Issue 46, 2023, Issue in Progress

AgBr nanoparticle surface modified SnO2 enhanced visible light catalytic performance: characterization, mechanism and kinetics study

Abstract

In this study, a simple hydrothermal procedure and in situ precipitation method were used to prepare SnO2–AgBr composites, where the molar ratios of SnO2 and AgBr were 1 : 1, 1 : 2 and 2 : 1. Characterization results showed that the composites had excellent dispersion, crystallinity, and purity. A photocatalytic degradation experiment and first-order kinetic model indicate that SnO2–AgBr (1 : 1) had the best photocatalytic performance, and the degradation rates of 30 mg L−1 simulated MO and MG wastewater reached 96.71% and 93.36%, respectively, in 150 min, which were 3.5 times those of SnO2. The degradation rate of MO and MG increases with the dosage. Humic acid inhibited the degradation of MG, while a low concentration of humic acid promoted the degradation of MO, and the composite has good stability with pH. A free radical trapping experiment shows that ·OH and ·O2 were the main active substances, and h+ was the secondary one. According to the results of the characterization and photocatalysis experiments, a Z-scheme mechanism for the SnO2–AgBr composite was proposed, and the degradation pathway of target pollutants was speculated upon. This study has conceived novel methods for the development of a mature Z-scheme mechanism and in doing so has provided new approaches for the development of photocatalysis for water pollution control.

Graphical abstract: AgBr nanoparticle surface modified SnO2 enhanced visible light catalytic performance: characterization, mechanism and kinetics study

Article information

Article type
Paper
Submitted
23 Aug 2023
Accepted
23 Oct 2023
First published
03 Nov 2023
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2023,13, 32457-32472

AgBr nanoparticle surface modified SnO2 enhanced visible light catalytic performance: characterization, mechanism and kinetics study

H. Dai, X. Yang, W. Li and Y. Wang, RSC Adv., 2023, 13, 32457 DOI: 10.1039/D3RA05750J

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