科研成果
硕士生张维东的论文在APPLIED SURFACE SCIENCE刊出
发布时间:2018-04-17 09:57:37     发布者:yz     浏览次数:

标题:Surface-complexation synthesis of silica-supported high-loading well-dispersed reducible nano-Co3O4 catalysts using Co-III ammine hydroxo complexes

作者: Zhang, WD (Zhang, Weidong); Pan, F (Pan, Feng); Li, JJ (Li, Jinjun); Wang, Z (Wang, Zhen); Ding, W (Ding, Wei); Qin, Y (Qin, Yi); Wu, F (Wu, Feng)

来源出版物:APPLIED SURFACE SCIENCE  卷:44 页码:83-91  DOI 10.1016/j.apsusc.2018.02.094      出版年: JUN 1 2018 

摘要:Silica-supported highly dispersed cobalt oxides prepared by adsorption are likely to be poorly reducible Co-phyllosilicates or CoO species. Here we report the synthesis of silica-supported monodispersed spinel nano-Co3O4 catalysts by inner-sphere complexation using Co-III ammine hydroxo complexes as precursors. The precursors were facilely prepared by stirring ammoniacal Co-II solutions exposed to air. The cobalt loadings (up to 188 mg/g) and particle sizes (3-10 nm) were tailored by successive complexation-calcination cycles. Such catalysts showed significantly superior reducibility and catalytic activity in complete propane oxidation in comparison to supported Co-phyllosilicates and CoO. A further development of this synthesis process may provide a variety of cobalt-based catalysts for important catalytic applications. 

入藏号:WOS:000428294500011

文献类型:Article

语种:English

作者关键词:Cobalt oxide; Silica; Nanoparticle; Cobalt ammine complex; Catalytic oxidation; Volatile organic compounds

扩展关键词: FISCHER-TROPSCH SYNTHESIS; COBALT OXIDE CATALYSTS; ELECTROSTATIC ADSORPTION; CARBON-MONOXIDE; TOTAL OXIDATION; NANOPARTICLES; WATER; HYDROGENATION; BENZENE; OXYGEN

通讯作者地址:Li, JJ; Wu, F (reprint author), Wuhan Univ, Hubei Key Lab Biomass Resources, Sch Resources & Environm Sci, Wuhan 430079, Hubei, Peoples R China.

电子邮件地址:lijinjun@whu.edu.cn; Fengwu@whu.edu.cn

地址:[Zhang, Weidong; Pan, Feng; Li, Jinjun; Wang, Zhen; Ding, Wei; Qin, Yi; Wu, Feng] Wuhan Univ, Hubei Key Lab Biomass Resources, Sch Resources & Environm Sci, Wuhan 430079, Hubei, Peoples R China.

影响因子:3.387


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