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Cited by 691

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Mesoporous silica nanoparticle based nano drug delivery systems: synthesis, controlled drug release and delivery, pharmacokinetics and biocompatibility

He, Qianjun, Shi, Jianlin·2011·Journal of Materials Chemistry

Abstract

The biomedical applications of mesoporous silica nanoparticles (MSNs) as efficient drug delivery carriers have attracted great attention in the last decade. The structure, morphology, size, and surface properties of MSNs have been found to be facilely tunable for the purposes of drug loading, controlled drug release and delivery, and multifuctionalization. Meanwhile, the biosafety and in vivo drug efficiency of MSN-based nano drug delivery systems (nano-DDSs), involving biocompatibility (including cytotoxicity, blood and tissue compatibility) and pharmacokinetics (including biodistribution, biodegradation, retention, excretion, blood circulation) are also drawing increasing attention because of their clinical application prospects. Herein, we review the most recent research progresses on the synthesis, controlled drug release and delivery, pharmacokinetics and biocompatibility of MSNs.

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Metadata

Authors
He, Q., & Shi, J.
Venue
Journal of Materials Chemistry
Published
2011
Volume
21
Issue
16
Pages
5845
ISSN
  • 0959-9428 (ISSN-L)
  • 1364-5501
OpenAlex
W2060887828
Cited by
691
References
3
FWCI
33.15
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Mesoporous silica nanoparticle based nano drug delivery systems: synthesis, controlled drug release and delivery, pharmacokinetics and biocompatibility. https://app.cochat.ai/papers/10.1039/c0jm03851b
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He, Q., & Shi, J. (2011). Mesoporous silica nanoparticle based nano drug delivery systems: synthesis, controlled drug release and delivery, pharmacokinetics and biocompatibility. Journal of Materials Chemistry. https://doi.org/10.1039/c0jm03851b

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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.