Dual-responsive Tumbleweed-inspired Soft Robot Based on Poly(N‑isopropylacrylamide) and MoS2 for Targeted Drug Delivery in Stomach

IF 4.9 3区 计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY
Xiangyu Teng, Shuxuan Yu, Zezheng Qiao, Zhixing Ge, Wenguang Yang
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引用次数: 0

Abstract

In recent years, robots used for targeted drug delivery in the stomach have received extensive attention. Inspired by tumbleweeds, we have designed a dual-responsive soft robot based on poly(N‑isopropylacrylamide) and MoS2. Under the action of an adjustable magnetic field, it can achieve steady motion at a frequency that allows it to move up to 35 mm/s, demonstrating high flexibility and controllability. It can also roll along a predetermined path, traverse mazes, climb over obstacles, among other functions. In addition, by harnessing the photothermal conversion effect of MoS2, the robot can be opened and closed using light, enabling controlled drug release. Targeted drug delivery is achieved in a gastric model using our designed soft robot, marking a significant clinical advancement expected to revolutionize future medical treatments and enhance the efficacy of drug therapy.

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来源期刊
Journal of Bionic Engineering
Journal of Bionic Engineering 工程技术-材料科学:生物材料
CiteScore
7.10
自引率
10.00%
发文量
162
审稿时长
10.0 months
期刊介绍: The Journal of Bionic Engineering (JBE) is a peer-reviewed journal that publishes original research papers and reviews that apply the knowledge learned from nature and biological systems to solve concrete engineering problems. The topics that JBE covers include but are not limited to: Mechanisms, kinematical mechanics and control of animal locomotion, development of mobile robots with walking (running and crawling), swimming or flying abilities inspired by animal locomotion. Structures, morphologies, composition and physical properties of natural and biomaterials; fabrication of new materials mimicking the properties and functions of natural and biomaterials. Biomedical materials, artificial organs and tissue engineering for medical applications; rehabilitation equipment and devices. Development of bioinspired computation methods and artificial intelligence for engineering applications.
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