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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