synthesis and characterization of g-cn/rgo photocatalyst for waste water ciprofloxacin;generalized regression neural network and surface response methodology study

In this study, a nanocomposite photocatalyst called graphitic carbon nitride-reduced graphene oxide (g-cn/rgo) was synthesized, characterized and applied for the photocatalytic degradation of ciprofloxacin (cp), which serves as a representative contaminant, under visible light illumination [1]. the experiment considered different conditions such as initial cp concentration, irradiation time, photocatalyst dose, and ph [2]. the obtained results were then modeled using response surface methodology (rsm) and generalized regression neural network (grnn) approaches to provide a more accurate description of the process behavior. to verify the main active species, free radical trapping experiments were conducted. additionally, the lc-mass technique was utilized to detect the intermediates formed during the photodegradation process. when comparing the photocatalytic performance of g-cn/rgo with other recently developed counterparts, it becomes evident that it holds promise as an alternative for remediating these types of pollutants in water bodies. the excellent performance of the g-cn/rgo photocatalyst suggests its potential for large-scale photodegradation of persistent organic pollutants in wastewater treatment plants [3].