Evidence map›Paper›PMID 34832134›Full record

ArticleMembranes2021

Liposome Sterile Filtration Characterization via X-ray Computed Tomography and Confocal Microscopy.

Thomas F Johnson, Kyle Jones, Francesco Iacoviello, Stephen Turner, Nigel B Jackson, Kalliopi Zourna, John H Welsh, Paul R Shearing, Mike Hoare, Daniel G Bracewell

Open access · goldAbstract read
In one paragraph

Article in Membranes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 52% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

10 authors at 3 institutions in 1 country.

Thomas F JohnsonDepartment of Biochemical Engineering, University College London, Bernard Katz, London WC1E 6BT, UK.ORCID 0000-0001-6494-2206
Kyle JonesPall Corporation 5 Harbourgate Business Park, Southampton Road, Portsmouth PO6 4BQ, UK.
Francesco IacovielloElectrochemical Innovation Laboratory, Department of Chemical Engineering, University College London, Torrington Place, London WC1E 7JE, UK.ORCID 0000-0003-3564-2380
Stephen TurnerPall Corporation 5 Harbourgate Business Park, Southampton Road, Portsmouth PO6 4BQ, UK.
Nigel B JacksonPall Corporation 5 Harbourgate Business Park, Southampton Road, Portsmouth PO6 4BQ, UK.
Kalliopi ZournaPall Corporation 5 Harbourgate Business Park, Southampton Road, Portsmouth PO6 4BQ, UK.
John H WelshPall Corporation 5 Harbourgate Business Park, Southampton Road, Portsmouth PO6 4BQ, UK.
Paul R ShearingElectrochemical Innovation Laboratory, Department of Chemical Engineering, University College London, Torrington Place, London WC1E 7JE, UK.ORCID 0000-0002-1387-9531
Mike HoareDepartment of Biochemical Engineering, University College London, Bernard Katz, London WC1E 6BT, UK.
Daniel G BracewellDepartment of Biochemical Engineering, University College London, Bernard Katz, London WC1E 6BT, UK.ORCID 0000-0003-3866-3304
Pall Corporation (United Kingdom) · GBUniversity College London · GBLondon Centre for Nanotechnology · GB

Funding

Engineering and Physical Sciences Research Council EP/L01520X/1Engineering and Physical Sciences Research Council EP/S021868/1Medical Research Council MR/W004399/1
6 · The paper itself

Abstract

Two high resolution, 3D imaging techniques were applied to visualize and characterize sterilizing grade dual-layer filtration of liposomes, enabling membrane structure to be related with function and performance. Two polyethersulfone membranes with nominal retention ratings of 650 nm and 200 nm were used to filter liposomes of an average diameter of 143 nm and a polydispersity index of 0.1. Operating conditions including differential pressure were evaluated. X-ray computed tomography at a pixel size of 63 nm was capable of resolving the internal geometry of each membrane. The respective asymmetry and symmetry of the upstream and downstream membranes could be measured, with pore network modeling used to identify pore sizes as a function of distance through the imaged volume. Reconstructed 3D digital datasets were the basis of tortuous flow simulation through each porous structure. Confocal microscopy visualized liposome retention within each membrane using fluorescent dyes, with bacterial challenges also performed. It was found that increasing pressure drop from 0.07 MPa to 0.21 MPa resulted in differing fluorescent retention profiles in the upstream membrane. These results highlighted the capability for complementary imaging approaches to deepen understanding of liposome sterilizing grade filtration.

Indexed as

confocal microscopyliposomessterile filtrationX-ray computed tomography

Identifiers

PMID34832134
PMCPMC8620169
OpenAlexW3215163437

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.