译:整合的连续纯化-制药生产流程的流程优化

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摘要

In this work, a continuous API purification process has been optimized using an integrated flowsheet model. The simulation is dynamic in nature and includes an API purification step (crystallization), followed by filtration, drying and mixing of the API with an excipient. For the first time, this study demonstrates the use of a reduced order model (ROM) within the mixing unit for prediction of particle velocities that is coupled with a population balance model (PBM) of the mixer to quantify macroscopic properties. The main objective is to optimize the integrated flowsheet model such that there is an overall improvement in process operation. The optimum cooling schedule during crystallization has been obtained. The optimum values of filter pressure gradient, drying gas temperature and mixer RPM (speed) have also been determined. It is seen that the optimized operating conditions give a narrower CSD of the API crystals and lower RSD (Relative standard deviation) of the final mixed product, compared to nonoptimal operating condition. The developed model can be used as an effective tool in control and optimization and can have future implementation in design of a Process Analytical Technology (PAT) system which can lead to improved operation of the manufacturing process.
机译:在这项工作中,使用集成流程图模型对连续API纯化过程进行了优化。该模拟本质上是动态的,并且包括API纯化步骤(结晶),然后将API与赋形剂过滤,干燥和混合。这项研究首次证明了在混合单元内使用降阶模型(ROM)预测颗粒速度,并与混合器的种群平衡模型(PBM)结合使用以量化宏观性质。主要目标是优化集成流程图模型,以便在流程操作方面进行整体改进。已经获得了结晶过程中的最佳冷却方案。还确定了过滤器压力梯度,干燥气体温度和混合器RPM(速度)的最佳值。可以看出,与非最佳操作条件相比,优化的操作条件使API晶体的CSD较窄,最终混合产品的RSD(相对标准偏差)较低。所开发的模型可以用作控制和优化的有效工具,并且可以在未来的过程分析技术(PAT)系统设计中实现,从而可以改善制造过程的运行。

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