4.3 Article

Virus recovery by tangential flow filtration: A model to guide the design of a sample concentration process

Journal

BIOTECHNOLOGY PROGRESS
Volume 37, Issue 1, Pages -

Publisher

WILEY
DOI: 10.1002/btpr.3080

Keywords

figure of merit; sample concentration; tangential flow filtration; ultrafiltration; virus recovery

Funding

  1. CRDF Global
  2. Michigan State University
  3. U.S. Fulbright Scholar fellowship
  4. Georgian Research and Development Foundation
  5. Shota Rustaveli National Science Foundation
  6. Civilian Research and Development Foundation

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A simple model is developed to describe the recovery of viruses from water during sample concentration using tangential flow filtration. A figure of merit, M=r(v)r, is proposed to capture the efficiency of virus recovery and sample concentration speed. The model can guide the design of the sample concentration process and serve as a framework for quantification and interlaboratory comparison of experimental data on virus recovery.
A simple model is developed to describe the instantaneous (r(v))and cumulative (R-v) recovery of viruses from water during sample concentration by tangential flow filtration in the regime of constant water recovery,r. A figure of merit,M=r(v)r, is proposed as an aggregate performance metric that captures both the efficiency of virus recovery and the speed of sample concentration. We derive an expression for virus concentration in the sample as a function of filtration time with the rate-normalized virus loss,eta=1-rvr, as a parameter. A practically relevant case is considered when the rate of virus loss is proportional to the permeation-driven mass flux of viruses to the membrane:dmaddt similar to QpCf >> QpCp. In this scenario, the instantaneous recovery is constant, the cumulative recovery is decreasing as a power function of time,Rv=(1-Q(p)/V(0)t)(eta) eta mediates the trade-off betweenrandr(v), andMis maximized atr=ropt=12 eta. The proposed model can guide the design of the sample concentration process and serve as a framework for quantification and interlaboratory comparison of experimental data on virus recovery.

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