Ability of Response Surface Methodology to Optimize Photocatalytic Degradation of Amoxicillin from Aqueous Solutions Using Immobilized TiO2/Sand

• Autorzy: Sulaiman Fadia A. , Alwared Abeer I.

Identyfikatory

DOI

10.12911/22998993/147318

• Języki publikacji: EN

Abstrakty

EN

The response surface method was applied to optimize operational factors in the solar photocatalytic process on the removal of Amoxicillin (AMOX) residues from aqueous solution using TiO₂ immobilized on the sand as a catalyst. The results reveal that the degradation percentage of AMOX is 93.12%, when optimal conditions of pH=5, 75 mg/l of TiO₂, 400 mg/l of H₂O₂, and 10 mg/l of AMOX concentration at 150 min irradiation time were used. Furthermore, the model’s expected response results have reasonable similarity with the actual data (R² = 93.58%), demonstrating the efficiency of this method in making an accurate prediction. A second-order polynomial multiple regression model was used to evaluate the responses, which confirms that was a satisfactory adjustment with the achieved data through analysis of variance (R² = 93.58%, R²_adj = 91.48% and R²_pred =89.68%). In addition, it is observed that the removal of undesirable compounds follows a pseudo-2^nd order kinetic model with R² = 0.9862. In conclusion, with the ease of usage of immobilized TiO₂ and good photocatalytic efficiency, the findings showed the potential application to the antibiotics from an aqueous solution.

Słowa kluczowe

EN

amoxicillin; solar photocatalyst; immobilized TiO2; sand; RSM; response surface methodology; kinetics

• Wydawca: Polskie Towarzystwo Inżynierii Ekologicznej ; Lublin University of Technology
• Czasopismo: Journal of Ecological Engineering
• Rocznik: 2022
• Tom: Vol. 23, nr 5
• Strony: 293--304
• Opis fizyczny: Bibliogr. 34 poz., rys., tab.

Twórcy

autor

Sulaiman Fadia A.

• Water Resource Technical, Al-Hawija Technical Institute, Iraq

autor

Alwared Abeer I.

• Department of Environmental Engineering/ College of Engineering, University of Baghdad, Iraq

• https://orcid.org/0000-0001-8777-5674

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