Evidence map›Paper›PMID 37522918›Full record

ArticleAnalytical and bioanalytical chemistry2023

Evaluating 3D-printed bioseparation structures using multi-length scale tomography.

Thomas F Johnson, Mariachiara Conti, Francesco Iacoviello, Paul R Shearing, James Pullen, Simone Dimartino, Daniel G Bracewell

Open access · hybridAbstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2023. 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
0.5field-weighted citation impact, top 39% 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, 5 citations in OpenAlex.

  1. 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

7 authors at 4 institutions in 1 country.

Thomas F JohnsonDepartment of Biochemical Engineering, University College London, Bernard Katz, London, WC1E 6BT, UK.ORCID http://orcid.org/0000-0001-6494-2206
Mariachiara ContiInstitute for Bioengineering, School of Engineering, University of Edinburgh, Edinburgh, EH9 3JL, UK.ORCID http://orcid.org/0000-0001-9960-2674
Francesco IacovielloElectrochemical Innovation Laboratory, Department of Chemical Engineering, University College London, Torrington Place, London, WC1E 7JE, UK.ORCID http://orcid.org/0000-0003-3564-2380
Paul R ShearingElectrochemical Innovation Laboratory, Department of Chemical Engineering, University College London, Torrington Place, London, WC1E 7JE, UK.ORCID http://orcid.org/0000-0002-1387-9531
James PullenFujifilm Diosynth Technologies, Belasis Avenue, Billingham, TS23 1LH, UK.ORCID http://orcid.org/0000-0001-6700-7838
Simone DimartinoInstitute for Bioengineering, School of Engineering, University of Edinburgh, Edinburgh, EH9 3JL, UK.ORCID http://orcid.org/0000-0002-9695-1278
Daniel G BracewellDepartment of Biochemical Engineering, University College London, Bernard Katz, London, WC1E 6BT, UK. d.bracewell@ucl.ac.uk.ORCID http://orcid.org/0000-0003-3866-3304
London Centre for Nanotechnology · GBUniversity College London · GBUniversity of Edinburgh · GBFujifilm (United Kingdom) · GB

Funding

Medical Research Council MR/W004399/1
6 · The paper itself

Abstract

X-ray computed tomography was applied in imaging 3D-printed gyroids used for bioseparation in order to visualize and characterize structures from the entire geometry down to individual nanopores. Methacrylate prints were fabricated with feature sizes of 500 µm, 300 µm, and 200 µm, with the material phase exhibiting a porous substructure in all cases. Two X-ray scanners achieved pixel sizes from 5 µm to 16 nm to produce digital representations of samples across multiple length scales as the basis for geometric analysis and flow simulation. At the gyroid scale, imaged samples were visually compared to the original computed-aided designs to analyze printing fidelity across all feature sizes. An individual 500 µm feature, part of the overall gyroid structure, was compared and overlaid between design and imaged volumes, identifying individual printed layers. Internal subvolumes of all feature sizes were segmented into material and void phases for permeable flow analysis. Small pieces of 3D-printed material were optimized for nanotomographic imaging at a pixel size of 63 nm, with all three gyroid samples exhibiting similar geometric characteristics when measured. An average porosity of 45% was obtained that was within the expected design range, and a tortuosity factor of 2.52 was measured. Applying a voidage network map enabled the size, location, and connectivity of pores to be identified, obtaining an average pore size of 793 nm. Using Avizo XLAB at a bulk diffusivity of 7.00 × 10

Indexed as

3D printingFlow simulationGyroidTortuosityX-ray imaging

Identifiers

PMID37522918
PMCPMC10556175
OpenAlexW4385406381

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.