Fabrication of a novel plasmonic Z-scheme AgCl/Ag/CdS photocatalyst for efficient removal of malachite green in seawater: Performance and mechanism exploration

Liu, Jize; Yang, Wenchao; Gao, Cong; Jin, Qingqing; Wang, Haoxiang; Liu, Tianqi; Han, Jianbo

doi:10.1016/j.jece.2024.113863

Journal of Environmental Chemical Engineering

2024

DOI: 10.1016/j.jece.2024.113863

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Fabrication of a novel plasmonic Z-scheme AgCl/Ag/CdS photocatalyst for efficient removal of malachite green in seawater: Performance and mechanism exploration

Jize Liu,

Wenchao Yang,

Cong Gao

et al.

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Synthesis and photocatalytic activity of Ag/AgCl for removal of BTX vapors under visible light: modeling by ANN

Nakhostin Panahi,

Fathi

2024

Phys. Scr.

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Among volatile organic compounds, benzene, toluene, and xylene (BTX) are the most harmful organic compounds and the removal of these harmful compounds is mandatory. In the current study, Ag/AgCl composite was successfully synthesized via deposition-precipitation along with the photoreduction method. The scanning electron microscopy, X-ray powder diffraction, photoluminescence spectroscopy, Fourier transform infrared spectra, and ultraviolet-visible diffuse reflectance spectroscopy were employed to characterize the synthesized products. The photocatalytic property of the products was investigated by evaluating on photodegradation of BTX vapors under the radiation of visible light. The results showed that Ag/AgCl exhibits enhanced visible-light photocatalytic activity compared with AgCl. The strong surface plasmon resonance of metal Ag nanoparticles anchored on the AgCl surface can be responsible for the enhanced visible-light photocatalytic activity of the Ag/AgCl. The influence of the basic operational parameters such as type of BTX, the concentration of BTX, photocatalyst shape, relative humidity, andradiation time on the removal efficiency of BTX was studied. The data obtained from removal tests were modeled by a three-layered feed-forward artificial neural network. The optimized ANN architecture was strong at predicting the removal efficiency of the BTX contaminants with R2> 0.99 and a very low mean square error. The sensitivity analysis using Garson’s method displayed that all explored process parameters influence the photocatalytic removal of the BTX contaminants. The obtained ANN model is used to predict the photodegradation of BTX at different conditions.

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Synthesis and photocatalytic activity of Ag/AgCl for removal of BTX vapors under visible light: modeling by ANN

Nakhostin Panahi,

Fathi

2024

Phys. Scr.

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Fabrication of a novel plasmonic Z-scheme AgCl/Ag/CdS photocatalyst for efficient removal of malachite green in seawater: Performance and mechanism exploration

Cited by 1 publication

References 81 publications

Synthesis and photocatalytic activity of Ag/AgCl for removal of BTX vapors under visible light: modeling by ANN

Synthesis and photocatalytic activity of Ag/AgCl for removal of BTX vapors under visible light: modeling by ANN

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