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Malekmohammadi, S., Mohammed, R.U.R., Samadian, H., Zarebkohan, A., García-Fernández, A., Kokil, G.R., Sharifi, F., Esmaeili, J., Bhia, M., Razavi, M., Bodaghi, M. 
ORCID: 0000-0002-0707-944X, Kumeria, T. and Martínez-Máñez, R.,
2022.
Nonordered dendritic mesoporous silica nanoparticles as promising platforms for advanced methods of diagnosis and therapies.
Materials Today Chemistry, 26: 101144.
ISSN 2468-5194
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Text
1606591_Bodaghi.pdf - Published version Download (7MB) | Preview |
Abstract
Dendritic mesoporous silica nanoparticles (DMSNs) are a new generation of porous materials that have gained great attention compared to other mesoporous silicas due to attractive properties, including straightforward synthesis methods, modular surface chemistry, high surface area, tunable pore size, chemical inertness, particle size distribution, excellent biocompatibility, biodegradability, and high pore volume compared with conventional mesoporous materials. The last years have witnessed a blooming growth of the extensive utilization of DMSNs as an efficient platform in a broad spectrum of biomedical and industrial applications, such as catalysis, energy harvesting, biosensing, drug/gene delivery, imaging, theranostics, and tissue engineering. DMSNs are considered great candidates for nanomedicine applications due to their ease of surface functionalization for targeted and controlled therapeutic delivery, high therapeutic loading capacity, minimizing adverse effects, and enhancing biocompatibility. In this review, we will extensively detail state-of-the-art studies on recent advances in synthesis methods, structure, properties, and applications of DMSNs in the biomedical field with an emphasis on the different delivery routes, cargos, and targeting approaches and a wide range of therapeutic, diagnostic, tissue engineering, vaccination applications and challenges and future implications of DMSNs as cutting-edge technology in medicine.
| Item Type: | Journal article | ||||||
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| Publication Title: | Materials Today Chemistry | ||||||
| Creators: | Malekmohammadi, S., Mohammed, R.U.R., Samadian, H., Zarebkohan, A., García-Fernández, A., Kokil, G.R., Sharifi, F., Esmaeili, J., Bhia, M., Razavi, M., Bodaghi, M., Kumeria, T. and Martínez-Máñez, R. | ||||||
| Publisher: | Elsevier BV | ||||||
| Date: | December 2022 | ||||||
| Volume: | 26 | ||||||
| ISSN: | 2468-5194 | ||||||
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| Rights: | © 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). | ||||||
| Divisions: | Schools > School of Science and Technology | ||||||
| Record created by: | Laura Ward | ||||||
| Date Added: | 06 Oct 2022 14:02 | ||||||
| Last Modified: | 06 Oct 2022 14:02 | ||||||
| URI: | https://irep.ntu.ac.uk/id/eprint/47221 |
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