Engineering Tough Supramolecular Hydrogels with Structured Micropillars for Tunable Wetting and Adhesion Properties
Ye Tian1,2,3, Li Xin Hou1, Xin Ning Zhang1
1Ministry of Education Key Laboratory of Macromolecular Synthesis and Functionalization, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou, 310058, China.
Small (Weinheim an Der Bergstrasse, Germany)
|May 8, 2024
Summary
This study engineered tough hydrogels using soft-lithography to create micro-pillar surfaces. Temperature-dependent mechanical properties enabled easy fabrication and tunable surface characteristics for diverse applications.
Area of Science:
- Materials Science
- Polymer Chemistry
- Surface Engineering
Background:
- Soft-lithography is a common technique for microstructuring plastics and elastomers.
- Fabricating high-aspect-ratio microstructures on hydrogels is challenging due to their low mechanical strength and stiffness, hindering demolding.
Purpose of the Study:
- To engineer tough hydrogels capable of forming well-defined microstructures using soft-lithography.
- To leverage temperature-dependent mechanical properties for facile fabrication and tunable surface functionalities.
Main Methods:
- Utilized poly(acrylamide-co-methacrylic acid) hydrogels with temperature-dependent mechanical properties.
- Employed soft-lithography at low temperatures for easy demolding of micro-pillar arrays.
- Investigated shape-memory properties for morphological control of microstructures.
Main Results:
- Achieved fabrication of well-defined micropillar arrays on tough hydrogels via temperature-controlled soft-lithography.
- Demonstrated significant tuning of mechanical properties (Young's modulus from 8.1 MPa to 821.8 MPa) with temperature.
- Showcased tunable wetting and adhesion properties of the hydrogel surfaces, influenced by microstructure geometry and arrangement.
Conclusions:
- Developed a facile strategy for fabricating microstructured surfaces on hydrogels by exploiting tunable viscoelasticity.
- The engineered hydrogels exhibit controllable surface properties and shape-memory effects.
- This approach holds potential for broader applications in biomedical and engineering fields.


