Aquabots.

Journal: ACS nano
Published Date:

Abstract

Soft robots, made from elastomers, easily bend and flex, but deformability constraints severely limit navigation through and within narrow, confined spaces. Using aqueous two-phase systems we print water-in-water constructs that, by aqueous phase-separation-induced self-assembly, produce ultrasoft liquid robots, termed aquabots, comprised of hierarchical structures that span in length scale from the nanoscopic to microsciopic, that are beyond the resolution limits of printing and overcome the deformability barrier. The exterior of the compartmentalized membranes is easily functionalized, for example, by binding enzymes, catalytic nanoparticles, and magnetic nanoparticles that impart sensitive magnetic responsiveness. These ultrasoft aquabots can adapt their shape for gripping and transporting objects and can be used for targeted photocatalysis, delivery, and release in confined and tortuous spaces. These biocompatible, multicompartmental, and multifunctional aquabots can be readily applied to medical micromanipulation, targeted cargo delivery, tissue engineering, and biomimetics.

Authors

  • Shipei Zhu
    Department of Mechanical Engineering, The University of Hong Kong, Hong Kong 999077, (SAR), Hong Kong, P. R. China.
  • Ganhua Xie
    Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley 94720, California, United States.
  • Huanqing Cui
    Department of Mechanical Engineering, The University of Hong Kong, Hong Kong 999077, (SAR), Hong Kong, P. R. China.
  • Qingchuan Li
    Department of Mechanical Engineering, The University of Hong Kong, Hong Kong 999077, (SAR), Hong Kong, P. R. China.
  • Joe Forth
    Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley 94720, California, United States.
  • Shuai Yuan
    MicroPort(Shanghai) MedBot Co. Ltd, Shanghai, 200031.
  • Jingxuan Tian
    Department of Mechanical Engineering, The University of Hong Kong, Hong Kong 999077, (SAR), Hong Kong, P. R. China.
  • Yi Pan
    Department of Neurosis and Psychosomatic Diseases, Huzhou Third Municipal Hospital, The Affiliated Hospital of Huzhou University, Huzhou, Zhejiang, China.
  • Wei Guo
    Emergency Department, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Yu Chai
    Department of Physics, The City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong 999077, P. R. China.
  • Yage Zhang
    Department of Mechanical Engineering, The University of Hong Kong, Hong Kong 999077, (SAR), Hong Kong, P. R. China.
  • Zhenyu Yang
    College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou, China.
  • Ryan Wing Hei Yu
    Department of Engineering, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, U.K.
  • Yafeng Yu
    Department of Mechanical Engineering, The University of Hong Kong, Hong Kong 999077, (SAR), Hong Kong, P. R. China.
  • Sihan Liu
    Department of Mechanical Engineering, The University of Hong Kong, Hong Kong 999077, (SAR), Hong Kong, P. R. China.
  • Youchuang Chao
    Max Planck Institute for Dynamics and Self-Organization, Göttingen 37077, Germany.
  • Yinan Shen
    Department of Physics, Harvard University, Cambridge 02138, Massachusetts, United States.
  • Sai Zhao
    Department of Physics, The City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong 999077, P. R. China.
  • Thomas P Russell
    Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley 94720, California, United States.
  • Ho Cheung Shum
    Department of Mechanical Engineering, The University of Hong Kong, Hong Kong 999077, (SAR), Hong Kong, P. R. China.