five

Highly Dispersed Pd-SBA15 Materials from Tris(tert-butoxy)siloxy Complexes of Pd(II)

收藏
Figshare2016-02-22 更新2026-04-29 收录
下载链接:
https://figshare.com/articles/dataset/Highly_Dispersed_Pd_SBA15_Materials_from_Tris_i_tert_i_butoxy_siloxy_Complexes_of_Pd_II_/2604952
下载链接
链接失效反馈
官方服务:
资源简介:
Two novel tris(tert-butoxy)siloxy palladium(II) complexes of the form (4,4′-di-tert-butyl-2,2′-bipyridyl)Pd[OSi(OtBu)3](R) were synthesized (1, R = OSi(OtBu)3 and 2, R = CH3). The structures of these compounds were determined by multinuclear NMR spectroscopy and single crystal X-ray diffraction. The solid-state thermolytic chemistry of 1 and 2 was studied by thermogravimetric analysis (TGA) and differential scanning calorimetry (DSC). These compounds were covalently grafted onto the surface of mesoporous silica (SBA15) under mild, nonaqueous conditions to generate supported Pd(II) centers. Reactions of 1 and 2 with the surface Si–OH groups occurs selectively through the -OSi(OtBu)3 ligand with elimination of HOSi(OtBu)3. The new materials, designated Pd(1)SBA15 and Pd(2)SBA15, were characterized using N2 porosimetry, TGA, powder X-ray diffraction (PXRD), X-ray absorption spectroscopy (XAS), and transmission electron microscopy (TEM). The coordination environments of the supported Pd centers were investigated using Fourier-transform infrared (FTIR) spectroscopy, diffuse reflectance UV–vis (DRUV–vis) spectroscopy, and XAS. Comparison with the molecular precursors 1 and 2 revealed that the supported Pd centers share many of the same structural and spectroscopic characteristics. The supported Pd centers were robust in inert atmosphere up to the decomposition temperatures of 1 and 2 (150–200 °C). The catalytic behavior of the PdSBA15 materials in the semihydrogenation of 1-phenyl-1-propyne was studied and compared to that of 1 and 2 in solution; the supported materials exhibited marked enhancements in stability and selectivity to (Z)-1-phenyl-1-propene.
创建时间:
2016-02-22
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作