纳米技术
软机器人
胶粘剂
粘附
材料科学
离体
水下
软质材料
生物医学工程
体内
计算机科学
复合材料
机器人
生物
人工智能
地质学
工程类
生物技术
海洋学
图层(电子)
作者
Ziliang Kang,Jasmine C. Gomez,Aftin M. Ross,Ameya R. Kirtane,Mingwen Zhao,Yubin Cai,Feijie Chen,Chao Chen,Isaac Diaz Becdach,Rajib Dey,Andrei Russel Ismael,Injoo Moon,Yiyuan Yang,B.S. Müller,Mehmet Girayhan Say,Andrew Pettinari,Jason Kobrin,Joshua Morimoto,Ted Smierciak,Aaron Lopes
出处
期刊:Nature
[Nature Portfolio]
日期:2025-07-23
卷期号:643 (8074): 1271-1280
被引量:6
标识
DOI:10.1038/s41586-025-09304-4
摘要
Abstract Achieving long-term underwater adhesion to dynamic, regenerating soft substrates that undergo extreme fluctuations in pH and moisture remains a major unresolved challenge, with far-reaching implications for healthcare, manufacturing, robotics and marine applications 1–16 . Here, inspired by remoras—fish equipped with specialized adhesive discs—we developed the Mechanical Underwater Soft Adhesion System (MUSAS). Through detailed anatomical, behavioural, physical and biomimetic investigations of remora adhesion on soft substrates, we uncovered the key physical principles and evolutionary adaptations underlying their robust attachment. These insights guided the design of MUSAS, which shows extraordinary versatility, adhering securely to a wide range of soft substrates with varying roughness, stiffness and structural integrity. MUSAS achieves an adhesion-force-to-weight ratio of up to 1,391-fold and maintains performance under extreme pH and moisture conditions. We demonstrate its utility across highly translational models, including in vitro, ex vivo and in vivo settings, enabling applications such as ultraminiaturized aquatic kinetic temperature sensors, non-invasive gastroesophageal reflux monitoring, long-acting antiretroviral drug delivery and messenger RNA administration via the gastrointestinal tract.
科研通智能强力驱动
Strongly Powered by AbleSci AI