ArticleBiotechnology progress
A design space for the filtration of challenging monoclonal antibodies using Planova™ S20N, a new regenerated cellulose virus removal filter.
Article in Biotechnology progress. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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
2 citing papers in PubMed.
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
Virus removal by filtration is a crucial step in ensuring the safety of therapeutic antibodies and other biopharmaceutical products by mitigating the risk of endogenous and adventitious viral contamination. However, there are monoclonal antibodies (mAb) that are difficult to filter effectively using virus removal filters (i.e., challenging mAbs), necessitating the creation of guidelines for designing suitable filtration conditions for these challenging molecules. This study presents a filtration design space for filtration conditions using a new regenerated cellulose membrane filter with a representative challenging mAb. The filter demonstrated that filtration throughput is adaptable across a wide range of conditions for low to medium mAb concentrations, indicating its suitability for introduction into platform processes for related biopharmaceutical products.
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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.