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Metal‐Organic Framework Nanoparticles in Photodynamic Therapy: Current Status and Perspectives

Lismont, Marjorie, Dreesen, Laurent, Wuttke, Stefan·2017·Advanced Functional Materials

Abstract

This feature article covers the recent applications of metal‐organic framework nanoparticles (MOF NPs) in photodynamic therapy (PDT) of cancer. It aims at giving the reader an overview about these two current research fields, i.e., MOF and PDT, and at highlighting the potential synergistic effect that could result from their association. After describing the general photophysics and photochemistry that underlie PDT, the relationship between photosensitizer (PS) properties and PDT requirements is discussed throughout the PSs historical development. This development reveals the advantages of using nanotechnology platforms for the creation of the ideal PS and leads us to define the fourth generation of PSs, which includes NPs built from the PS itself as porphysomes or PS‐based MOF NPs. Especially, the precise spatial control over the PS assembly into well‐defined MOF NPs, which keeps the PS in its monomeric form and prevents PS self‐quenching, appears as a notable feature to solve PS solubility and aggregation issues and therefore improves the PDT efficiency. Finally, we discuss the future perspectives of MOF NPs in PDT and shed light on how promising these nanomaterials are.

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Metadata

Authors
Lismont, M., Dreesen, L., & Wuttke, S.
Venue
Advanced Functional Materials
Publisher
Wiley
Published
2017-03-03
Volume
27
Issue
14
ISSN
  • 1616-301X (ISSN-L)
  • 1616-3028
OpenAlex
W2594479214
Cited by
622
References
6
FWCI
56.50
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Metal‐Organic Framework Nanoparticles in Photodynamic Therapy: Current Status and Perspectives. https://app.cochat.ai/papers/10.1002/adfm.201606314
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Lismont, M., Dreesen, L., & Wuttke, S. (2017). Metal‐Organic Framework Nanoparticles in Photodynamic Therapy: Current Status and Perspectives. Advanced Functional Materials. https://doi.org/10.1002/adfm.201606314

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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.