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Cited by 479

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

Tuning payload delivery in tumour cylindroids using gold nanoparticles

Open access
Kim, Byoungjin, Han, Gang, Toley, Bhushan J., Kim, Chae-kyu, Rotello, Vincent M., Forbes, Neil S.·2010·Nature Nanotechnology

Abstract

Nanoparticles have great potential as controllable drug delivery vehicles because of their size and modular functionality. Timing and location are important parameters when optimizing nanoparticles for delivery of chemotherapeutics. Here we show that positively- and negatively-charged gold nanoparticles carrying either fluorescein or doxorubicin molecules move and localize differently in an in vitro three dimensional model of tumour tissue. Fluorescence microcopy and mathematical modelling showed that uptake, and not diffusion, is the dominant mechanism in particle delivery. Our results suggest that positive particles may be more effective for drug delivery because they are more significantly taken up by proliferating cells. Negative particles, which diffused faster, may perform better when delivering drugs deep into the tissues. An understanding of how surface charge can control tissue penetration and drug release may overcome some of the current limitations in drug delivery.

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Crossref · 10.1038/nnano.2010.58

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Metadata

Authors
Kim, B., Han, G., Toley, B. J., Kim, C.-K., Rotello, V. M., & Forbes, N. S.
Venue
Nature Nanotechnology
Published
2010-04-11
Volume
5
Issue
6
Pages
465-472
ISSN
  • 1748-3387 (ISSN-L)
  • 1748-3395
OpenAlex
W2034618316
Cited by
479
References
3
FWCI
15.99
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Tuning payload delivery in tumour cylindroids using gold nanoparticles. https://app.cochat.ai/papers/10.1038/nnano.2010.58
The paper
Kim, B., Han, G., Toley, B. J., Kim, C.-K., Rotello, V. M., & Forbes, N. S. (2010). Tuning payload delivery in tumour cylindroids using gold nanoparticles. Nature Nanotechnology. https://doi.org/10.1038/nnano.2010.58

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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.