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Controlled Annealing in Adaptive Multicomponent Gels.

Paolo Ravarino1, Santanu Panja2, Simona Bianco2

  • 1Dipartimento di Chimica Giacomo Ciamician, Alma Mater Studiorum, Università di Bologna, Via Selmi, 2, 40126, Bologna, Italy.

Angewandte Chemie (International Ed. in English)
|November 23, 2022
PubMed
Summary
This summary is machine-generated.

Researchers developed a pH-driven process to control network structures in multicomponent gels. This method allows for tunable transitions between co-assembled and self-sorted states, enabling complex material design.

Keywords:
AnnealingCo-AssemblyMulticomponent HydrogelRheology

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Area of Science:

  • Materials Science
  • Supramolecular Chemistry
  • Polymer Science

Background:

  • Multicomponent gels exhibit complex self-assembled structures.
  • Controlling the microstructure of gels is crucial for advanced material applications.
  • Existing methods for gel network manipulation are limited.

Purpose of the Study:

  • To develop a pH-driven annealing process for controlling network assembly in multicomponent gels.
  • To investigate the transition between co-assembled and self-sorted network states.
  • To explore the potential for creating complex microstructures in gels.

Main Methods:

  • Utilizing a pH-driven annealing process involving pH increase and subsequent decrease.
  • Employing an enzymatic approach for pH modulation.
  • Characterizing the gel-to-sol transition and subsequent re-gelation.
  • Analyzing the pKa-dependent two-stage gelation process.

Main Results:

  • Successfully converted between co-assembled and self-sorted networks using pH control.
  • Demonstrated a pH-driven gel-to-sol-to-gel transition.
  • Identified the pKa of components as critical for self-sorted network formation.
  • Showcased the potential for generating diverse microstructures by altering composition and pH change rates.

Conclusions:

  • pH-driven annealing is an effective strategy for controlling network assembly in multicomponent gels.
  • This method offers a pathway to create materials with tunable microstructures and enhanced complexity.
  • The approach is adaptable for layered systems, expanding the possibilities for material design.