ReviewiScience2025
Modeling virus filtration: Materials, applications, and mechanism.
Review in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
While various methods are employed to ensure the virus safety of finished products, virus filtration (VF) stands out as the preferred method for virus removal and purification of a wide variety of products owing to its capability of separating product molecules with more than 90% recovery and no change in molecule characteristics. The modeling of the virus removal process for VF membranes is based on the principles of microfiltration (MF) and ultrafiltration (UF), but with modifications for the much narrower separation difference, which is less than 2-fold for the separation of product molecules and virus particles. In this review, we introduce the materials and application of VF highlighting the unique characteristics properties of VF membranes through the steps of invention and subsequent development. We examine the virus removal mechanism and filtration models for VF to reproduce and predict the filtration behavior and virus reduction.
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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.