Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN 47907, United States.
School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, United States.
Int J Pharm. 2019 May 30;563:259-272. doi: 10.1016/j.ijpharm.2019.04.003. Epub 2019 Apr 3.
Data provided by in situ sensors is always affected by some level of impreciseness as well as uncertainty in the measurements due to process operation disturbance or material property variance. In-process data precision and reliability should be considered when implementing active product quality control and real-time process decision making in pharmaceutical continuous manufacturing. Data reconciliation is an important strategy to address such imperfections effectively, and to exploit the data redundancy and data correlation based on process understanding. In this study, a correlation between tablet weight and main compression force in a rotary tablet press was characterized by the classical Kawakita equation. A load cell, situated at the exit of the tablet press chute, was also designed to measure the tablet production rate as well as the tablet weight. A novel data reconciliation strategy was proposed to reconcile the tablet weight measurement subject to the correlation between tablet weight and main compression force, in such, the imperfect tablet weight measurement can be reconciled with the much more precise main compression force measurement. Special features of the Welsch robust estimator to reject the measurement gross errors and the Kawakita model parameter estimation to monitor the material property variance were also discussed. The proposed data reconciliation strategy was first evaluated with process control open-loop and closed-loop experimental data and then integrated into the process control system in a continuous tablet manufacturing line. Specifically, the real-time reconciled tablet weight measurements were independently verified with an at-line Sotax Auto Test 4 tablet weight measurements every five minutes. Promising and reliable performance of the reconciled tablet weight measurement was demonstrated in achieving process automation and quality control of tablet weight in pilot production runs.
由于过程操作干扰或材料特性变化,原位传感器提供的数据在测量时总是会受到一定程度的不精确性和不确定性的影响。在制药连续制造中实施主动产品质量控制和实时过程决策时,应考虑过程数据的精度和可靠性。数据校正是有效解决这些不完美问题的重要策略,它利用基于过程理解的数据冗余和数据相关性。在这项研究中,通过经典的川口方程来描述旋转压片机中片剂重量和主要压缩力之间的关系。还设计了一个位于片剂压出槽出口处的称重传感器,用于测量片剂的生产速度和片剂重量。提出了一种新的数据校真理策略,根据片剂重量和主要压缩力之间的关系来校真理片剂重量的测量值,从而可以用更精确的主要压缩力测量值来校真理不完美的片剂重量测量值。还讨论了 Welsch 稳健估计器拒绝测量粗差和川口模型参数估计监测材料特性变化的特殊功能。该数据校真理策略首先使用过程控制开环和闭环实验数据进行评估,然后集成到连续片剂制造线上的过程控制系统中。具体来说,每隔五分钟使用在线 Sotax Auto Test 4 片剂重量测量仪对实时校真理的片剂重量测量值进行独立验证。在试点生产运行中,校真理的片剂重量测量值在实现过程自动化和片剂重量质量控制方面表现出了有希望和可靠的性能。