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Updated: May 23, 2025

Fragmenting Bulk Hydrogels and Processing into Granular Hydrogels for Biomedical Applications
Published on: May 17, 2022
Granular hydrogels as brittle yield stress fluids.
G B Thompson1,2, J Lee1, K M Kamani1
1Dept. Chemical and Biomolecular Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801.
Granular hydrogels exhibit complex rheology, behaving as brittle yield stress fluids. A new model quantifies their transient behavior, aiding in rational design for biomedical applications like 3D bioprinting.
Area of Science:
- Materials Science
- Rheology
- Biomedical Engineering
Background:
- Granular hydrogels are widely used in biomedical applications.
- Current rheological characterization methods often focus on shear-thinning, self-healing, or ensemble metrics.
- A need exists for detailed analysis of transient rheological behaviors during yielding and unyielding processes.
Purpose of the Study:
- To develop and apply an analytical framework to comprehensively characterize the rheological behavior of granular hydrogels.
- To investigate the influence of microgel and granular assembly properties on steady and transient rheology.
- To establish a quantitative model for the rational design of granular hydrogels.
Main Methods:
- Utilized oscillatory shear testing combined with the Kamani-Donley-Rogers (KDR) model, incorporating Brittility (Bt).
- Quantified steady and transient rheology by varying microgel composition and diameter, and granular packing and droplet heterogeneity.
- Analyzed mixtures of polyethylene glycol and gelatin microgels.
Main Results:
- Granular hydrogels were characterized as brittle yield stress fluids with complex transient rheology.
- The KDR model with Bt effectively captured granular hydrogel behavior across various design parameters.
- Rheological behavior and model parameters were correlated with microgel composition in monolithic and mixed hydrogels.
- Self-healing behavior was robustly captured, and granular relaxation time was found to depend on strain amplitude.
Conclusions:
- The KDR model with Bt provides a quantitative framework for understanding and predicting granular hydrogel rheology.
- This approach reduces complex transient rheology to manageable model parameters.
- The findings facilitate the rational design of granular hydrogels for diverse applications, including injection, *in situ* stabilization, and 3D bioprinting.
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