Evidence map›Paper›PMID 33071708›Full record

ArticleAdvanced functional materials2020

3D printing of a biocompatible double network elastomer with digital control of mechanical properties.

Pengrui Wang, David B Berry, Zhaoqiang Song, Wisarut Kiratitanaporn, Jacob Schimelman, Amy Moran, Frank He, Brian Xi, Shengqiang Cai, Shaochen Chen

Open access · greenAbstract read
In one paragraph

Article in Advanced functional materials, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
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  4. Review
  5. Article
  6. Plasmon assisted TiNanoscale advances · 2023
    Article
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  8. Article
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  10. Rhenium anchored TiNanoscale advances · 2023
    Article
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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 1 institution in 1 country.

Pengrui WangMaterials Science and Engineering Program, University of California San Diego, La Jolla, CA 92093.
David B BerryDepartment of NanoEngineering, University of California San Diego, La Jolla, CA 92093.
Zhaoqiang SongDepartment of Mechanical and Aerospace Engineering, University of California San Diego, La Jolla, CA 92093.
Wisarut KiratitanapornDepartment of Bioengineering, University of California San Diego, La Jolla, CA 92093.
Jacob SchimelmanDepartment of NanoEngineering, University of California San Diego, La Jolla, CA 92093.
Amy MoranChemical Engineering Program, University of California San Diego, La Jolla, CA 92093.
Frank HeDepartment of Bioengineering, University of California San Diego, La Jolla, CA 92093.
Brian XiChemical Engineering Program, University of California San Diego, La Jolla, CA 92093.
Shengqiang CaiDepartment of Mechanical and Aerospace Engineering, Materials Science and Engineering Program, University of California San Diego, La Jolla, CA 92093.
Shaochen ChenDepartment of NanoEngineering, Chemical Engineering Program, Materials Science and Engineering Program, Department of Bioengineering, University of California San Diego, La Jolla, CA 92093.
University of California San Diego · US

Funding

Rapid 3D bioprinting of biomimetic vascularized tissue constructsR01EB021857 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHEN, SHAOCHEN, DOKMECI, MEHMET REMZI · 2016 to 2019
$2.1M
Rapid 3D-printing of Multi-functional Adaptive Nerve ConduitsR33HD090662 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHEN, SHAOCHEN · 2019 to 2021
$1.1M
3D Printing of Precision Scaffolds for Volumetric Muscle Tissue RegenerationR21AR074763 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHEN, SHAOCHEN · 2019 to 2020
$355k
NIAMS NIH HHS R21 AR074763NIBIB NIH HHS R01 EB021857NICHD NIH HHS R33 HD090662
6 · The paper itself

Abstract

The majority of 3D-printed biodegradable biomaterials are brittle, limiting their potential application to compliant tissues. Poly (glycerol sebacate) acrylate (PGSA) is a synthetic biodegradable and biocompatible elastomer, compatible with light-based 3D printing. In this work we employed digital-light-processing (DLP)-based 3D printing to create a complex PGSA network structure. Nature-inspired double network (DN) structures with two geometrically interconnected segments with different mechanical properties were printed from the same material in a single shot. Such capability has not been demonstrated by any other fabrication technique. The biocompatibility of PGSA after 3D printing was confirmed via cell-viability analysis. We used a finite element analysis (FEA) model to predict the failure of the DN structure under uniaxial tension. FEA confirmed the soft segments act as sacrificial elements while the hard segments retain structural integrity. The simulation demonstrated that the DN design absorbs 100% more energy before rupture than the network structure made by single exposure condition (SN), doubling the toughness of the overall structure. Using the FEA-informed design, a new DN structure was printed and the FEA predicted tensile test results agreed with tensile testing of the printed structure. This work demonstrated how geometrically-optimized material design can be easily and rapidly achieved by using DLP-based 3D printing, where well-defined patterns of different stiffnesses can be simultaneously formed using the same elastic biomaterial, and overall mechanical properties can be specifically optimized for different biomedical applications.

Identifiers

PMID33071708
PMCPMC7566974
OpenAlexW3008950861

What OpenQuestion holds

Textmetadata
LicenceTDM
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.