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The main causes of water contamination nowadays are the expanding population and industrialization. According to one study, the biggest factor contaminating surface and ground water in our nation is untreated sewage water. In the present study SiO2 nanoparticles were produced without use of surfactant and calcined at different temperatures like 600 and 800 °C. The adsorption efficiency of the synthesized nanoparticles has been tested for the COD reduction of sewage. The nanoparticles are characterized by FTIR, SEM, XRD, and Zeta potential, and the surface area is analysed. The characterization results revealed that spherical SiO2 nanoparticles were produced. The statistical Response Surface Methodology, Central composite design (CCD) is employed to analyse the combined effects of three operational parameters namely: contact time, sorbent dose, and starting sewage concentration on reduction of COD from the real polluted water samples by adsorption. The highest COD reduction is found to be 77.08% for a time of 4 h and a dose of 10 g/L of nanoparticles. A correlation coefficient (R2) value of 0.9173 predicted by ANOVA stated the suitable regression of the generated model.

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Silicon Dioxide Nano Adsorbent for Domestic Sewage Degradation: Statistical Analysis by Response Surface Methodology

  • 会议论文

  • 发表日期：

    2025年

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  • Archana Rao,
  • S. V. Satyanarayana,
  • U. Appala Naidu,
  • A. V. Raghavendra Rao,
  • Kundana Nakkala,
  • Harshitha Reddy

摘要

The main causes of water contamination nowadays are the expanding population and industrialization. According to one study, the biggest factor contaminating surface and ground water in our nation is untreated sewage water. In the present study SiO2 nanoparticles were produced without use of surfactant and calcined at different temperatures like 600 and 800 °C. The adsorption efficiency of the synthesized nanoparticles has been tested for the COD reduction of sewage. The nanoparticles are characterized by FTIR, SEM, XRD, and Zeta potential, and the surface area is analysed. The characterization results revealed that spherical SiO2 nanoparticles were produced. The statistical Response Surface Methodology, Central composite design (CCD) is employed to analyse the combined effects of three operational parameters namely: contact time, sorbent dose, and starting sewage concentration on reduction of COD from the real polluted water samples by adsorption. The highest COD reduction is found to be 77.08% for a time of 4 h and a dose of 10 g/L of nanoparticles. A correlation coefficient (R2) value of 0.9173 predicted by ANOVA stated the suitable regression of the generated model.