过程(计算)
关键质量属性
工艺工程
设计质量
计算机科学
制造工程
工艺设计
过程分析技术
工艺优化
质量(理念)
过程建模
过程控制
实验设计
比例(比率)
生化工程
工业工程
在制品
下游(制造业)
工程类
过程集成
运营管理
化学工程
数学
哲学
物理
操作系统
认识论
统计
量子力学
作者
L. Klepzig,Alex Juckers,Petra Knerr,Frank Harms,Jochen Strube
出处
期刊:Processes
[Multidisciplinary Digital Publishing Institute]
日期:2020-10-21
卷期号:8 (10): 1325-1325
被引量:19
摘要
Lyophilization stabilizes formulated biologics for storage, transport and application to patients. In process design and operation it is the link between downstream processing and with final formulation to fill and finish. Recent activities in Quality by Design (QbD) have resulted in approaches by regulatory authorities and the need to include Process Analytical Technology (PAT) tools. An approach is outlined to validate a predictive physical-chemical (rigorous) lyophilization process model to act quantitatively as a digital twin in order to allow accelerated process design by modeling and to further-on develop autonomous process optimization and control towards real time release testing. Antibody manufacturing is chosen as a typical example for actual biologics needs. Literature is reviewed and the presented procedure is exemplified to quantitatively and consistently validate the physical-chemical process model with aid of an experimental statistical DOE (design of experiments) in pilot scale.
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