Photocatalytic degradation of indole in UV/TiO2: optimization and modelling using the response surface methodology (RSM)

Abstract

The aim of our research is to apply experimental design methodology to the optimization of photocatalytic degradation of indole present in wastewater. Heterogeneous photocatalysis for the oxidation of organic biorecalcitrant pollutants in water is an environmental promising method. We used the response surface methodology (RSM) for the modelization and optimization of the photodegradation of indole in the presence of titanium dioxide. The effect of indole concentration, UV intensity and stirring speed on the yield of indole degradation was determined. According to the mathematic optimization of the process, the optimum point when 100% of degradation is achieved is given by the following values: UV intensity = 250 W/m 2 , stirring speed = 536.36 tr/min and initial indole concentration = 10.10 mg/l.

Optimization of the Extraction Technology of Chlorogenic Acid in Honeysuckle Response Surface Method

“…Based on the single-factor-test, Box-Behnken design was used to evaluate and optimize the extraction variables (extraction temperature, ethanol concentration and soak time) for the extraction yield. The results showed that the variables (soak time and ethanol concentration) are significant and a high correlation of quadratic model obtained is satisfactory and accurate to predict the extraction yield, which was similarity to the reported [19] [20]. The optimized conditions are as follows: extraction temperature of 80˚C, ethanol concentration of 70%, and soak time of 9 h, under which the experimental yield is 1.911% (n = 3), which is agreed closely with the predicted yield of 1.929%.…”

Photocatalytic degradation using design of experiments: A review and example of the Congo red degradation

“…Merabet et al [33] implemented also CCD based on RSM for the modelization and optimization of the photodegradation of indole in the presence of TiO 2 . The CCD design matrix was built by the statistical combinations of the independent variables of UV irradiance, stirring speed, and indole concentration (20 experimental runs).…”

Photocatalytic oxidation of treated municipal wastewaters for the removal of phenolic compounds: optimization and modeling using response surface methodology (RSM) and artificial neural networks (ANNs)

“…20 where C 0 is the initial TPh concentration and C t the TPh concentration after treatment by photocatalysis.…”