Effect of process parameters and optimization of photocatalytic removal of lead from wastewater over Cu Zn oxide nanocomposite using response surface methodology

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. • Cu Zn oxide possesses suitable physicochemical properties for Pb 2+ removal from wastewater. • The RSM model is significant to describe the impact of the factors on the response. • The four factors significantly influence the Pb 2+ removal efficiency from the wastewater. • Pb 2+ removal efficiency of approximately 90 % was obtained at the optimum condition.

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Publication Details

Journal
Results in Chemistry
Published
2025-04-09
DOI
https://doi.org/10.1016/j.rechem.2025.102255
Citations
2
Primary Topic
Copper-based nanomaterials and applications
Type
article
Field-Weighted Citation Impact
1.04
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article

Effect of process parameters and optimization of photocatalytic removal of lead from wastewater over Cu Zn oxide nanocomposite using response surface methodology

Mohamed A. Abdel Ghany, May Ali Alsaffar, Hiba Abduladheem Shakir, Alyaa K. Mageed
2 citations
Results in Chemistry
Copper-based nanomaterials and applications
1.04
article

Effect of process parameters and optimization of photocatalytic removal of lead from wastewater over Cu Zn oxide nanocomposite using response surface methodology

Mohamed A. Abdel Ghany, May Ali Alsaffar, Hiba Abduladheem Shakir, Alyaa K. Mageed
article en
2 citations

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. • Cu Zn oxide possesses suitable physicochemical properties for Pb 2+ removal from wastewater. • The RSM model is significant to describe the impact of the factors on the response. • The four factors significantly influence the Pb 2+ removal efficiency from the wastewater. • Pb 2+ removal efficiency of approximately 90 % was obtained at the optimum condition.

Results in ChemistryVol. 15
University of Technology - Iraq (IQ)
Clean water and sanitation
Openalex Percentile: Top 26%
Copper-based nanomaterials and applications
1.04
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Effect of process parameters and optimization of photocatalytic removal of lead from wastewater over Cu Zn oxide nanocomposite using response surface methodology — Mohamed A. Abdel Ghany, May Ali Alsaffar, et al. · Results in Chemistry (2025) | TGRS Research Map | TGRS