研究目的
To measure the axial (Z-direction) probe beam profile in confocal Raman microscopy depth-profiling experiments using single layer graphene (SLG) and to estimate the axial spatial resolution for studies of polymer interfaces.
研究成果
The study demonstrated that SLG is a sensitive platform for measuring the axial probe volume detection efficiency profile in confocal Raman microscopy. The derived beam profile enables estimation of the limiting Z-direction spatial resolution for depth-profiling experiments. The method was successfully applied to study polymer interfaces and bipolar membranes, showing potential for guiding the design of next-generation membranes.
研究不足
The study is limited by the technical constraints of confocal Raman microscopy, including refraction, spherical aberration, and stray scattering through the probe volume, which can degrade spatial resolution. Additionally, the method requires careful alignment and calibration to achieve accurate depth profiling.
1:Experimental Design and Method Selection:
The study adapted SLG for measurement of the axial probe beam profile in confocal Raman microscopy. Axial profiles were derived from the graphene 2D vibrational mode and fit to a Lorentzian instrument response function (IRF).
2:Sample Selection and Data Sources:
SLG was transferred onto a glass cover slip and a Nafion membrane. Bipolar membranes and a PDMS membrane were also used.
3:List of Experimental Equipment and Materials:
A confocal Raman microscope with a Kr+ laser, a Nikon TE 200 inverted microscope, a 100×, 1.4 NA oil immersion objective, and a charge-coupled device (CCD) camera were used.
4:4 NA oil immersion objective, and a charge-coupled device (CCD) camera were used.
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: Raman spectra were recorded by averaging multiple spectra collected at different exposure periods. Data were processed using custom scripts in Matlab.
5:Data Analysis Methods:
Lorentzian peak fitting was performed using OriginPro. Convolution calculations and spatial profile fitting were carried out using Microsoft Excel. Self-modeling curve resolution (SMCR) was applied to spectral datasets.
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