ArticleBiotechnology progress2020
Development of small-scale models to understand the impact of continuous downstream bioprocessing on integrated virus filtration.
Article in Biotechnology progress, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Development of a Small-Scale Continuous Virus Filtration Model That Incorporates Inline Spiking and Mixing.Biotechnology and bioengineering · 2025Article
- Performance features of virus removal filters with novel regenerated cellulose hollow fiber membranes.iScience · 2025Article
- Filter made of cuprammonium regenerated cellulose for virus removal: a mini-review.Cellulose (London, England) · 2022Review
- White paper on high-throughput process development for integrated continuous biomanufacturing.Biotechnology and bioengineering · 2021Review
- Analysis of filtration behavior using integrated column chromatography followed by virus filtration.Biotechnology and bioengineering · 2021Article
- Development of small-scale models to understand the impact of continuous downstream bioprocessing on integrated virus filtration.Biotechnology progress · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We designed small-scale virus filtration models to investigate the impact of the extended process times and dynamic product streams present in continuous manufacturing. Our data show that the Planova 20N and BioEX virus filters are capable of effectively removing bacteriophage PP7 (>4 log) when run continuously for up to 4 days. Additionally, both Planova 20N and BioEX filters were able to successfully process a mock elution peak of increased protein, salt, and bacteriophage concentrations with only an increase in filtration pressure observed during the higher protein concentration peak. These experiments demonstrated that small-scale viral clearance studies can be designed to model a continuous virus filtration step with specific process parameters.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.