The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Micro- and nano-motors for biomedical applications
Abstract
Micro- and nano-motors are a class of miniaturized man-made machines that are able to convert chemical or external energy into mechanical motion. The past decade has witnessed significant progress in the design and fabrication of micro- and nano-motors as a future intelligent and comprehensive biomedical platform. In this review we will critically assess the challenges and limitations of micro- and nano-motors, their mechanism of propulsion and applications in the biomedical field. Important insights into the future development and direction of nano-motors for improved biocompatibility and design will be discussed.
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Citations
Cites
The Molecular Motor Toolbox for Intracellular Transport
Vale, R. D. (2003) · Cell · doi:10.1016/s0092-8674(03)00111-9 · Cited by 1,982
Cited by
The Environmental Impact of Micro/Nanomachines: A Review
Gao, W., & Wang, J. (2014) · ACS Nano · doi:10.1021/nn500077a · Cited by 594
Emergent behavior in active colloids
Zöttl, A., & Stark, H. (2016) · Journal of Physics: Condensed Matter · doi:10.1088/0953-8984/28/25/253001 · Cited by 426
Metadata
- Authors
- Abdelmohsen, L. K. E. A., Peng, F., Tu, Y., & Wilson, D. A.
- Venue
- J. Mater. Chem. B
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2014
- Volume
- 2
- Issue
- 17
- Pages
- 2395-2408
- ISSN
- 2050-750X (ISSN-L)
- 2050-7518
- OpenAlex
- W2016647892
- Cited by
- 244
- References
- 1
- FWCI
- 9.01
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Micro- and nano-motors for biomedical applications. https://app.cochat.ai/papers/10.1039/c3tb21451f
- The paper
- Abdelmohsen, L. K. E. A., Peng, F., Tu, Y., & Wilson, D. A. (2014). Micro- and nano-motors for biomedical applications. J. Mater. Chem. B. https://doi.org/10.1039/c3tb21451f
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
