Martin Niels Lasse, Schomberg Ann Kathrin, Finke Jan Henrik, Abraham Tim Gyung-Min, Kwade Arno, Herrmann Christoph
Institute of Machine Tools and Production Technology (IWF), Technische Universität Braunschweig, Langer Kamp 19b, 38106 Braunschweig, Germany.
Center of Pharmaceutical Engineering (PVZ), Technische Universität Braunschweig, Franz-Liszt-Str. 35A, 38106 Braunschweig, Germany.
Pharmaceutics. 2021 Jun 30;13(7):996. doi: 10.3390/pharmaceutics13070996.
In pharmaceutical manufacturing, the utmost aim is reliably producing high quality products. Simulation approaches allow virtual experiments of processes in the planning phase and the implementation of digital twins in operation. The industrial processing of active pharmaceutical ingredients (APIs) into tablets requires the combination of discrete and continuous sub-processes with complex interdependencies regarding the material structures and characteristics. The API and excipients are mixed, granulated if required, and subsequently tableted. Thereby, the structure as well as the properties of the intermediate and final product are influenced by the raw materials, the parametrized processes and environmental conditions, which are subject to certain fluctuations. In this study, for the first time, an agent-based simulation model is presented, which enables the prediction, tracking, and tracing of resulting structures and properties of the intermediates of an industrial tableting process. Therefore, the methodology for the identification and development of product and process agents in an agent-based simulation is shown. Implemented physical models describe the impact of process parameters on material structures. The tablet production with a pilot scale rotary press is experimentally characterized to provide calibration and validation data. Finally, the simulation results, predicting the final structures, are compared to the experimental data.
在制药生产中,最大目标是可靠地生产高质量产品。模拟方法允许在规划阶段对工艺进行虚拟实验,并在运行中实施数字孪生。将活性药物成分(API)工业加工成片剂需要将离散和连续子过程相结合,这些子过程在材料结构和特性方面具有复杂的相互依存关系。API和辅料混合,如有需要进行制粒,随后压片。因此,中间产品和最终产品的结构以及特性受原材料、参数化工艺和环境条件的影响,而这些因素会有一定波动。在本研究中,首次提出了一种基于智能体的模拟模型,该模型能够预测、跟踪和追溯工业压片过程中间产物的结构和特性。因此,展示了在基于智能体的模拟中识别和开发产品及过程智能体的方法。所实施的物理模型描述了工艺参数对材料结构的影响。对中试规模旋转压片机的片剂生产进行实验表征,以提供校准和验证数据。最后,将预测最终结构的模拟结果与实验数据进行比较。