UV-Vis-NIR Light-deformable Shape-memory Polyurethane Doped with Liquid-crystal Mixture and GO towards Biomimetic Applications

Peng Zhang; Feng Cai; Guo-Jie Wang; Hai-Feng Yu

doi:10.1007/s10118-022-2657-9

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UV-Vis-NIR Light-deformable Shape-memory Polyurethane Doped with Liquid-crystal Mixture and GO towards Biomimetic Applications

Papers | Updated：2022-01-01

- UV-Vis-NIR Light-deformable Shape-memory Polyurethane Doped with Liquid-crystal Mixture and GO towards Biomimetic Applications
- UV-Vis-NIR Light-deformable Shape-memory Polyurethane Doped with Liquid-crystal Mixture and GO towards Biomimetic Applications
- Chinese Journal of Polymer Science 2022年40卷第2期页码：166-174
- Affiliations：
  
  a.School of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China
  b.Institute of New Structural Materials, School of Materials Science and Engineering, and Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, Peking University, Beijing 100871, China
- Author bio：
  
  guojie.wang@mater.ustb.edu.cn (G.J.W.)
  yuhaifeng@pku.edu.cn (H.F.Y.)
- Funds：
  
  This work was financially supported by the National Natural Science Foundation of China (Nos. 51373025, 51773002 and 51921002).
- DOI：10.1007/s10118-022-2657-9
  中图分类号：
- 收稿：2021-08-25，
  
  修回：2021-10-19，
  
  录用：2021-10-20，
  
  网络首发：2022-01-01，
  
  纸质出版：2022-02-01
- Accepted：
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Zhang, P.; Cai, F.; Wang, G. J.; Yu, H. F. UV-Vis-NIR light-deformable shape-memory polyurethane doped with liquid-crystal mixture and GO towards biomimetic applications. Chinese J. Polym. Sci. 2022, 40, 166–174

Peng Zhang, Feng Cai, Guo-Jie Wang, et al. UV-Vis-NIR Light-deformable Shape-memory Polyurethane Doped with Liquid-crystal Mixture and GO towards Biomimetic Applications[J]. Chinese Journal of Polymer Science, 2022, 40(2): 166-174.
Zhang, P.; Cai, F.; Wang, G. J.; Yu, H. F. UV-Vis-NIR light-deformable shape-memory polyurethane doped with liquid-crystal mixture and GO towards biomimetic applications. Chinese J. Polym. Sci. 2022, 40, 166–174 DOI： 10.1007/s10118-022-2657-9.

Peng Zhang, Feng Cai, Guo-Jie Wang, et al. UV-Vis-NIR Light-deformable Shape-memory Polyurethane Doped with Liquid-crystal Mixture and GO towards Biomimetic Applications[J]. Chinese Journal of Polymer Science, 2022, 40(2): 166-174. DOI： 10.1007/s10118-022-2657-9.

摘要

Abstract

Nature has been inspiring material researchers to fabricate biomimetic functional devices for various applications

and shape-memory polymer materials (SMPMs) have received tremendous attention since the promising intelligent materials possess more advantages over others for the fabrication of biomimetic functional devices. As is well-known

SMPMs can be stimulated by heat

electricity

magnetism

solvent and light. From the viewpoint of practical applications

ultraviolet (UV)-visible (Vis)-near infrared (NIR) light-responsive SMPMs are undoubtedly more advantageous. However

up to now

UV-Vis-NIR light-deformable SMPMs by combining photothermal and photochemical effects are still rarely reported. Here we designed a UV-Vis-NIR light-deformable SMP composite film

via

incorporating a liquid crystal (LC) mixture and graphene oxide (GO) into a shape-memory polyurethane matrix. The elongated composite films exhibited interesting photomechanical bending deformations with different light-triggered mechanisms

(1) photochemically induced LC phase transition upon UV exposure

(2) photochemically and photothermally induced LC phase transition upon visible-light irradiation

(3) photothermally triggered LC phase transition and partial stress relaxation upon low-intensity NIR exposure. All the deformed objects could recover to their original shapes by high-intensity NIR irradiation. Moreover

the biomimetic circadian rhythms of acacia leaves and the biomimetic bending/spreading of fingers were successfully achieved

which could blaze a way in the field of biomimetic functional devices due to the excellent light-deformable and shape-memory properties of the SMP composite films.

关键词

Keywords

references

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