研究目的
To investigate the efficiency of photocatalytic degradation of recombinant DNA under visible light in Hepatitis B surface antigen production plant wastewater using Ag-doped TiO2 nanophotocatalyst.
研究成果
The study demonstrated the significant capability of Ag-doped TiO2 nanoparticles for the photocatalytic degradation of recombinant DNA under visible light. The optimal conditions for maximum degradation efficiency were identified as Ag content of 2.1 wt%, calcination temperature of 485 ?C, and heating rate of 8 ?C/min, achieving 80.7% degradation. The quadratic polynomial model developed showed good agreement with experimental data, indicating the effectiveness of the RSM approach in optimizing the photocatalytic process.
研究不足
The study focused on the photocatalytic degradation of naked rDNA under visible light, and the efficiency might vary with different types of genetic pollutants or under different light conditions. The optimization was specific to the conditions of the Hepatitis B surface antigen production plant wastewater.
1：Experimental Design and Method Selection:
The study used response surface methodology (RSM) to model and optimize the photocatalytic degradation of recombinant DNA. The synthesis parameters included dopant content, calcination temperature, and heating rate.
2：Sample Selection and Data Sources:
Wastewater samples were collected from the regeneration of the negative anionic exchange (NAE) chromatography in a Hepatitis B surface antigen production plant.
3：List of Experimental Equipment and Materials:
Ag-doped TiO2 nanoparticles were prepared using the sol-gel method. The photocatalytic experiments were performed in a slurry batch reactor under visible light irradiation.
4：Experimental Procedures and Operational Workflow:
The photocatalytic degradation experiments were conducted in an incubator-shaker to ensure continuous stirring. The effect of various parameters such as pH, catalyst dose, and synthesis conditions on rDNA degradation was investigated.
5：Data Analysis Methods:
Real-time quantitative PCR (qPCR) was used to quantify the rDNA concentration. The data were analyzed using Design Expert 10.0.1 software for RSM.
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