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Cited by 225

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Photoactivated nanomaterials for biomedical release applications

Sortino, Salvatore·2012·J. Mater. Chem.

Abstract

The achievement of nanomaterials able to release therapeutic agents in a controlled fashion is a major challenge in the burgeoning field of nanomedicine. Light represents the most elegant and non-invasive trigger to deliver bio-active compounds on demand since it allows the accurate control of three key factors determining the therapeutic outcome including site, timing and dosage. Recent breakthroughs in nanotechnology offer the opportunity to characterize, manipulate and organize matter at the nanometre scale, controlling the size and shape of the resulting nanomaterials and greatly improving the biocompatibility and the cellular uptake efficiency. This feature article illustrates some recent advances in the fabrication of light-triggered nanomaterials for biomedical delivery, describing representative examples from our laboratory and others, underlying the logical design and highlighting the potential applications in some major areas such as drug and gene release, photodynamic and photothermal therapy.

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Metadata

Authors
Sortino, S.
Venue
J. Mater. Chem.
Published
2012
Volume
22
Issue
2
Pages
301-318
ISSN
  • 0959-9428 (ISSN-L)
  • 1364-5501
OpenAlex
W2065426414
Cited by
225
References
6
FWCI
12.22
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Photoactivated nanomaterials for biomedical release applications. https://app.cochat.ai/papers/10.1039/c1jm13288a
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Sortino, S. (2012). Photoactivated nanomaterials for biomedical release applications. J. Mater. Chem. https://doi.org/10.1039/c1jm13288a

Data sources

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.