研究目的
To develop an interference-free SERS-active nanoprobe for highly reliable detection, imaging, and monitoring of reactive oxygen species (ROS) at subcellular organelles, specifically mitochondria, during photothermal therapy (PTT).
研究成果
The developed interference-free SERS nanoprobe enables sensitive and reliable detection and monitoring of ROS in mitochondria during PTT, demonstrating its potential for understanding ROS roles in therapeutic processes and for broader applications in subcellular biosensing without background interference.
研究不足
The study may have limitations in absolute quantification of ROS due to variability in internalized particle numbers. The homogeneity and dispersibility of nanoparticles with thicker Ag shells (e.g., 6 nm) are poor, which could affect reproducibility. The cytotoxicity of nanoprobes at higher concentrations reduces cell viability, and the method is specific to certain ROS types like H2O2.
1:Experimental Design and Method Selection:
The study uses a SERS-based 'turn-off' mechanism where ROS etches the Ag shell of Au@Ag core-shell nanoparticles, reducing SERS intensity. The nanoprobe is designed with a mitochondria-targeting peptide for specific organelle targeting.
2:Sample Selection and Data Sources:
MCF-7 cells are used as the biological sample, cultured in DMEM medium with fetal bovine serum.
3:List of Experimental Equipment and Materials:
Includes AuNPs, AgNO3, ascorbic acid, 4-mercaptobenzonitrile (MBN), mitochondria-targeting peptide (MLS), H2O2, PMA, AuNRs, confocal fluorescence microscope (FV1000, Olympus), Raman spectrometer (LabRAM ARAMIS, HORIBA Jobin Yvon), TEM, UV-vis spectroscopy, and other chemicals.
4:Experimental Procedures and Operational Workflow:
Synthesis of Au@Ag NPs with varying Ag shell thicknesses, modification with MBN and MLS, in vitro ROS sensing with H2O2, cell culture and treatment, SERS measurements, and imaging during PTT with laser irradiation.
5:Data Analysis Methods:
SERS spectra analysis, intensity measurements at 2226 cm-1, statistical averaging from multiple cells and locations, and validation with fluorescence imaging using DCFH-DA.
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