下游(制造业)
计算机科学
过程(计算)
上游(联网)
过程分析技术
下游加工
过程开发
工艺工程
微载波
生物过程
生化工程
工程类
生物
化学
细胞培养
色谱法
运营管理
计算机网络
操作系统
遗传学
化学工程
作者
Sijia Yi,Reilly McCracken,Joseph P. Davide,Daniel Ryan Salovich,Travis Whitmer,Aditya Bhat,Josef Vlasak,Sha Ha,Darrell Sehlin,Joseph P. Califano,Kristin Ploeger,Malini Mukherjee
标识
DOI:10.1038/s41598-022-19744-x
摘要
Abstract In the development of end-to-end large-scale live virus vaccine (LVV) manufacturing, process analytical technology (PAT) tools enable timely monitoring of critical process parameters (CPP) and significantly guide process development and characterization. In a commercial setting, these very same tools can enable real time monitoring of CPPs on the shop floor and inform harvest decisions, predict peak potency, and serve as surrogates for release potency assays. Here we introduce the development of four advanced PAT tools for upstream and downstream process monitoring in LVV manufacturing. The first tool explores the application of capacitance probes for real time monitoring of viable cell density in bioreactors. The second tool utilizes high content imaging to determine optimum time of infection in a microcarrier process. The third tool uses flow virometry (or nanoscale flow cytometry) to monitor total virus particle counts across upstream and downstream process steps and establishes a robust correlation to virus potency. The fourth and final tool explores the use of nucleic acid dye staining to discriminate between “good” and “damaged” virus particles and uses this strategy to also monitor virus aggregates generated sometimes during downstream processing. Collectively, these tools provide a comprehensive monitoring toolbox and represent a significantly enhanced control strategy for the manufacturing of LVVs.
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