推流式反应器模型
塞流
停留时间(流体动力学)
停留时间分布
流量(数学)
连续反应器
约束(计算机辅助设计)
比例(比率)
连续搅拌釜式反应器
功能(生物学)
核工程
数学
环境科学
机械
计算机科学
化学
工程类
物理
生物
化学工程
岩土工程
几何学
量子力学
进化生物学
催化作用
生物化学
作者
Matthew R. Brown,Raquel Orozco
摘要
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.
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