研究目的
To develop a functionalized metal-organic framework (MOF) for photodynamic therapy (PDT) by introducing a porphyrin-based ligand via post-synthetic ligand exchange to enhance stability and photodynamic effects for cancer treatment.
研究成果
The post-synthetic ligand exchange successfully introduced TCPP into NU-1000, enhancing its stability and photodynamic properties. NT demonstrated excellent ROS generation under laser irradiation, effective cancer cell killing in vitro and in vivo, with low toxicity, proving its potential for photodynamic therapy and expanding MOF applications in biomedicine.
研究不足
The ligand exchange was only partially successful (around 20% replacement), and the method may not be fully optimized for higher substitution rates. The study is limited to specific cancer cell lines and animal models, and long-term toxicity or clinical applicability was not assessed.
1：Experimental Design and Method Selection:
The study involved synthesizing nanoscale NU-1000 MOF, followed by post-synthetic ligand exchange with TCPP in DMF solvent to form NT. PEG and folic acid were added for targeting. Methods included solvothermal synthesis, ligand exchange, and functionalization.
2：Sample Selection and Data Sources:
HeLa cancer cells and mouse models were used for in vitro and in vivo assessments. Samples included NU-1000, NT, and functionalized derivatives.
3：List of Experimental Equipment and Materials:
Equipment included SEM for imaging, PXRD for structural analysis, UV-vis spectroscopy, DLS for size measurement, FT-IR spectroscopy, TGA for stability, and fluorescence microscopes. Materials included ZrOCl2, H4TBAPy, TCPP, DMF, BA, trifluoroacetic acid, ethanol, PEG, folic acid, DMSO, and various biochemical reagents for cell studies.
4：Experimental Procedures and Operational Workflow:
Synthesis of NU-1000 nanorods at 80-100°C, ligand exchange at 40°C for 12h, functionalization with PEG and FA, followed by characterization and biological testing including MTT assays, ROS detection, and in vivo tumor studies.
5：Data Analysis Methods:
Data were analyzed using software for spectroscopy and microscopy, with statistical methods for cell viability and tumor volume measurements.
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SEM
Imaging of nanoparticle morphology
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PXRD
Structural analysis of materials
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UV-vis Spectrometer
Absorption spectroscopy
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DLS
Size measurement of nanoparticles
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FT-IR Spectrometer
Infrared spectroscopy for chemical analysis
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TGA
Thermal stability analysis
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Fluorescence Microscope
Cell imaging and ROS detection
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Laser
650 nm
Irradiation for photodynamic therapy
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Gaussian09
Gaussian
Computational software for DFT calculations
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