Evidence map›Paper›PMID 38798752›Full record

ArticleMacromolecules2023

Shear Thickening Behavior in Injectable Tetra-PEG Hydrogels Cross-Linked via Dynamic Thia-Michael Addition Bonds.

Anne D Crowell, Thomas M FitzSimons, Eric V Anslyn, Kelly M Schultz, Adrianne M Rosales

Abstract read
In one paragraph

Article in Macromolecules, 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. Review
  2. Article
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  5. Article
  6. Review
  7. Review
  8. Orthogonal design-drivenRSC advances · 2025
    Article
  9. 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

5 authors.

Anne D CrowellMcKetta Department of Chemical Engineering, The University of Texas at Austin, Austin 78712, United States.ORCID 0000-0002-7035-1100
Thomas M FitzSimonsMcKetta Department of Chemical Engineering, The University of Texas at Austin, Austin 78712, United States.ORCID 0000-0001-7316-475X
Eric V AnslynDepartment of Chemistry, The University of Texas at Austin, Austin 78712, United States.ORCID 0000-0002-5137-8797
Kelly M SchultzDepartment of Chemical and Biomolecular Engineering, Lehigh University, Bethlehem 18015, United States.ORCID 0000-0001-9040-126X
Adrianne M RosalesDepartment of Chemical Engineering, The University of Texas at Austin, Austin 78712, United States.ORCID 0000-0003-0207-7661

Funding

Expanding the Functionality of Engineered Extracellular MatricesR35GM138193 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI ROSALES, ADRIANNE · 2020 to 2024
$1.9M
NIGMS NIH HHS R35 GM138193
6 · The paper itself

Abstract

Injectable poly(ethylene glycol) (PEG)-based hydrogels were reversibly cross-linked through thia-conjugate addition bonds and demonstrated to shear thicken at low shear rates. Cross-linking bond exchange kinetics and dilute polymer concentrations were leveraged to tune hydrogel plateau moduli (from 60 to 650 Pa) and relaxation times (from 2 to 8 s). Under continuous flow shear rheometry, these properties affected the onset of shear thickening and the degree of shear thickening achieved before a flow instability occurred. The changes in viscosity were reversible whether the shear rate increased or decreased, suggesting that chain stretching drives this behavior. Given the relevance of dynamic PEG hydrogels under shear to biomedical applications, their injectability was investigated. Injection forces were found to increase with higher polymer concentrations and slower bond exchange kinetics. Altogether, these results characterize the nonlinear rheology of dilute, dynamic covalent tetra-PEG hydrogels and offer insight into the mechanism driving their shear thickening behavior.

Identifiers

PMID38798752
PMCPMC11126233

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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.