Optimization and modeling of photocatalytic degradation of Direct Blue 71 from contaminated water by TiO2 nanoparticles: Response surface methodology approach (RSM)

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  • Mohamadreza Massoudinejad1,
  • Mohsen Sadani1,
  • Zeinab Gholami2,
  • Zeinab Rahmati3,
  • Masoume Javaheri3,
  • Hassan Keramati4,
  • Mansour Sarafraz5,
  • Moayed Avazpour*3,
  • Sabah Shiri6,
  1. School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  2. Student Research Committee, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
  3. Department of Environmental Health Engineering, School of Public Health, Ilam University of Medical Science, Ilam, Iran.
  4. Department of Environmental Health Engineering, School of Public Health, Semnan University of Medical Sciences, Semnan, Iran.
  5. Student Research Committee, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  6. Department of Chemistry. Payame Noor University. P.O. Box 19395-4697, Tehran, Iran.

Published in Issue 2024-02-03

How to Cite

Massoudinejad, M., Sadani, M., Gholami, Z., Rahmati, Z., Javaheri, M., Keramati, H., Sarafraz, M., Avazpour, M., & Shiri, S. (2024). Optimization and modeling of photocatalytic degradation of Direct Blue 71 from contaminated water by TiO2 nanoparticles: Response surface methodology approach (RSM). Iranian Journal of Catalysis, 9(2). https://oiccpress.com/ijc/article/view/4038

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Abstract

In the current survey, the removal of dye from contaminated water was studied by photocatalytic degradation using TiO2 nanoparticles with respect to pH, TiO2 dosage, reaction time, temperature and initial dye concentration. TiO2 nanoparticles were investigated by XRD, FESEM and FT-IR.The RSM was chosen to study the composition effects of input independent factors and one dependent output response (removal efficiency). The P-value (2.2 Ã 10â16), F-value (1832), R2 (multiple R-squared: 0.9985, adjusted R-squared: 0.9972), and lack of fit (0.432) indicate that the reduced full second order model is highly significant for dye removal by TiO2 nanoparticles.The maximum percentage removal of dye, 90.2%, was achieved at optimum operating conditions including pH=6.5, TiO2 dose (1.2 g L-1), contact time (67.5 min), temperature ( ), and dye concentrations (55 mg L-1)), respectively.The maximum removal efficiency was calculated to be 100%, using regression coefficients derived from the model and the Solver âAdd-insâ.The results indicated that the TiO2 photocatalyst was very proper for the removal dye from contaminated water, and it had good efficiency in eliminating textile dyes.

Keywords

  • TiO2,
  • Photocatalyst,
  • Degradation,
  • Direct blue 71,
  • Optimization,
  • RSM
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