研究目的
Investigating the enhancement of photocatalytic and photovoltaic applications through doping of rare earth metal erbium (Er) into nanocrystalline titanium dioxide (TiO2).
研究成果
Erbium doping into TiO2 nanoparticles enhances photocatalytic and photovoltaic performance due to reduced charge recombination, increased dye absorption ability, and fast photoelectron injection. The study demonstrates the potential of Er-doped TiO2 in improving the efficiency of solar cells and photocatalytic degradation of organic pollutants.
研究不足
The study focuses on low concentrations of Er doping (up to 1.5%) and its effects on TiO2 properties. Higher doping concentrations and their effects were not explored. The photocatalytic and photovoltaic performance under different environmental conditions was not investigated.
1：Experimental Design and Method Selection
The study employed sol–gel method for the preparation of TiO2 nanoparticles (TNPs) and Er3+@TNPs. The structural, morphological, and optical properties were characterized using XRD, FTIR, SEM, AFM, TEM, fluorescence spectroscopy, and UV-DRS techniques.
2：Sample Selection and Data Sources
Samples included TNPs and Er3+@TNPs with different concentrations of erbium. Photocatalytic activity was examined through UV–visible spectrophotometer using methylene blue (MB) dye under visible lighting.
3：List of Experimental Equipment and Materials
Equipment used included X-ray powder diffractometer (X’ pert PRO-Analytical, Philips), scanning electron microscope (SEM: JEOL JSM 6610LV), atomic force microscope (AFM-AGILENT-N 9410A-5500), transmission electron microscopy (TEM CM-200), Fourier infrared spectroscopy (Avatar 330 series FTIR), and ultraviolet diffuse reflectance spectroscopy (Varian/carry 5000).
4：Experimental Procedures and Operational Workflow
The sol–gel method was used for preparation, followed by drying and heat treatment. Photocatalytic activity measurements were performed under visible light irradiation, and DSSCs were fabricated using doctor-blade technique.
5：Data Analysis Methods
Data analysis included XRD pattern analysis, FTIR spectral analysis, SEM and TEM image analysis, UV-DRS analysis for band gap calculation, and photocatalytic degradation rate calculation.
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