Optimization of photocatalytic degradation of rhodamine B dye using graphite carbon nitride nanocomposite in visible light and analyzing its experimental validation in kinetics under optimal conditions

Document Type : Research Article

Authors

1 Ph.D. student of Environmental pollution, Faculty of Environmental and Natural Resources, University of Birjand, Birjand, Iran

2 Associate Professor of Environmental Pollution, Environmental Sciences Research Institute, Shahid Beheshti University, 1983969411, Tehran, Iran

3 Associate Professor of Environmental, Faculty of Environmental and Natural Resources, University of Birjand, Birjand, Iran

Abstract

In this paper, graphite carbon nitride nanocomposite was synthesized by stabilization of graphitic carbon nitride nanoparticles during the hydrothermal process onto periodic mesoporous organosilica based, and its efficiency was studied in photocatalytic degradation of rhodamine B in LED photoreactor using optimizing the parameters affecting the process in response surface methodology by Box-Benken method in three variables, time (10-50 min), photocatalyst dosage (0.3-0.7 g/l) and light wavelength (472-618 nm). The accuracy and validity of the quadratic model were confirmed with a high F-value, the significance of p-value (less than 0.0001), a small percentage of coefficient of variation, high correlation coefficients (0.98), non-significance of lack of fit and lack of autocorrelation based on D-W test results. The highest efficiency of photocatalytic degradation was observed in the wavelength variable and the wavelength-dose interactive variable. The optimal conditions in this analysis were defined as the time of 50 minutes, dose of nanocomposite 0.7 g/L, and wavelength 472 nm. The predicted mean value of photocatalytic degradation based on this model was 92.2% and its experimental value in validation kinetics under optimal conditions was 90.04%. The difference between the predicted mean value and experimental value in photocatalytic is within the prediction interval of 95% and finally, the model was approved.

Keywords

Main Subjects

References

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Amirkabir Journal of Civil Engineering
Volume 54, Issue 11
February 2023
Pages 4397-4416

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