Aggregate Removal Nanofiltration of Human Serum Albumin Solution Using Nanocellulose-Based Filter Paper.

Lulu Wu, Athanasios Mantas, Simon Gustafsson, Levon Manukyan, Albert Mihranyan

Open access · goldAbstract read

In one paragraph

Article in Biomedicines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

0.4field-weighted citation impact, top 44% of its field

1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 7 citations in OpenAlex.

Would 20 nm Filtered Fetal Bovine Serum-Supplemented Media Support Growth of CHO and HEK-293 Cells?ACS applied bio materials · 2020
Article

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Lulu WuNanotechnology and Functional Materials, Department of Materials Science and Engineering, Box 35, Uppsala University, 751 03 Uppsala, Sweden.

Athanasios MantasNanotechnology and Functional Materials, Department of Materials Science and Engineering, Box 35, Uppsala University, 751 03 Uppsala, Sweden.ORCID 0000-0001-5547-7816

Simon GustafssonNanotechnology and Functional Materials, Department of Materials Science and Engineering, Box 35, Uppsala University, 751 03 Uppsala, Sweden.

Levon ManukyanNanotechnology and Functional Materials, Department of Materials Science and Engineering, Box 35, Uppsala University, 751 03 Uppsala, Sweden.ORCID 0000-0003-3314-5284

Albert MihranyanNanotechnology and Functional Materials, Department of Materials Science and Engineering, Box 35, Uppsala University, 751 03 Uppsala, Sweden.ORCID 0000-0002-8105-2317

Uppsala University · SE

Funding

Knut och Alice Wallenbergs Stiftelse Bridge grant 2018.01141Vetenskapsrådet No. 2016-05715

6 · The paper itself

Abstract

This study is dedicated to the rapid removal of protein aggregates and viruses from plasma-derived human serum albumin (HSA) product to reduce the risk of viral contamination and increase biosafety. A two-step filtration approach was implemented to first remove HSA aggregates and then achieve high model virus clearance using a nanocellulose-based filter paper of different thicknesses, i.e., 11 μm (prefilter) and 22 μm (virus filter) at pH 7.4 and room temperature. The pore size distribution of these filters was characterized by nitrogen gas sorption analysis. Dynamic light scattering (DLS) and size-exclusion high performance liquid chromatography (SE-HPLC) were performed to analyze the presence of HSA aggregates in process intermediates. The virus filter showed high clearance of a small-size model virus, i.e., log

Indexed as

cell culturecell therapiesCladophora celluloseplasma-derived biologicsvirus removal filtration

Identifiers

PMID32668723

DOI10.3390/biomedicines8070209

PMCPMC7400174

OpenAlexW3040717810

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

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.