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Propulsion of Microobjects by Dynamic Bipolar Self-Regeneration
Abstract
Dynamic bipolar self-regeneration is a new mechanism that allows controlled motion of metallic microobjects to be induced. This technique is based on the concept of bipolar electrochemistry, in which different redox reactions occur at the two extremities of a substrate under the influence of an external electric field. To create the motion of a metallic object, one end has to be the site of metal deposition and the other the site of metal dissolution. Propulsion of zinc macro- and microswimmers at speeds of up to 80 μm s(-1) has been achieved.
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Citations
Cited by
The Environmental Impact of Micro/Nanomachines: A Review
Gao, W., & Wang, J. (2014) · ACS Nano · doi:10.1021/nn500077a · Cited by 594
Hydrogen-Bubble-Propelled Zinc-Based Microrockets in Strongly Acidic Media
Gao, W., Uygun, A., & Wang, J. (2012) · Journal of the American Chemical Society · doi:10.1021/ja210874s · Cited by 389
Bioinspired Helical Microswimmers Based on Vascular Plants
Gao, W., Feng, X., Pei, A., Kane, C. R., Tam, R., Hennessy, C., & Wang, J. (2014) · Nano Letters · doi:10.1021/nl404044d · Cited by 380
Zhu, Z., Qiu, J., Xie, L., & Wang, L. (2025) · Advanced Sustainable Systems · doi:10.1002/adsu.202500159 · Cited by 3
Metadata
- Authors
- Loget, G., & Kuhn, A.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-10-21
- Volume
- 132
- Issue
- 45
- Pages
- 15918-15919
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2318737198
- Cited by
- 167
- References
- 0
- FWCI
- 9.77
- Type
- journal article
- Language
- en
- Open access
- closed
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- Loget, G., & Kuhn, A. (2010). Propulsion of Microobjects by Dynamic Bipolar Self-Regeneration. Journal of the American Chemical Society. https://doi.org/10.1021/ja107644x
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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.
