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Published on: August 8, 2017
Programmable and multi-stimuli responsive hydrogel actuator mediated by nanocellulose with intrinsic self-sensing
Ya Lu1, Shengnan Li1, Fang Deng1
1Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, International Innovation Center for Forest Chemicals and Materials, Joint International Research Lab of Lignocellulosic Functional Materials, College of Materials Science and Engineering, Nanjing Forestry University, Nanjing, 210037, China.
Researchers developed a novel multi-responsive hydrogel actuator using delignified wood and functional fillers. This programmable material offers remote actuation and self-sensing capabilities for advanced soft robotics and electronics.
Area of Science:
- Materials Science
- Robotics
- Nanotechnology
Background:
- Stimuli-responsive hydrogels are crucial for soft robotics and wearable electronics.
- Developing multi-stimuli responsive, remotely actuated, and self-sensing hydrogels presents a significant challenge.
Purpose of the Study:
- To fabricate a novel hydrogel actuator with multi-stimuli responsiveness (near-infrared light, thermal, magnetic).
- To integrate programmable shape-morphing and self-sensing capabilities into a single hydrogel system.
Main Methods:
- Fabrication of a hydrogel actuator using delignified wood (DW) embedded with Fe3O4/liquid metal/(2,2,6,6-tetramethylpiperidin-1-yl)oxyl-oxidized cellulose nanofiber-poly(N-isopropylacrylamide) (Fe3O4/LM/TOCN-PNIPAM).
- Utilizing TOCNs for filler dispersion and interfacial binding.
- Leveraging the anisotropic structure of DW for programmable shape-morphing.
Main Results:
- The hydrogel actuator exhibited rapid bending velocities (300° s⁻¹ under thermal, 7.5° s⁻¹ under NIR light).
- Demonstrated programmable shape-morphing for soft gripper applications.
- Achieved precise remote controllability and self-sensing with electrical conductivity of 3.7 S m⁻¹.
Conclusions:
- The developed hydrogel actuator integrates multi-responsive actuation with real-time sensory feedback.
- This material system establishes a new paradigm for intelligent soft robotics with self-regulatory control.
- Potential applications in advanced soft robotics, flexible electronics, and intelligent switches.
