用于连续片剂制造的传感器网络
Sensor Network for Continuous Tablet Manufacturing.
作者信息
Ganesh Sudarshan, Moreno Mariana, Liu Jianfeng, Gonzalez Marcial, Nagy Zoltan, Reklaitis Gintaras
机构信息
School of Chemical Engineering, Purdue University, West Lafayette, IN 47907, USA.
School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, USA.
出版信息
Int Symp Process Syst Eng. 2018;44:2149-2154. doi: 10.1016/b978-0-444-64241-7.50353-0.
The progress in the mechanistic understanding of the unit operations and the availability of multiple sensor technologies enable the inline implementation of data reconciliation and gross error detection methods in continuous pharmaceutical manufacturing. In this work, we demonstrate the benefits of accurate real-time monitoring of the process state in a continuous tableting process, with case studies representative of common situations in pilot-plant or manufacturing line implementation.
对单元操作的机理理解取得进展以及多种传感器技术的可得性，使得数据协调和重大误差检测方法能够在连续制药生产中在线实施。在这项工作中，我们通过代表中试工厂或生产线实施中常见情况的案例研究，展示了在连续压片过程中对过程状态进行准确实时监测的益处。
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