Triple‐Stimuli Responsive Soft Robots with Photo‐Programmable Ferriferous Oxide Particle Patterns

Magneto-driven soft robots featuring remote and highly permeable controllability are considered promising, especially in biomedical and engineering applications. However, there is still lack of a high-precision method to regulate the distribution of magnetic fillers in polymer substrates, which severely limits the improvement of the actuating functionality. This work provides a photo-regulatable method to develop soft robots with locally distributed magnetic Fe<sub>3</sub>O<sub>4</sub> nanoparticles. Solvent-casted polyvinyl alcohol/sodium carboxymethyl cellulose film is prepared as the substrate, and Fe<sup>3+</sup> ions are introduced to coordinate with carboxylate groups by surface treatment. Two processes, photo-reduction of Fe<sup>3+</sup> to Fe<sup>2+</sup> ions and the hydrolytic reaction of the two ions, are sequentially combined to in situ generate magnetic Fe<sub>3</sub>O<sub>4</sub> particles. Spatiotemporal control of UV light irradiation determines the Fe<sup>3+</sup>/Fe<sup>2+</sup> ratio and, therefore the amount of generated Fe<sub>3</sub>O<sub>4</sub> nanoparticles that decide magnetic field, NIR light, and moisture responsive actuating functionalities. Moreover, the external geometry of the composite can be tuned by inducing the formation of Al<sup>3+</sup>-carboxylate coordinates for strain retention, which enables shape programming of the composite to exhibit complex 3D-3D actuating behaviors. The proposed method enables the design and preparation of soft robots with spatially tunable magnetism and more advanced actuating behaviors.

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Publication Details

Journal
Advanced Science
Published
2025-03-20
DOI
https://doi.org/10.1002/advs.202500669
Citations
3
Primary Topic
Micro and Nano Robotics
Type
article
Field-Weighted Citation Impact
3.77

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article

Triple‐Stimuli Responsive Soft Robots with Photo‐Programmable Ferriferous Oxide Particle Patterns

Yanhu Zhan, Zhong‐Wen Liu, Jinqiang Jiang, Zhao‐Tie Liu et al.
3 citations
Advanced Science
Micro and Nano Robotics
3.77
article

Triple‐Stimuli Responsive Soft Robots with Photo‐Programmable Ferriferous Oxide Particle Patterns

Yanhu Zhan, Zhong‐Wen Liu, Jinqiang Jiang, Zhao‐Tie Liu, Kexing Li, Sheng Hu, Peng Yang, Guo Li, Weijia Nong
article en
3 citations

Abstract

Magneto-driven soft robots featuring remote and highly permeable controllability are considered promising, especially in biomedical and engineering applications. However, there is still lack of a high-precision method to regulate the distribution of magnetic fillers in polymer substrates, which severely limits the improvement of the actuating functionality. This work provides a photo-regulatable method to develop soft robots with locally distributed magnetic Fe<sub>3</sub>O<sub>4</sub> nanoparticles. Solvent-casted polyvinyl alcohol/sodium carboxymethyl cellulose film is prepared as the substrate, and Fe<sup>3+</sup> ions are introduced to coordinate with carboxylate groups by surface treatment. Two processes, photo-reduction of Fe<sup>3+</sup> to Fe<sup>2+</sup> ions and the hydrolytic reaction of the two ions, are sequentially combined to in situ generate magnetic Fe<sub>3</sub>O<sub>4</sub> particles. Spatiotemporal control of UV light irradiation determines the Fe<sup>3+</sup>/Fe<sup>2+</sup> ratio and, therefore the amount of generated Fe<sub>3</sub>O<sub>4</sub> nanoparticles that decide magnetic field, NIR light, and moisture responsive actuating functionalities. Moreover, the external geometry of the composite can be tuned by inducing the formation of Al<sup>3+</sup>-carboxylate coordinates for strain retention, which enables shape programming of the composite to exhibit complex 3D-3D actuating behaviors. The proposed method enables the design and preparation of soft robots with spatially tunable magnetism and more advanced actuating behaviors.

Advanced ScienceVol. 12(18)
Liaocheng University (CN), Shaanxi Normal University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 8%
Micro and Nano Robotics
3.77
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