Chemically programmable microrobots weaving a web from hormones
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22310%2F20%3A43920515" target="_blank" >RIV/60461373:22310/20:43920515 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26620/20:PU143731
Result on the web
<a href="https://www.nature.com/articles/s42256-020-00248-0" target="_blank" >https://www.nature.com/articles/s42256-020-00248-0</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s42256-020-00248-0" target="_blank" >10.1038/s42256-020-00248-0</a>
Alternative languages
Result language
angličtina
Original language name
Chemically programmable microrobots weaving a web from hormones
Original language description
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. © 2020, The Author(s), under exclusive licence to Springer Nature Limited.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10402 - Inorganic and nuclear chemistry
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Nature Machine Intelligence
ISSN
2522-5839
e-ISSN
—
Volume of the periodical
2
Issue of the periodical within the volume
11
Country of publishing house
GB - UNITED KINGDOM
Number of pages
8
Pages from-to
711-718
UT code for WoS article
000594349400001
EID of the result in the Scopus database
2-s2.0-85095785849