Development of a transient inline spiking system for evaluating virus clearance in continuous bioprocessing—Proof of concept for virus filtration

Anna Malakian, Seon Yeop Jung, Mohammad A. Afzal, Christina Carbrello, Sal Giglia, Matthew Johnson, Corinne Miller, William Rayfield, Dave Boenitz, David Cetlin, Andrew L. Zydney

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

The development of continuous/connected bioprocesses requires new approaches for viral clearance validation, both for specific unit operations and for the overall process. In this study, we have developed a transient inline spiking system that can be used to evaluate virus clearance at distinct time points during prolonged operation of continuous bioprocesses. The proof of concept for this system was demonstrated by evaluating the viral clearance for a virus filtration step, both with and without a prefilter upstream of the virus filter. The residence time distribution was evaluated using a previously identified noninteracting fluorescent tracer, while viral clearance was evaluated from measurements of the virus titer in samples obtained downstream of the virus filter. The measured log reduction values (LRV) for ϕX174, minute virus of mice, xenotropic murine leukemia virus, and a noninfectious mock virus particle were all within 0.5 log of those obtained using a traditional batch virus challenge for both model and real-world process streams (LRV between 2.2 and 3.4 for ϕX174 using a single layer of virus filter). The results demonstrate the effectiveness of transient inline spiking to validate the virus clearance capabilities in continuous bioprocessing, an essential element for the adoption of these processes for products made using mammalian cell lines.

Original languageEnglish (US)
Pages (from-to)2134-2141
Number of pages8
JournalBiotechnology and bioengineering
Volume119
Issue number8
DOIs
StatePublished - Aug 2022

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Bioengineering
  • Applied Microbiology and Biotechnology

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