研究目的
To investigate the use of TiO2 immobilized on SiO2 (TiO2-SiO2) in a photocatalytic process to degrade toxic industrial waste, phenol, linear alkylbenzene sulfonate (LAS), and Cr(VI).
研究成果
TiO2-SiO2 is effective for degrading phenol and LAS in photocatalytic processes, with degradation rates of 50% for single compounds and 12% for mixtures after 8 hours, but it is ineffective for Cr(VI) reduction. The study highlights the potential for immobilized catalysts in wastewater treatment but notes the need for additional research on metal degradation.
研究不足
TiO2-SiO2 did not reduce Cr(VI), indicating limitations in metal reduction capability. The catalyst's efficiency may be affected by sample concentration and mixture complexity, requiring further optimization and research on other metals.
1：Experimental Design and Method Selection:
The study designed a batch photocatalytic reactor with UV lamps to test the degradation efficiency of TiO2-SiO2 catalysts compared to pure TiO2 and SiO
2：The slurry precipitation/dip coating method was used for catalyst immobilization, and photocatalytic processes were conducted for up to 8 hours. Sample Selection and Data Sources:
Samples included phenol, LAS, and Cr(VI) at concentrations of 100 mg/L, prepared as single compounds or mixtures. All materials were derived from Merck.
3：List of Experimental Equipment and Materials:
Equipment included an X-ray diffractometer (XRD) PANalytical, scanning electron microscope (SEM), double beam spectrophotometer UV-Vis Ultrospec 3000, and a custom-built photocatalytic reactor with quartz tube, UV lamps, magnetic stirrer, and blower. Materials included TiO2 Degussa P25, silica gel 60, and various chemicals for measurements.
4：Experimental Procedures and Operational Workflow:
Catalysts were prepared by sonicating TiO2 and SiO2 mixtures, heating, calcining at 500°C, and washing. Activity tests involved degrading samples under UV light with stirring, measuring concentrations hourly using standard methods.
5：Data Analysis Methods:
Data were analyzed using t-tests for significance, and parameters like limit of detection, precision, accuracy, and linearity were verified.
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