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Cited by 422

The DOI matches its Crossref record; 109 of the 109 references it cites were found in a registry or an index.

Biocompatibility of Mesoporous Silica Nanoparticles

Asefa, Tewodros, Tao, Zhimin·2012·Chemical Research in Toxicology

Abstract

In this review, recent reports on the biocompatibility of mesoporous silica nanoparticles (MSNs) are reviewed, with special emphasis being paid to the correlations between MSNs' structural and compositional features and their biological effects on various cells and tissues. First, the different synthetic routes used to produce the most common types of MSNs and the various methods employed to functionalize their surfaces are discussed. This is, however, done only briefly because of the focus of the review being the biocompatibility of the materials. Similarly, the biological applications of MSNs in areas such as drug and gene delivery, biocatalysis, bioimaging, and biosensing are briefly introduced. Many examples have also been mentioned about the biological applications of MSNs while discussing the materials' biocompatibility. The cytotoxicity of different types of MSNs and the effects of their various structural characteristics on their biological activities, which are the focus of this review, are then described in detail. In addition, synthetic strategies developed to reduce or eliminate any possible negative biological effects associated with MSNs or to improve their biocompatibility, as necessary, are illustrated. At the same time, recent reports on the interactions between MSNs and various in vivo or in vitro biological systems, plus our opinions and remarks on what the future may hold for this field, are included.

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Metadata

Authors
Asefa, T., & Tao, Z.
Venue
Chemical Research in Toxicology
Published
2012-08-10
Volume
25
Issue
11
Pages
2265-2284
ISSN
  • 0893-228X (ISSN-L)
  • 1520-5010
OpenAlex
W2024483368
Cited by
422
References
109
FWCI
10.43
Type
journal article
Language
en
Open access
closed

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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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