The DOI matches its Crossref record; 168 of the 168 references it cites were found in a registry or an index.
Fuel‐Free Synthetic Micro‐/Nanomachines
Abstract
Inspired by the swimming of natural microorganisms, synthetic micro‐/nanomachines, which convert energy into movement, are able to mimic the function of these amazing natural systems and help humanity by completing environmental and biological tasks. While offering autonomous propulsion, conventional micro‐/nanomachines usually rely on the decomposition of external chemical fuels (e.g., H 2 O 2), which greatly hinders their applications in biologically relevant media. Recent developments have resulted in various micro‐/nanomotors that can be powered by biocompatible fuels. Fuel‐free synthetic micro‐/nanomotors, which can move without external chemical fuels, represent another attractive solution for practical applications owing to their biocompatibility and sustainability. Here, recent developments on fuel‐free micro‐/nanomotors (powered by various external stimuli such as light, magnetic, electric, or ultrasonic fields) are summarized, ranging from fabrication to propulsion mechanisms. The applications of these fuel‐free micro‐/nanomotors are also discussed, including nanopatterning, targeted drug/gene delivery, cell manipulation, and precision nanosurgery. With continuous innovation, future autonomous, intelligent and multifunctional fuel‐free micro‐/nanomachines are expected to have a profound impact upon diverse biomedical applications, providing unlimited opportunities beyond one's imagination.
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Cites
Observation of a single-beam gradient force optical trap for dielectric particles
Ashkin, A., Dziedzic, J. M., Bjorkholm, J. E., & Chu, S. (1986) · Optics Letters · doi:10.1364/ol.11.000288 · Cited by 7,030
A revolution in optical manipulation
Grier, D. G. (2003) · Nature · doi:10.1038/nature01935 · Cited by 5,123
Catalytic Nanomotors: Autonomous Movement of Striped Nanorods
Paxton, W. F., Kistler, K. C., Olmeda, C. C., Sen, A., St. Angelo, S. K., Cao, Y., Mallouk, T. E., Lammert, P. E., & Crespi, V. H. (2004) · Journal of the American Chemical Society · doi:10.1021/ja047697z · Cited by 2,128
Microrobots for Minimally Invasive Medicine
Nelson, B. J., Kaliakatsos, I. K., & Abbott, J. J. (2010) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-010510-103409 · Cited by 1,968
Microscopic artificial swimmers
Dreyfus, R., Baudry, J., Roper, M. L., Fermigier, M., Stone, H. A., & Bibette, J. (2005) · Nature · doi:10.1038/nature04090 · Cited by 1,853
Living Crystals of Light-Activated Colloidal Surfers
Palacci, J., Sacanna, S., Steinberg, A. P., Pine, D. J., & Chaikin, P. M. (2013) · Science · doi:10.1126/science.1230020 · Cited by 1,795
Nanoparticle biointerfacing by platelet membrane cloaking
Hu, C.-M. J., Fang, R. H., Wang, K.-C., Luk, B. T., Thamphiwatana, S., Dehaini, D., Nguyen, P., Angsantikul, P., Wen, C. H., Kroll, A. V., et al. (2015) · Nature · doi:10.1038/nature15373 · Cited by 1,789
Self-citationMassively parallel manipulation of single cells and microparticles using optical images
Chiou, P. Y., Ohta, A. T., & Wu, M. C. (2005) · Nature · doi:10.1038/nature03831 · Cited by 1,444
Controlled Propulsion of Artificial Magnetic Nanostructured Propellers
Ghosh, A., & Fischer, P. (2009) · Nano Letters · doi:10.1021/nl900186w · Cited by 1,296
Artificial bacterial flagella: Fabrication and magnetic control
Zhang, L., Abbott, J. J., Dong, L., Kratochvil, B. E., Bell, D., & Nelson, B. J. (2009) · Applied Physics Letters · doi:10.1063/1.3079655 · Cited by 1,199
Cited by
Liu, L., Chen, B., Liu, K., Gao, J., Ye, Y., Wang, Z., Qin, N., Wilson, D. A., Tu, Y., & Peng, F. (2020) · Advanced Functional Materials · doi:10.1002/adfm.201910108 · Cited by 150
Magnetic Nanostructures: Rational Design and Fabrication Strategies toward Diverse Applications
Wang, S., Xu, J., Li, W., Sun, S., Gao, S., & Hou, Y. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00370 · Cited by 129
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Metadata
- Authors
- Xu, T., Gao, W., Xu, L., Zhang, X., & Wang, S.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2016-12-27
- Volume
- 29
- Issue
- 9
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2566310330
- Cited by
- 417
- References
- 168
- FWCI
- 24.48
- Type
- journal article
- Language
- en
- Open access
- closed
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