The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Facile Synthesis of Uniform Virus-like Mesoporous Silica Nanoparticles for Enhanced Cellular Internalization
Open accessAbstract
High Resolution Image Download MS PowerPoint Slide The low-efficiency cellular uptake property of current nanoparticles greatly restricts their application in the biomedical field. Herein, we demonstrate that novel virus-like mesoporous silica nanoparticles can easily be synthesized, showing greatly superior cellular uptake property. The unique virus-like mesoporous silica nanoparticles with a spiky tubular rough surface have been successfully synthesized via a novel single-micelle epitaxial growth approach in a low-concentration-surfactant oil/water biphase system. The virus-like nanoparticles’ rough surface morphology results mainly from the mesoporous silica nanotubes spontaneously grown via an epitaxial growth process. The obtained nanoparticles show uniform particle size and excellent monodispersity. The structural parameters of the nanoparticles can be well tuned with controllable core diameter (∼60–160 nm), tubular length (∼6–70 nm), and outer diameter (∼6–10 nm). Thanks to the biomimetic morphology, the virus-like nanoparticles show greatly superior cellular uptake property (invading living cells in large quantities within few minutes, <5 min), unique internalization pathways, and extended blood circulation duration ( t 1/2 = 2.16 h), which is much longer than that of conventional mesoporous silica nanoparticles (0.45 h). Furthermore, our epitaxial growth strategy can be applied to fabricate various virus-like mesoporous core–shell structures, paving the way toward designed synthesis of virus-like nanocomposites for biomedicine applications.
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Cites
Nanocarriers as an emerging platform for cancer therapy
Peer, D., Karp, J. M., Hong, S., Farokhzad, O. C., Margalit, R., & Langer, R. (2007) · Nature Nanotechnology · doi:10.1038/nnano.2007.387 · Cited by 8,710
Multifunctional Magnetic Nanoparticles: Design, Synthesis, and Biomedical Applications
Gao, J., Gu, H., & Xu, B. (2009) · Accounts of Chemical Research · doi:10.1021/ar9000026 · Cited by 1,907
Walkey, C. D., & Chan, W. C. W. (2012) · Chem. Soc. Rev. · doi:10.1039/c1cs15233e · Cited by 1,758
Xia, T., Kovochich, M., Liong, M., Meng, H., Kabehie, S., George, S., Zink, J. I., & Nel, A. E. (2009) · ACS Nano · doi:10.1021/nn900918w · Cited by 933
Duan, X., & Li, Y. (2013) · Small · doi:10.1002/smll.201201390 · Cited by 926
Cited by
Understanding nanoparticle endocytosis to improve targeting strategies in nanomedicine
Sousa de Almeida, M., Susnik, E., Drasler, B., Taladriz-Blanco, P., Petri-Fink, A., & Rothen-Rutishauser, B. (2021) · Chemical Society Reviews · doi:10.1039/d0cs01127d · Cited by 1,079
Versatile Types of Organic/Inorganic Nanohybrids: From Strategic Design to Biomedical Applications
Zhao, N., Yan, L., Zhao, X., Chen, X., Li, A., Zheng, D., Zhou, X., Dai, X., & Xu, F.-J. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00401 · Cited by 429
Biosafety of mesoporous silica nanoparticles; towards clinical translation
Lérida-Viso, A., Estepa-Fernández, A., García-Fernández, A., Martí-Centelles, V., & Martínez-Máñez, R. (2023) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2023.115049 · Cited by 279
Metadata
- Authors
- Wang, W., Wang, P., Tang, X., Elzatahry, A. A., Wang, S., Al-Dahyan, D., Zhao, M., Yao, C., Hung, C.-T., Zhu, X., Zhao, T., Li, X., Zhang, F., & Zhao, D.
- Venue
- ACS Central Science
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-07-26
- Volume
- 3
- Issue
- 8
- Pages
- 839-846
- ISSN
- 2374-7943 (ISSN-L)
- 2374-7951
- OpenAlex
- W2736417543
- Cited by
- 330
- References
- 5
- FWCI
- 7.34
- Type
- journal article
- Language
- en
- Open access
- diamond
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- Wang, W., Wang, P., Tang, X., Elzatahry, A. A., Wang, S., Al-Dahyan, D., Zhao, M., Yao, C., Hung, C.-T., Zhu, X., Zhao, T., Li, X., Zhang, F., & Zhao, D. (2017). Facile Synthesis of Uniform Virus-like Mesoporous Silica Nanoparticles for Enhanced Cellular Internalization. ACS Central Science. https://doi.org/10.1021/acscentsci.7b00257
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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