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Published on: October 31, 2019
Rapid, Localized, and Athermal Shape Memory Performance Triggered by Photoswitchable Glass Transition Temperature
Xiao Zhang1, Chongyu Zhu1, Bo Xu1
1Department of Materials Science and State Key Laboratory of Molecular Engineering of Polymers , Fudan University , 220 Handan Road , Shanghai , 200433 , China.
Researchers developed light-triggered shape memory polymers using azopolymer networks. These materials exhibit athermal shape recovery at room temperature by photoswitching their glass transition temperature, enabling applications in medicine and robotics.
Area of Science:
- Materials Science
- Polymer Chemistry
- Photochemistry
Background:
- Shape memory polymers (SMPs) capable of room temperature (RT) recovery are crucial for in vivo applications but remain challenging to develop.
- Traditional SMPs often require external heating for shape recovery, limiting their use in biological settings.
Purpose of the Study:
- To report a light-triggered athermal shape memory effect in azopolymer networks.
- To demonstrate the potential of photoswitching the glass transition temperature (Tg) for precise shape control.
Main Methods:
- Utilizing azopolymer networks with reversible trans-cis isomerization to photoswitch the glass transition temperature (Tg).
- Trapping entropic energy in a low Tg state (cis-form) for deformation and fixing it in a high Tg state (trans-form).
- Inducing shape recovery via UV light exposure to lower the Tg and release stored energy.
Main Results:
- Achieved light-induced athermal shape recovery at room temperature without external heating.
- Demonstrated rapid shape recovery from temporary to permanent shapes.
- Showcased programmable surface topography recovery through precise light manipulation.
Conclusions:
- Azopolymer networks offer a novel strategy for light-controlled shape memory effects.
- The ability to spatiotemporally control Tg opens avenues for advanced applications.
- This approach holds significant promise for future precise medicine devices and soft robotics.
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