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[Pd(η2-methyl (4-nitrophenyl)propynoate)(neocuproine)] | 1047665-11-1

中文名称
——
中文别名
——
英文名称
[Pd(η2-methyl (4-nitrophenyl)propynoate)(neocuproine)]
英文别名
[Pd(η2-pna)(neoc)]
[Pd(η2-methyl (4-nitrophenyl)propynoate)(neocuproine)]化学式
CAS
1047665-11-1
化学式
C24H19N3O4Pd
mdl
——
分子量
519.853
InChiKey
TVOCATAIQTYVGA-UHFFFAOYSA-N
BEILSTEIN
——
EINECS
——
  • 物化性质
  • 计算性质
  • ADMET
  • 安全信息
  • SDS
  • 制备方法与用途
  • 上下游信息
  • 反应信息
  • 文献信息
  • 表征谱图
  • 同类化合物
  • 相关功能分类
  • 相关结构分类

计算性质

  • 辛醇/水分配系数(LogP):
    None
  • 重原子数:
    None
  • 可旋转键数:
    None
  • 环数:
    None
  • sp3杂化的碳原子比例:
    None
  • 拓扑面积:
    None
  • 氢给体数:
    None
  • 氢受体数:
    None

反应信息

  • 作为产物:
    描述:
    [Pd(dimethyl fumarate)(2,9-dimethyl-1,10-phenanthroline)] 、 methyl 3-(4-nitrophenyl)-2-propynoate氯仿 为溶剂, 生成 [Pd(η2-methyl (4-nitrophenyl)propynoate)(neocuproine)]
    参考文献:
    名称:
    Mechanistic and Kinetic Investigation on the Formation of Palladacyclopentadiene Complexes. A Novel Interpretation Involving a Bimolecular Self-Reaction of a Monoalkyne Intermediate
    摘要:
    The stoichiometric reaction between the complex [Pd(eta(2)-dmfu)(BiPy)] (dmfu = dimethylfumarate; BiPy = 2,2'-bipyridine) and the deactivated alkynes dmbd (dimethyl-2-butynedioate) and pna (methyl (4-nitrophenyl)propynoate), providing the respective palladacyclopentadienes, was investigated. The mechanism leading to the palladacyclopentadiene derivative involves a bimolecular self-rearrangement of the monoalkyne intermediate [Pd(eta(2)-alk)(BiPy)] (alk = dmbd, pna), followed by the customary attack of the free alkyne on the intermediate [Pd(eta(2)-alk)(BiPy)] itself and on the elusive and highly reactive "naked palladium" [Pd(BiPy)(0)] formed. The alkyne pna proved to be less effective in the displacement of dmfu than dmbd. The reaction under stoichiometric equimolar conditions of the latter with [Pd(eta(2)-dmfu)(BiPy)] allows the direct determination of the bimolecular self-reaction rate constant k(c) and consequently the assessment of all the rate constants involved in the overall mechanistic network.
    DOI:
    10.1021/om8002398
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