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Engineered g-C3N4 Quantum Dots for Tunable Two-Photon Imaging and Photodynamic Therapy
Xiaoxia Wu1,2, Lingyan Yang2, Liang Luo2
1School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
ACS Applied Bio Materials
|January 15, 2022
Summary
Engineered graphitic carbon nitride quantum dots offer a single-component solution for near-infrared light-triggered cancer imaging and therapy. These nanomaterials show promise for dual-modal diagnostic and therapeutic applications in oncology.
Area of Science:
- Nanotechnology
- Biomedical Engineering
- Materials Science
Background:
- Complex multi-component systems hinder NIR-light-triggered diagnostic and therapeutic applications.
- Developing single-component nanoplatforms with dual functionality is crucial for advancing biomedical applications.
Purpose of the Study:
- To develop a single-component dual-functional nanoplatform for near-infrared (NIR) light-triggered two-photon imaging (TPI) and two-photon excited photodynamic therapy (TPE-PDT).
- To engineer graphitic carbon nitride quantum dots (g-C3N4 QDs) with tunable capabilities for TPI and TPE-PDT.
Main Methods:
- Synthesized three types of engineered g-C3N4 QDs (CN, CN-DPT, CN-THDT) via copolymerization of melamine with selected monomers.
- Evaluated in vitro cytotoxicity and biocompatibility of the synthesized QDs.
- Assessed TPI and TPE-PDT performance under an 800 nm NIR laser.
Main Results:
- All synthesized g-C3N4 QDs demonstrated excellent biocompatibility and tumor cell delivery.
- CN-DPT QDs exhibited a strong TPI signal and efficient reactive oxygen species (ROS) generation for TPE-PDT under NIR laser irradiation.
- The single-component CN-DPT QDs effectively performed dual-functional TPI and TPE-PDT.
Conclusions:
- Engineered g-C3N4 QDs offer a stable, biocompatible, single-component platform for dual-modal TPI and TPE-PDT.
- These findings suggest potential for g-C3N4-based nanomaterials as novel theranostic agents in cancer treatment.
- The developed nanoplatform overcomes limitations of complex multi-component systems.

