Brown Matthew R, Orozco Raquel
Boehringer Ingelheim Fremont, Inc., Process Science, Fremont, California, USA.
Biotechnol Bioeng. 2021 Sep;118(9):3367-3374. doi: 10.1002/bit.27734. Epub 2021 Mar 11.
As part of a viral mitigating strategy for continuous bioprocessing, that utilizes a plug flow reactor (PFR) for continuous viral inactivation (CVI), understanding the minimum residence time as a function of reactor scale and operational conditions is critical. An empirical-based model was utilized to calculate the minimum duration a virus particle experiences within a plug flow reactor as a function of reactor design and operational conditions. This empirical model's calculations were challenged by pulse injecting the bacteriophage ΦX-174 in non-inactivating conditions and monitoring the discharge of the PFR with infectivity assays. The initial proposed empirical model, with the constraint of requiring an operational Dean number of >100, proved to be effective at calculating first breakthrough of ΦX-174 but only for the appropriate Dean number conditions. With the knowledge gained from the first empirical model, a second was generated to eliminate the Dean number constraint. This second modified empirical model proved to be successful at calculating the first breakthrough at all Dean number's tested, however CVI operation at the lower Dean's number will lead to an increased asymmetry (i.e., increased tailing) in the residence time distribution.
作为连续生物处理病毒缓解策略的一部分,该策略利用活塞流反应器(PFR)进行连续病毒灭活(CVI),了解作为反应器规模和操作条件函数的最小停留时间至关重要。利用基于经验的模型来计算病毒颗粒在活塞流反应器内经历的最短持续时间,该持续时间是反应器设计和操作条件的函数。通过在非灭活条件下脉冲注入噬菌体ΦX-174并用感染性测定法监测PFR的排放,对该经验模型的计算提出了挑战。最初提出的经验模型,在操作迪恩数>100的约束下,被证明在计算ΦX-174的首次突破时是有效的,但仅适用于适当的迪恩数条件。基于从第一个经验模型获得的知识,生成了第二个模型以消除迪恩数约束。这第二个修改后的经验模型被证明在计算所有测试迪恩数下的首次突破时是成功的,然而在较低迪恩数下的CVI操作将导致停留时间分布中的不对称性增加(即拖尾增加)。