4.8 Article

Chemically programmable microrobots weaving a web from hormones

Journal

NATURE MACHINE INTELLIGENCE
Volume 2, Issue 11, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s42256-020-00248-0

Keywords

-

Funding

  1. Ministry of Education, Youth and Sports (Czech Republic) under the ERC CZ programme [LL2002]
  2. Czech Science Foundation (GACR) [20-20201S]

Ask authors/readers for more resources

The occurrence of synthetic and natural hormones in an aqueous environment poses significant risks to humans because of their endocrine-disrupting activity. Autonomous self-propelled and remotely actuated nano/microrobots have emerged as a new field that encompasses a wide range of potential applications, including sensing, detection and elimination/degradation of emerging pollutants. In this work, we develop programmable polypyrrole-based (PPy, outer functional layer) microrobots incorporated with a Pt catalytic layer and paramagnetic iron nanoparticles (Fe3O4) to provide self-propulsion and a magnetic response for the highly efficient removal of oestrogenic pollutants. As the pH of the tested water alters, the surface charge of PPy/Fe3O4/Pt microrobots gradually changes, leading to affinity modulation. As microrobots move inside the solution, they collect oestrogen fibres and subsequently weave macroscopic webs on the surface. Our results suggest that motion-controllable microrobots with adjustable surface chemistry could provide a suitable platform for the highly efficient removal of hormonal pollutants. Microrobots are usually too small to contain traditional computing substrates that could control their behaviour. Dekanovsky and colleagues have developed a microrobot swarm that removes hormonal pollutants when it senses a chemical signal in its environment.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available