生物制造
过程分析技术
分析
过程(计算)
计算机科学
自动化
设计质量
可视化
数据科学
质量(理念)
系统工程
生物制药
工程类
制造工程
在制品
数据挖掘
运营管理
生物技术
哲学
操作系统
认识论
生物
下游(制造业)
机械工程
作者
Dhanuka P. Wasalathanthri,Matthew S. Rehmann,Yuanli Song,Yan Gu,Mi Luo,Chun Shao,Letha Chemmalil,Jong-Chan Lee,Sanchayita Ghose,Michael Borys,Julia Ding,Zheng Jian Li
摘要
Abstract Real‐time monitoring of bioprocesses by the integration of analytics at critical unit operations is one of the paramount necessities for quality by design manufacturing and real‐time release (RTR) of biopharmaceuticals. A well‐defined process analytical technology (PAT) roadmap enables the monitoring of critical process parameters and quality attributes at appropriate unit operations to develop an analytical paradigm that is capable of providing real‐time data. We believe a comprehensive PAT roadmap should entail not only integration of analytical tools into the bioprocess but also should address automated‐data piping, analysis, aggregation, visualization, and smart utility of data for advanced‐data analytics such as machine and deep learning for holistic process understanding. In this review, we discuss a broad spectrum of PAT technologies spanning from vibrational spectroscopy, multivariate data analysis, multiattribute chromatography, mass spectrometry, sensors, and automated‐sampling technologies. We also provide insights, based on our experience in clinical and commercial manufacturing, into data automation, data visualization, and smart utility of data for advanced‐analytics in PAT. This review is catered for a broad audience, including those new to the field to those well versed in applying these technologies. The article is also intended to give some insight into the strategies we have undertaken to implement PAT tools in biologics process development with the vision of realizing RTR testing in biomanufacturing and to meet regulatory expectations.
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