Evidence map›Paper›PMID 25005426›Full record

ArticleSoft matter2014

A bio-inspired microstructure induced by slow injection moulding of cylindrical block copolymers.

Joanna Stasiak, Jacob Brubert, Marta Serrani, Sukumaran Nair, Francesco de Gaetano, Maria Laura Costantino, Geoff D Moggridge

Abstract read
In one paragraph

Article in Soft matter, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Hemocompatibility of styrenic block copolymers for use in prosthetic heart valves.Journal of materials science. Materials in medicine · 2016
    Article
  7. Article
  8. Article
  9. Article
  10. A Newly Developed Tri-Leaflet Polymeric Heart Valve Prosthesis.Journal of mechanics in medicine and biology · 2015
    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.

Joanna StasiakDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Pembroke Street, Cambridge, CB2 3RA, UK. gdm14@cam.ac.uk.
Jacob Brubert
Marta Serrani
Sukumaran Nair
Francesco de Gaetano
Maria Laura Costantino
Geoff D Moggridge

Funding

British Heart Foundation NH/11/4/29059
6 · The paper itself

Abstract

It is well known that block copolymers with cylindrical morphology show alignment with shear, resulting in anisotropic mechanical properties. Here we show that well-ordered bi-directional orientation can be achieved in such materials by slow injection moulding. This results in a microstructure, and anisotropic mechanical properties, similar to many natural tissues, making this method attractive for engineering prosthetic fibrous tissues. An application of particular interest to us is prosthetic polymeric heart valve leaflets, mimicking the shape, microstructure and hence performance of the native valve. Anisotropic layers have been observed for cylinder-forming block copolymers centrally injected into thin circular discs. The skin layers exhibit orientation parallel to the flow direction, whilst the core layer shows perpendicularly oriented domains; the balance of skin to core layers can be controlled by processing parameters such as temperature and injection rate. Heart valve leaflets with a similar layered structure have been prepared by injection moulding. Numerical modelling demonstrates that such complex orientation can be explained and predicted by the balance of shear and extensional flow.

Indexed as

Tissue EngineeringAnimalsAnisotropyAortic ValvePolymersScattering, Small AngleSwineX-Ray DiffractionPolymers

Identifiers

PMID25005426
PMCPMC4439735

What OpenQuestion holds

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LicenceCC BY
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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.