Near infrared light driven nanocatalyst with hole-mediated GSH-depletion for augmented memory therapy
Photocatalytic therapy holds promise as a non-invasive approach for tumor treatment and is currently under active development. However, its effectiveness relies on continuous laser radiation, which can limit its practical application. To overcome this challenge, we designed a novel composite photocatalyst composed of SnO<sub>2</sub> nanoparticles strategically decorated on Cu<sub>2</sub>O nanospheres. This unique design creates a p-n heterojunction that serves as a robust driving force for photogenerated electrons and holes under 808 nm laser illumination. This enhanced photocatalytic activity results in the generation of reactive oxygen species (ROS) and depletion of glutathione (GSH), further augmenting the anti-tumor effect. It is noteworthy that the Cu<sub>2</sub>O@SnO<sub>2</sub> nanocatalyst exhibits remarkable "memory" of photocatalytic activity, ensuring effective tumor treatment even after the laser is stopped. This study offers a promising approach for sustained tumor treatment, even after the laser radiation has been stopped.
Authors
- Chao Hu (ORCID: https://orcid.org/0000-0001-8886-1056)
- Y.T. Tang (ORCID: https://orcid.org/0009-0001-3695-4522)
- Zhiming Deng (ORCID: https://orcid.org/0009-0003-0546-6280)
- Jiayou Tao (ORCID: https://orcid.org/0000-0002-7232-2223)
- Hanlin Wei
- Jun Zhong
- Qi Zheng
- Junhong Li (ORCID: https://orcid.org/0009-0002-0370-3433)
Institutions
- Hunan Institute of Science and Technology (CN)
- Hunan University (CN)
- Hunan Institute of Engineering (CN)
- Shanghai University of Traditional Chinese Medicine (CN)
- Yueyang Second People's Hospital (CN)
- Yueyang Hospital (CN)
- Yueyang Changling Equipment Research Institute (China) (CN)
- Hunan Provincial Maternal and Child Health Hospital (CN)
Publication Details
- Journal
- Journal of Materials Chemistry B
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5tb00892a
- Citations
- 1
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.73
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Hunan Province
- Science and Technology Program of Hunan Province