期刊
ACS APPLIED MATERIALS & INTERFACES
卷 14, 期 9, 页码 11509-11516出版社
AMER CHEMICAL SOC
DOI: 10.1021/acsami.1c24934
关键词
carboxyl effect; oxygen vacancy; activation; photocatalysis; benzyl alcohol oxidation
资金
- Natural Science Foundation of Jiangsu Province Youth Fund [BK20210628]
- Scientific Research Foundation from Nanjing Forestry University
Oxygen vacancies can efficiently activate the photocatalytic oxidation of aromatic alcohol, but the activation mechanism between aromatic alcohol and oxygen vacancies is rarely studied. In this study, a ZnIn2S4/MIL-121 heterostructure with abundant surface uncoordinated carboxyl was designed for the oxidation of benzyl alcohol under visible light. The results showed that the activation of oxygen vacancies to benzyl alcohol was more effective than to oxygen. The conversion rate of benzyl alcohol was significantly improved when the activation occurred on benzyl alcohol instead of oxygen.
The oxygen vacancies could efficiently drive the photocatalytic oxidation of aromatic alcohol through the activation of reactants. However, the activation between aromatic alcohol and O-2 (oxidant) over oxygen vacancies is rarely studied. Herein, the ZnIn2S4/MIL-121 heterostructure with abundant surface uncoordinated carboxyl was rationally designed for benzyl alcohol (BA) oxidation under visible light. Oxygen vacancies on catalysts were self-induced after the surface complexation between the uncoordinated carboxyl and BA molecules. Based on the reaction results, it is concluded that the oxygen vacancy activation to BA is more effective than that to O2 for BA oxidation over ZnIn2S4/MIL-121 hybrids. Specifically, when the activation fully occurs on BA (reaction in N-2), an admirable conversion of 93.9% (corresponding production rate of benzaldehyde: 2348 mu mol.g(-1).h(-1)) is achieved, which is 3.4 times that of pure ZnIn2S4, whereas an inferior conversion of 45.9% is obtained in O-2 due to the competition effect between O-2 and BA for oxygen vacancies.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据