Application and Modification of Bismuth Oxyhalide in Photocatalytic Degradation of Organic Wastewater
[Purposes]Bismuth halide oxide BiOX(X=Cl,Br,I)has become a highly promising material in the field of photocatalytic materials due to its unique layered structure and band gap width,demon-strating excellent activity and stability in photocatalytic reactions.Therefore,the modification of bismuth oxghalide to make it have higher photocatalytic performance has become a research hotspot in recent years.[Methods]This article provides an overview of the pollution status and main treatment methods of organic wastewater,especially the research status of photocatalytic degradation technology.Subse-quently,the application and modification measures of BiOX(X=Cl,Br,I)photocatalytic materials in the degradation of organic pollutants were reviewed.The modification measures mainly include metal dop-ing,heterostructure construction,and carbon material composite modification.[Findings]The methods of metal doping modification and heterojunction construction modification have been studied the most,with high efficiency in photocatalytic degradation of pollutants.The disadvantage is that the doped metal ions are difficult to recover and cause secondary pollution to the environment.There are problems that need to be solved in the construction of heterojunctions,such as reverse reactions,light shielding,and side reac-tions.Compared to the above two modification methods,using carbon material composite modification can improve the photocatalytic degradation efficiency by coupling adsorption and photocatalysis,and also reduce the cost of the catalyst.[Conclusions]By comparing these three modification methods,refer-ence is provided for the modification of bismuth oxghalide BiOX(X=Cl,Br,I)materials.Biochar is a low-cost,environmentally friendly,and sustainable carbon containing material.The use of biochar to modify catalysts provides a new solution to the urgent problems of organic dye pollution and antibiotic pollution in the environment.
NETL
NSTL
万方数据
维普
