Effect of process parameters and optimization of photocatalytic removal of lead from wastewater over Cu Zn oxide nanocomposite using response surface methodology
Year: 2025
Type: article
Abstract: One major environmental challenge is effectively removing heavy metals from wastewater. This study investigates the application of Cu Zn oxide nanocomposite as photocatalyst for the removal of lead ion (Pb 2+ ) from simulated wastewater. The influence of parameters such as pH, initial ion concentration of Pb 2+ , dosage of catalyst, and distance from the light source was evaluated to ascertain how Pb 2+ removal would be most successful. Central Composite Design (CCD) and Response Surface Methodology (RSM) were employed for experimental design and optimization studies. With pH and Pb 2+ initial concentration being the most significant variables, the results showed that all parameters significantly affected the photocatalytic Pb 2+ removal process. Notable interaction effects were found among several combinations of factors, hence stressing the complex character of the photocatalytic process. The optimal conditions for maximum lead removal were found by means of process parameters optimization. Under ideal conditions, the model fairly projected a removal effectiveness of approximately 90 %. The study underlines the requirement of enhancing process parameters to boost photocatalytic performance and shows the capacity of Cu Zn oxide nanocomposites in effectively eliminating Pb 2+ . This work presents fresh understanding of Pb 2+ removal and suggests a strict analytical approach to enhance complex environmental processes. Targeting a significant environmental concern, the outcomes improve the advancement of efficient and long-lasting wastewater treatment technologies.
Source: Results in Chemistry
Institution: University of Technology - Iraq
Language: English
Subfield: Water Science and Technology
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,870
OpenAlex ID: W4409258467