A trident-like multi-cationic photosensitizer with stabilized membrane camouflage for efficient tumor-targeted photodynamic therapy

We develop a unique trident-like multi-cationic photosensitizer (PS) with an acceptor-donor-acceptor (A-D-A) structure to enhance photodynamic therapy (PDT). The design minimizes PS leakage from membrane camouflaged nanoparticles (<1% in 24 h) <i>via</i> hydrophilic anchoring, while boosting ROS generation (13.8-fold higher <sup>1</sup>O<sub>2</sub> than Rose Bengal) through excited state optimization, thus significantly improving tumor-targeted PDT efficiency.

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Publication Details

Journal
Chemical Communications
Published
2025-01-01
DOI
https://doi.org/10.1039/d5cc02248g
Primary Topic
Nanoplatforms for cancer theranostics
Type
article
Field-Weighted Citation Impact
0.00

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article

A trident-like multi-cationic photosensitizer with stabilized membrane camouflage for efficient tumor-targeted photodynamic therapy

Chengyun Wang, Weijun Zhao, Guang Hua Yi, Jiayi Li et al.
Chemical Communications
Nanoplatforms for cancer theranostics
article

A trident-like multi-cationic photosensitizer with stabilized membrane camouflage for efficient tumor-targeted photodynamic therapy

Chengyun Wang, Weijun Zhao, Guang Hua Yi, Jiayi Li, Chen Peng, Qiqi Xu, Ying Wang
article en

Abstract

We develop a unique trident-like multi-cationic photosensitizer (PS) with an acceptor-donor-acceptor (A-D-A) structure to enhance photodynamic therapy (PDT). The design minimizes PS leakage from membrane camouflaged nanoparticles (<1% in 24 h) <i>via</i> hydrophilic anchoring, while boosting ROS generation (13.8-fold higher <sup>1</sup>O<sub>2</sub> than Rose Bengal) through excited state optimization, thus significantly improving tumor-targeted PDT efficiency.

Chemical CommunicationsVol. 61(68)
East China University of Science and Technology (CN), Shanghai Public Health Clinical Center (CN)
Natural Science Foundation of Shanghai, National Natural Science Foundation of China
Openalex Percentile: Top 83%
Nanoplatforms for cancer theranostics
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