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Topographical pathways guide chemical microswimmers

Open access
Simmchen, Juliane, Katuri, Jaideep, Uspal, William E., Popescu, Mihail N., Tasinkevych, Mykola, Sánchez, Samuel·2016·Nature Communications

Abstract

Achieving control over the directionality of active colloids is essential for their use in practical applications such as cargo carriers in microfluidic devices. So far, guidance of spherical Janus colloids was mainly realized using specially engineered magnetic multilayer coatings combined with external magnetic fields. Here we demonstrate that step-like submicrometre topographical features can be used as reliable docking and guiding platforms for chemically active spherical Janus colloids. For various topographic features (stripes, squares or circular posts), docking of the colloid at the feature edge is robust and reliable. Furthermore, the colloids move along the edges for significantly long times, which systematically increase with fuel concentration. The observed phenomenology is qualitatively captured by a simple continuum model of self-diffusiophoresis near confining boundaries, indicating that the chemical activity and associated hydrodynamic interactions with the nearby topography are the main physical ingredients behind the observed behaviour.

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Metadata

Authors
Simmchen, J., Katuri, J., Uspal, W. E., Popescu, M. N., Tasinkevych, M., & Sánchez, S.
Venue
Nature Communications
Published
2016-02-09
Volume
7
Issue
1
Pages
10598-10598
ISSN
2041-1723 (ISSN-L)
OpenAlex
W2270533906
Cited by
403
References
0
FWCI
31.05
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Topographical pathways guide chemical microswimmers. https://app.cochat.ai/papers/10.1038/ncomms10598
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Simmchen, J., Katuri, J., Uspal, W. E., Popescu, M. N., Tasinkevych, M., & Sánchez, S. (2016). Topographical pathways guide chemical microswimmers. Nature Communications. https://doi.org/10.1038/ncomms10598

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.