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Cited by 421

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Electrically Controlled Drug Delivery from Graphene Oxide Nanocomposite Films

Open access
Weaver, Cassandra L., LaRosa, Jaclyn M., Luo, Xiliang, Cui, Xinyan Tracy·2014·ACS Nano

Abstract

On-demand, local delivery of drug molecules to target tissues provides a means for effective drug dosing while reducing the adverse effects of systemic drug delivery. This work explores an electrically controlled drug delivery nanocomposite composed of graphene oxide (GO) deposited inside a conducting polymer scaffold. The nanocomposite is loaded with an anti-inflammatory molecule, dexamethasone, and exhibits favorable electrical properties. In response to voltage stimulation, the nanocomposite releases drug with a linear release profile and a dosage that can be adjusted by altering the magnitude of stimulation. No drug passively diffuses from the composite in the absence of stimulation. In vitro cell culture experiments demonstrate that the released drug retains its bioactivity and that no toxic byproducts leach from the film during electrical stimulation. Decreasing the size and thickness of the GO nanosheets, by means of ultrasonication treatment prior to deposition into the nanocomposite, alters the film morphology, drug load, and release profile, creating an opportunity to fine-tune the properties of the drug delivery system to meet a variety of therapeutic needs. The high level of temporal control and dosage flexibility provided by the electrically controlled GO nanocomposite drug delivery platform make it an exciting candidate for on-demand drug delivery.

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Metadata

Authors
Weaver, C. L., LaRosa, J. M., Luo, X., & Cui, X. T.
Venue
ACS Nano
Published
2014-01-17
Volume
8
Issue
2
Pages
1834-1843
ISSN
  • 1936-0851 (ISSN-L)
  • 1936-086X
OpenAlex
W2334475713
Cited by
421
References
5
FWCI
18.87
Type
journal article
Language
en
Open access
hybrid

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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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