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Cited by 1,081

The DOI matches its Crossref record; 220 of the 220 references it cites were found in a registry or an index.

Photosensitizers for Photodynamic Therapy

Lan, Minhuan, Zhao, Shaojing, Liu, Weimin, Lee, Chun‐Sing, Zhang, Wenjun, Wang, Pengfei·2019·Advanced Healthcare Materials

Abstract

As an emerging clinical modality for cancer treatment, photodynamic therapy (PDT) takes advantage of the cytotoxic activity of reactive oxygen species (ROS) that are generated by light irradiating photosensitizers (PSs) in the presence of oxygen (O 2). However, further advancements including tumor selectivity and ROS generation efficiency are still required. Substantial efforts are devoted to design and synthesize smart PSs with optimized properties for achieving a desirable therapeutic efficacy. This review summarizes the recent progress in developing intelligent PSs for efficient PDT, ranging from single molecules to delicate nanomaterials. The strategies to improve ROS generation through optimizing photoinduced electron transfer and energy transfer processes of PSs are highlighted. Moreover, the approaches that combine PDT with other therapeutics (e.g., chemotherapy, photothermal therapy, and radiotherapy) and the targeted delivery in cancer cells or tumor tissue are introduced. The main challenges for the clinical application of PSs are also discussed.

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Metadata

Authors
Lan, M., Zhao, S., Liu, W., Lee, C., Zhang, W., & Wang, P.
Venue
Advanced Healthcare Materials
Publisher
Wiley
Published
2019-05-08
Volume
8
Issue
13
Pages
e1900132-e1900132
ISSN
  • 2192-2640 (ISSN-L)
  • 2192-2659
OpenAlex
W2944794168
Cited by
1,081
References
220
FWCI
71.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Photosensitizers for Photodynamic Therapy. https://app.cochat.ai/papers/10.1002/adhm.201900132
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Lan, M., Zhao, S., Liu, W., Lee, C., Zhang, W., & Wang, P. (2019). Photosensitizers for Photodynamic Therapy. Advanced Healthcare Materials. https://doi.org/10.1002/adhm.201900132

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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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