ABSTRACT
Photocatalytic degradation, as an advanced oxidation process (AOPs), offers a great advantage to target persistent organic pollutants (POPs) in water. RSM in the present study which is statistical means for optimizing processes like photocatalysis with minimum laboratory experimentation. RSM has a history of being a potent design experiment tool for creating new processes, modifying their designs, and optimizing their performances. Herein, a highly sought-after, easily preparable, visible-light active, copper bismuth oxide (CuBi2O4) is applied against a toxic emerging contaminant, 2,4-dichlorophenol (2,4-DCP) under an LED light source (viible light λ > 420 nm). A simple coprecipitation method was adopted to synthesize CuBi2O4 and later analyzed with FESEM, EDX, XRD, FTIR, and spectroscopy to determine its intrinsic properties. Principally, the photocatalytic degradation investigations were based on response surface methodology (RSM), which is a commanding tool in the optimization of the processes. The 2,4-DCP concentration (pollutant loading), CuBi2O4 dosage (catalyst dosge), contact time, and pH were the chosen as dependent factors, that were optimized. However, under optimal conditions, the CuBi2O4 nanoparticle showed a remarkable photocatalytic performance of 91.6% at pH = 11.0 with a pollutant concentration of 0.5 mg/L and a catalyst dose of 5 mg/L within 8 h. The obtained RSM model showed a satisfactory correlation between experimental and predicted values of 2,4-DCP removal, with an agreeable probability value (p) of 0.0069 and coefficient of regression (R2) of 0.990. It is therefore anticipated that the study may open up new possibilities for formulating a plan to specifically target these organic pollutants. In addition, CuBi2O4 possessed fair reusability for three-consequent cycles. Hence, the as-synthesized nanoparticles applied for photocatalysis foster a fit-for-purpose and reliable system in the decontamination of 2,4 DCP in environmental samples, and also the study highlights the efficient use of RSM for environmental remediation, particularly in AOP implementation.
Subject(s)
Chlorophenols , Environmental Pollutants , Water , Chlorophenols/chemistry , Phenols/chemistry , CatalysisABSTRACT
Emerging contaminants are posing a new water quality challenge, worldwide. The majority of pharmaceutical and personal care products used by us have been regarded as emerging contaminants. Benzophenone is one such chemical found in personal care products, specially in sunscreen creams as an UV-filter. Copper tungstate/nickel oxide (CuWO4/NiO) nanocomposite with visible (LED) light irradiation has been investigated in degradation of benzophenone, in the present study. The co-precipitation approach was used to produce the aforementioned nanocomposite. XRD, FTIR, FESEM, EDX, Zeta potential, and UV-Vis spectroscopy illustrated the structure, morphology, and other catalytic features. Response surface methodology (RSM) was used to optimize and simulate the photodegradation of benzophenone. Herein, catalyst dose, pH, initial pollutant concentration, and contact time were considered as the independent factor in the design of experiment (DoE) using RSM with percentage degradation as the dependent factor or as a response. The CuWO4/NiO nanocomposite demonstrated high photocatalytic performance of 91.93% at pH = 11 with a pollutant concentration of 0.5 mg/L and a catalyst dose of 5 mg within 8 h under ideal circumstances. The RSM model was determined to be the most convincible with an R2 value of 0.99 and a probability value (P-value) of 0.0033, respectively, with a agreeable projected and actual values. As a result, it is envisioned that this study may provide new avenue for developing a strategy to target such emerging contaminants.