five

Molybdenum Complex with Bulky Chelates as a Functional Model for Molybdenum Oxidases

收藏
Figshare2016-02-16 更新2026-04-29 收录
下载链接:
https://figshare.com/articles/dataset/Molybdenum_Complex_with_Bulky_Chelates_as_a_Functional_Model_for_Molybdenum_Oxidases/2230552
下载链接
链接失效反馈
官方服务:
资源简介:
The novel bulky Schiff base chelate ligand [(4,5-diisopropyl-1H-pyrrole-2-yl)­methylene]-4-(tert-butyl)­aniline (iPr2HL) bearing two isopropyl groups close to the pyrrole nitrogen atom reacts with MoCl2(dme)­O2 (dme = 1,2-dimethoxyethane) to give the sterically congested complex MoVI(iPr2L)2O2 (iPr21; OC-6–4–4 configuration). In spite of the increased steric shielding of the [MoO2] unit iPr21 is active in oxygen-atom transfer to PMe3 and PPh3 to give OPMe3 and OPPh3, respectively. Because of the increased steric bulk of the chelate ligand, formation of dinuclear complexes [MoV(iPr2L)2O]2(μ-O) (iPr23) by comportionation is effectively prevented in contrast to the highly favored formation of [MoV(H2L)2O]2(μ-O) (H23) with the less bulky ligand H2HL. Instead, the smaller PMe3 ligand coordinates to the resulting pentacoordinate intermediate MoIV(iPr2L)2O (iPr25), giving the hexacoordinate complex MoIV(iPr2L)2O­(PMe3) (iPr22) with OC-6–3–3 configuration. The larger potential ligands PPh3 and OPPh3 are only able to weakly coordinate to iPr25, giving labile and sensitive MoIV(iPr2L)2O­(L) complexes (iPr26, L = PPh3; iPr27, L = OPPh3). Traces of water and dioxygen in solutions of iPr26/iPr27 yield the di­(μ-oxido) complex [MoV(iPr2L)­O]2(μ-O)2 (iPr24) with reduced steric congestion due to dissociation of the bulky chelate ligands. According to electron paramagnetic resonance studies, the much more strongly bound small PMe3 ligand in iPr22 can be slowly liberated by one-electron oxidation to MoV, with Ag+ leaving a free coordination site at MoV. Hence, essentially pentacoordinate MoIV and MoV complexes are accessible as a result of the increased steric bulk.
创建时间:
2016-02-16
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