ArticleAdvanced functional materials2020
3D printing of a biocompatible double network elastomer with digital control of mechanical properties.
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.
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.
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.
Who cites it
15 citing papers in PubMed, 49 citations in OpenAlex.
- A degradable PEGDA-dopamine hydrogel with ROS scavenging capacity supports flexible design for nerve repair.Materials today. Bio · 2026Article
- Dynamic Network- and Microcellular Architecture-Driven Biomass Elastomer toward Sustainable and Versatile Soft Electronics.Nano-micro letters · 2025Article
- 3D printing-biomimetic local stiff niche enhances glycolysis to boost PDAC cell stem-like phenotype via N6-methyladenosine-suppressed YAP1 mRNA decay.Materials today. Bio · 2025Article
- Trends in Photopolymerization 3D Printing for Advanced Drug Delivery Applications.Biomacromolecules · 2025Review
- Toughening Healable Supramolecular Double Polymer Networks Based on Hydrogen Bonding and Metal Coordination.Chemistry (Weinheim an der Bergstrasse, Germany) · 2024Article
- Plasmon assisted TiNanoscale advances · 2023Article
- Highly resilient and fatigue-resistant poly(4-methyl-Bioactive materials · 2023Article
- Release Kinetics of Metronidazole from 3D Printed Silicone Scaffolds for Sustained Application to the Female Reproductive Tract.Biomedical engineering advances · 2023Article
- 3D printed elastic hydrogel conduits with 7,8-dihydroxyflavone release for peripheral nerve repair.Materials today. Bio · 2023Article
- Rhenium anchored TiNanoscale advances · 2023Article
- 3D printing a biocompatible elastomer for modeling muscle regeneration after volumetric muscle loss.Biomaterials advances · 2022Article
- Simultaneous One-Pot Interpenetrating Network Formation to Expand 3D Processing Capabilities.Advanced materials (Deerfield Beach, Fla.) · 2022Article
- Advances and emerging challenges in MXenes and their nanocomposites for biosensing applications.RSC advances · 2022Review
- Composite Inks for Extrusion Printing of Biological and Biomedical Constructs.ACS biomaterials science & engineering · 2021Review
- Poly(Glycerol Sebacate) in Biomedical Applications-A Review of the Recent Literature.Advanced healthcare materials · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 1 institution in 1 country.
Funding
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
What OpenQuestion holds
Registered trials
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.