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Cited by 256

The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.

Improved Biocompatibility and Pharmacokinetics of Silica Nanoparticles by Means of a Lipid Coating: A Multimodality Investigation

Open access
van Schooneveld, Matti M., Vucic, Esad, Koole, Rolf, Zhou, Yu, Stocks, Joanne, Cormode, David P., Tang, Cheuk Y., Gordon, Ronald E., Nicolay, Klaas, Meijerink, Andries, Fayad, Zahi A., Mulder, Willem J. M.·2008·Nano Letters

Abstract

Silica is a promising carrier material for nanoparticle-facilitated drug delivery, gene therapy, and molecular imaging. Understanding of their pharmacokinetics is important to resolve bioapplicability issues. Here we report an extensive study on bare and lipid-coated silica nanoparticles in mice. Results obtained by use of a wide variety of techniques (fluorescence imaging, inductively coupled plasma mass spectrometry, magnetic resonance imaging, confocal laser scanning microscopy, and transmission electron microscopy) showed that the lipid coating, which enables straightforward functionalization and introduction of multiple properties, increases bioapplicability and improves pharmacokinetics.

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Registry

Crossref · 10.1021/nl801596a

Cites

49 of 49 references verified0 citation errors · 0 not checkable

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Metadata

Authors
van Schooneveld, M. M., Vucic, E., Koole, R., Zhou, Y., Stocks, J., Cormode, D. P., Tang, C. Y., Gordon, R. E., Nicolay, K., Meijerink, A., Fayad, Z. A., & Mulder, W. J. M.
Venue
Nano Letters
Published
2008-07-12
Volume
8
Issue
8
Pages
2517-2525
ISSN
  • 1530-6984 (ISSN-L)
  • 1530-6992
OpenAlex
W2098421622
Cited by
256
References
49
FWCI
8.24
Type
journal article
Language
en
Open access
green

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.