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Updated: Jan 16, 2026

Photodynamic Therapy with Blended Conducting Polymer/Fullerene Nanoparticle Photosensitizers
Published on: October 28, 2015
Naphthalimide-Based Type-I Nano-Photosensitizers for Enhanced Antitumor Photodynamic Therapy: H2S Synergistically
Huiyu Niu1, Songnan Wang1, Yang Liu1
1Key Laboratory of Green Chemical Media and Reactions, Ministry of Education, Henan International Joint Laboratory of Smart Molecules and Identification and Diagnostic Functions, Collaborative Innovation Centre of Henan Province for Green Manufacturing of Fine Chemicals, School of Chemistry and Chemical Engineering, Henan Normal University, Xinxiang, Henan, 453007, P.R. China.
Abstract:
Photodynamic therapy (PDT) relies on a combination of light and photosensitizers (PSs) to achieve local control over cancerous lesions. However, it is subject to limitations, including tumor hypoxia, low tumor targeting, off-target phototoxicity, and always-on fluorescence. Here, we propose a design strategy for activated nano-PSs (N-PSs) to simultaneously overcome the limitations of PDT, wherein photoinduced electron transfer (PeT) is coupled with an endogenous H2S-regulated self-association process to promote Type-I photochemical reactions. Using theoretical calculations, spectral analysis, and microscopic imaging, we verified the generation of self-assembly and occurrence of PeT. And it was also shown that H2S could synergistically inhibit the PeT and self-assembly, reflecting by a 21-fold increase in fluorescence intensity at 635 nm and 35-fold enhancement of the Type-I photochemical reaction as inferred from O2 - generation. Moreover, the most promising self-assembled N-PS, Ts3-ONB, was found to almost completely inhibit tumor growth in mice under two-photon excitation through the synergistic regulation of PeT and self-assembly by endogenous H2S (V14 days Ts3-ONB + Light group/V14 days Control group ≈ 0.02). As such, the synergistic combination of PeT and self-assembly is an effective design strategy for developing advanced N-PSs that can address some current PDT limitations.

