Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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693.932 PEOPLE
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Morgan, Francis L. C.

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Maastricht University

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2024Well-Defined Synthetic Copolymers with Pendant Aldehydes Form Biocompatible Strain-Stiffening Hydrogels and Enable Competitive Ligand Displacement6citations
  • 2022Tuning Hydrogels by Mixing Dynamic Cross-Linkers: Enabling Cell-Instructive Hydrogels and Advanced Bioinks60citations
  • 2021Biomimetic double network hydrogels: Combining dynamic and static crosslinks to enable biofabrication and control cell-matrix interactions32citations

Places of action

Chart of shared publication
Dijkstra, Pieter J.
1 / 1 shared
Moroni, Lorenzo
3 / 43 shared
Bauer, Jurica
1 / 1 shared
Rademakers, Timo
1 / 3 shared
Beeren, Ivo A. O.
1 / 1 shared
Baker, Matthew B.
3 / 11 shared
Fernández-Pérez, Julia
1 / 2 shared
Houben, S.
1 / 1 shared
Pitet, L. M.
1 / 1 shared
Aldana, Ana Agustina
1 / 2 shared
Chart of publication period
2024
2022
2021

Co-Authors (by relevance)

  • Dijkstra, Pieter J.
  • Moroni, Lorenzo
  • Bauer, Jurica
  • Rademakers, Timo
  • Beeren, Ivo A. O.
  • Baker, Matthew B.
  • Fernández-Pérez, Julia
  • Houben, S.
  • Pitet, L. M.
  • Aldana, Ana Agustina
OrganizationsLocationPeople

article

Biomimetic double network hydrogels: Combining dynamic and static crosslinks to enable biofabrication and control cell-matrix interactions

  • Moroni, Lorenzo
  • Houben, S.
  • Pitet, L. M.
  • Morgan, Francis L. C.
  • Baker, Matthew B.
  • Aldana, Ana Agustina
Abstract

Hydrogels are promising candidates for recapitulation of the native extracellular matrix (ECM), yet recreating molecular and spatiotemporal complexity within a single network remains a challenge. Double network (DN) hydrogels are a promising step towards recapitulating the multicomponent ECM and have enhanced mechanical properties. Here, we investigate DNs based on dynamic covalent and covalent bonds to mimic the dynamicity of and enable biofabrication. We also investigate the spatiotemporal molecular attachment of a bioactive adhesive peptide within the networks. Using oxidized alginate (dynamic network, Schiff base) and polyethylene glycol diacrylate (static network, acrylate polymerization) we find an optimized procedure, where the dynamic network is formed first, followed by the static network. This initial dynamically cross-linked hydrogel imparts self-healing, injectability, and 3D printability, while the subsequent DN hydrogel improves the stability of the 3D gels and imparts toughness. Rheology and compression testing show that the toughening is due to the combination of energy dissipation (dynamic network) and elasticity (static network). Furthermore, where we place adhesive sites in the network matters; we find distinct differences when tripeptide Arg-Gly-Asp (RGD) is attached to the different networks. This DN strategy bring us closer to understanding and recreating the complex multicomponent ECM-pushing us past a materials view of cell adhesion-while enabling injectabiltiy and printing of tough hydrogels.

Topics
  • impedance spectroscopy
  • elasticity