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Cited by 420

The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.

Advanced Photosensitizer Activation Strategies for Smarter Photodynamic Therapy Beacons

Luby, Benjamin M., Walsh, Connor D., Zheng, Gang·2019·Angewandte Chemie International Edition

Abstract

Photodynamic therapy (PDT) is a clinical treatment in which a light‐absorbing drug called a photosensitizer (PS) is combined with light and molecular oxygen to generate cytotoxic singlet oxygen. PDT provides additional tissue selectivity compared to conventional chemotherapy as singlet oxygen is generated only in areas in which PS accumulates and that are simultaneously illuminated by a light source with sufficient irradiance and dose. Early PDT beacons built on this concept by adding an analyte‐responsive element that simultaneously turns on PDT and fluorescence, providing both an additional layer of selectivity and real‐time feedback of the PS′s activation state. More recent PDT beacons have expanded this idea, with new methods now available for sensing analytes, generating singlet oxygen, and reporting treatment status. In this Minireview, we consider developments in advanced activation strategies implemented in therapeutic and theranostic beacons.

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Metadata

Authors
Luby, B. M., Walsh, C. D., & Zheng, G.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2018-12-28
Volume
58
Issue
9
Pages
2558-2569
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2808181737
Cited by
420
References
66
FWCI
32.63
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Advanced Photosensitizer Activation Strategies for Smarter Photodynamic Therapy Beacons. https://app.cochat.ai/papers/10.1002/anie.201805246
The paper
Luby, B. M., Walsh, C. D., & Zheng, G. (2019). Advanced Photosensitizer Activation Strategies for Smarter Photodynamic Therapy Beacons. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201805246

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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.