ArticleAdvanced materials (Deerfield Beach, Fla.)2025
Granular Hydrogels as Brittle Yield Stress Fluids.
Article in Advanced materials (Deerfield Beach, Fla.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Engineering Tissue-Relevant Collagen Bundle Architectures via Macromolecular Crowding.Advanced healthcare materials · 2026Article
- A microgel bone marrow model of mesenchymal stromal cell paracrine signaling supporting hematopoietic stem cell retention.Acta biomaterialia · 2026Article
- Fiber-Based Hydrogels for Designing Viscoelastic Responses in Particle-Based Biomaterials That Support Embedded 3D Printing.ACS biomaterials science & engineering · 2026Article
- Hydrogel Microdroplet Based Glioblastoma Drug Screening Platform.Journal of biomedical materials research. Part A · 2026Article
- A microgel bone marrow model of mesenchymal stem cell paracrine signaling supporting hematopoietic stem cell retention.bioRxiv : the preprint server for biology · 2025Article
- Granular Hydrogels as Brittle Yield Stress Fluids.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- Patterning of anisotropic physical cues in granular PEG hydrogel composites using magnetic templating.Industrial & engineering chemistry research · 2025Article
- Hydrogel microdroplet based glioblastoma drug screening platform.bioRxiv : the preprint server for biology · 2025Article
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Abstract
While granular hydrogels are increasingly used in biomedical applications, methods to capture their rheological behavior generally consider shear-thinning and self-healing properties or produce ensemble metrics (e.g., dynamic moduli) while neglecting transient yielding and unyielding processes. Combining oscillatory shear testing with Brittility (Bt) via the Kamani-Donley-Rogers (KDR) model, this work shows that granular hydrogels behave as brittle yield stress fluids. This work quantifies steady and transient rheology as a function of microgel properties and granular composition for polyethylene glycol and gelatin microgels. The KDR model with Bt captures granular hydrogel behavior for a wide range of design parameters, reducing the complex rheology to a determination of model parameters. In granular mixtures, this work observes monotonic dependencies of the elastic modulus, structural viscosity, and brittility upon granular composition, while the yield stress is lower for mixtures. Microgel size distribution and polymer fraction are the most influential parameters in monolithic granular hydrogels, while microgel size and packing density are less impactful. The model robustly captures self-healing behavior and reveals that granular hydrogel relaxation accelerates with an increased small-amplitude strain rate. This quantitative framework is an important step toward rational design of granular hydrogels for applications ranging from injection and in situ stabilization to 3D bioprinting.
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