Evidence map›Paper›PMID 36269163›Full record

ArticleJournal of biomedical materials research. Part B, Applied biomaterials2023

Optimizing the composition of gelatin methacryloyl and hyaluronic acid methacryloyl hydrogels to maximize mechanical and transport properties using response surface methodology.

Alireza Talaei, Cathal D O'Connell, Sepidar Sayyar, Malachy Maher, Zhilian Yue, Peter F Choong, Gordon G Wallace

Abstract read
In one paragraph

Article in Journal of biomedical materials research. Part B, Applied biomaterials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Genetic Manipulation of Mammalian Cells in Microphysiological Hydrogels.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  6. Exosomal Delivery of Interleukin-10 Reduces Infection-Associated Inflammation in a 3D-Printed Model of a Humanized Feto-Maternal Interface.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
  7. Article
  8. 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

7 authors.

Alireza TalaeiARC ITTC in Additive Biomanufacturing, Queensland University of Technology, Brisbane, QLD, Australia.
Cathal D O'ConnellDiscipline of Electrical and Biomedical Engineering, School of Engineering, RMIT University, Melbourne, Victoria, Australia.ORCID 0000-0002-1690-9505
Sepidar SayyarARC Centre of Excellence for Electromaterials Science (ACES), Intelligent Polymer Research Institute, AIIM Facility, Innovation Campus, University of Wollongong, Wollongong, New South Wales, Australia.
Malachy MaherARC Centre of Excellence for Electromaterials Science (ACES), Intelligent Polymer Research Institute, AIIM Facility, Innovation Campus, University of Wollongong, Wollongong, New South Wales, Australia.
Zhilian YueARC Centre of Excellence for Electromaterials Science (ACES), Intelligent Polymer Research Institute, AIIM Facility, Innovation Campus, University of Wollongong, Wollongong, New South Wales, Australia.
Peter F ChoongOrthopaedic Department, St Vincent's Hospital, Melbourne, Victoria, Australia.
Gordon G WallaceARC ITTC in Additive Biomanufacturing, Queensland University of Technology, Brisbane, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hydrogel materials are promising candidates in cartilage tissue engineering as they provide a 3D porous environment for cell proliferation and the development of new cartilage tissue. Both the mechanical and transport properties of hydrogel scaffolds influence the ability of encapsulated cells to produce neocartilage. In photocrosslinkable hydrogels, both of these material properties can be tuned by changing the crosslinking density. However, the interdependent nature of the structural, physical and biological properties of photocrosslinkable hydrogels means that optimizing composition is typically a complicated process, involving sequential and/or iterative steps of physiochemical and biological characterization. The combinational nature of the variables indicates that an exhaustive analysis of all reasonable concentration ranges would be impractical. Herein, response surface methodology (RSM) was used to efficiently optimize the composition of a hybrid of gelatin-methacryloyl (GelMA) and hyaluronic acid methacryloyl (HAMA) with respect to both mechanical and transport properties. RSM was employed to investigate the effect of GelMA, HAMA, and photoinitiator concentration on the shear modulus and diffusion coefficient of the hydrogel membrane. Two mathematical models were fitted to the experimental data and used to predict the optimum hydrogel composition. Finally, the optimal composition was tested and compared with the predicted values.

Indexed as

GelatinHydrogelsHyaluronic AcidMethacrylatesTissue EngineeringTissue ScaffoldsGelatingelatin methacryloylHyaluronic AcidHydrogelsMethacrylatesdesign of experimentdiffusion coefficientgelatin Methacryloyl (GelMA)hyaluronic acid Methacryloyl (HAMA)response surface methodology

Identifiers

PMID36269163
PMCPMC10092314

What OpenQuestion holds

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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.