Degradation of Veterinary Antibiotics From Slaughterhouse Wastewater Using Titanium Dioxide as a Catalyst

Abstract

Antibiotics (ABs) and other pharmaceuticals are designed to be effectively bioactive against certain human and animal pathogens. It has been confirmed that some of these compounds are metabolized in animals by up to 90% or more, while others are metabolized by 10% or less. The residues find their way into the environment. Titanium dioxide (TiO2) has been extensively applied as a catalyst under UV/solar irradiation to degrade antibiotics due to the advantages it offers. The study presented here evaluated the use of TiO2 as a catalyst for the degradation of three antibiotics; namely; ciprofloxacin, enrofloxacin and sulfamethazine. Response surface methodology was used for the optimisation and modelling of independent variables, namely TiO2 dosage, antibiotics concentration and pH, based on the Box-Behnken (BB) experimental design. Photodegradation of three veterinary antibiotics was shown to be effective using TiO2 as a catalyst. The degradation of antibiotics depended on the chosen variables. The results from the experiment were fitted into the polynomial equation which was used to further elaborate optimisation. The value of determination of coefficient R 2 were above 0.9 for R1 and R2 and above 0.6 for R3, thus verifying the model fitting. Finally, the optimum conditions for the degradation of the selected antibiotics were obtained which were R1; pH (3-5), antibiotics concentration (10-25 mg/L). R2; pH (3-4) and antibiotics concentration (30-50 mg/L) and finally R3; pH (10) and antibiotics concentration of 15 mg/L.

Dataset on photocatalytic degradation of Levofloxacin using hydroxyapatite photocatalyst: Optimization by response surface methodology

“…The generated regression equation representing the photodegradation efficiency of levofloxacin is given in Equation 1 . The coefficients of determination (R 2 ) and adjusted R 2 are satisfactory to support the significance of the model [2] . Normal probability plot of standardized residuals and predicted vs actual plot is shown in Fig.…”