| Title |
Zirconium Metal–Organic Frameworks Assembled from Pd and Pt PNNNP Pincer Complexes: Synthesis, Postsynthetic Modification, and Lewis Acid Catalysis
|
|---|---|
| Published in |
Inorganic Chemistry, February 2018
|
| DOI | 10.1021/acs.inorgchem.7b03063 |
| Pubmed ID | |
| Authors |
Benjamin R. Reiner, Neil T. Mucha, Anna Rothstein, J. Sebastian Temme, Pu Duan, Klaus Schmidt-Rohr, Bruce M. Foxman, Casey R. Wade |
| Abstract |
Carboxylic acid-functionalized Pd and Pt PNNNP pincer complexes were used for the assembly of two porous Zr metal-organic frameworks (MOFs), 2-PdX and 2-PtX. Powder X-ray diffraction analysis shows that the new MOFs adopt cubic framework structures similar to the previously reported Zr6O4(OH)4[(POCOP)PdX]3, [POCOP = 2,6-(OPAr2)2C6H3); Ar = p-C6H4CO2-, X = Cl-, I-] (1-PdX). Elemental analysis and spectroscopic characterization indicate the presence of missing linker defects, and 2-PdX and 2-PtX were formulated as Zr6O4(OH)4(OAc)2.4[M(PNNNP)X]2.4[M = Pd, Pt; PNNNP = 2,6-(HNPAr2)2C5H3N; Ar = p-C6H4CO2-; X = Cl-, I-]. Postsynthetic halide ligand exchange reactions were carried out by treating 2-PdX with Ag(O3SCF3) or NaI followed by PhI(O2CCF3)2. The latter strategy proved to be more effective at activating the MOF for the catalytic intramolecular hydroamination of an o-substituted alkynyl aniline, underscoring the advantage of using halide exchange reagents that produce soluble byproducts. |
Login to access the Attention Digest and the Sentiment Analysis related to this output.
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 80% |
| Thailand | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 100% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 21% |
| Researcher | 7 | 13% |
| Student > Master | 6 | 11% |
| Professor > Associate Professor | 5 | 9% |
| Other | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 16 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 34 | 64% |
| Agricultural and Biological Sciences | 1 | 2% |
| Engineering | 1 | 2% |
| Unknown | 17 | 32% |