2019
DOI: 10.1002/asia.201900391
|View full text |Cite
|
Sign up to set email alerts
|

Two‐Dimensional Metal‐Organic Layers for Electrochemical Acceptorless Dehydrogenation of N‐Heterocycles

Abstract: The catalytic acceptorless dehydrogenation (CAD) is an attractive synthetic route to unsaturated compounds because of its high atomice fficiency.H erew e report electrochemical acceptorless dehydrogenation of N-heterocycles to obtain quinoline or indole derivatives using metal-organic layer (MOL) catalyst. MOL is the twodimensional version of metal-organic frameworks (MOF), and it can be constructed on conductive multi-walled carbon nanotubes via facile solvothermal synthesis to overcome the conductivity const… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
17
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 22 publications
(17 citation statements)
references
References 68 publications
0
17
0
Order By: Relevance
“…2). As a start, the addition of organotrifluoroborate to 1 was induced by 0.5 h of blue LED irradiation, followed by the addition of TEMPO 26,[39][40][41][42] as redox catalyst and KPF 6 as supporting electrolyte. Electrolysis of the resultant reaction mixture at a constant current of 10 mA afforded the desired 3-alkylated acridinium product in good to excellent yields (73-97%) without the detection of any other regioisomers.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…2). As a start, the addition of organotrifluoroborate to 1 was induced by 0.5 h of blue LED irradiation, followed by the addition of TEMPO 26,[39][40][41][42] as redox catalyst and KPF 6 as supporting electrolyte. Electrolysis of the resultant reaction mixture at a constant current of 10 mA afforded the desired 3-alkylated acridinium product in good to excellent yields (73-97%) without the detection of any other regioisomers.…”
Section: Resultsmentioning
confidence: 99%
“…This method demonstrated excellent compatibility with primary (3-10), secondary (11)(12)(13)(14)(15)(16)(17)(18), and tertiary (19)(20)(21)(22) alkylorganotrifluoroborates, providing easy access to acridinium dyes with different steric properties. A highly useful feature of our method is that the monoalkylated product can be alkylated again following the above experimental procedures to furnish novel, 3,6-dialkylated acridinium dyes, using the same (28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40)(41)(42)(43)(44)(45) The alkylation reaction could be scaled up to decagram without difficulty by employing a continuous-flow photochemical reactor 45,46 and a electrochemical batch reactor, as demonstrated in the synthesis of 10.88 g of 36 in 80% yield (Fig. 4A).…”
Section: Resultsmentioning
confidence: 99%
“…Compared with vast reports of MOFs for electrocatalytic water splitting, ORR, and CO 2 RR applications, there are only several reports of MOFs in electro‐organic synthesis applications. [ 227,228 ] Much more studies are needed in this promising field.…”
Section: Mofs and Mof Derivatives For Electrocatalysismentioning
confidence: 99%
“…Yang et al fabricated a nanocomposite by decorating 2D ultrathin MOF nanosheets of Hf 6 (μ 3 ‐O) 4 (μ 3 ‐OH) 4 (μ 1 ‐OH) 2 (μ 1 ‐OH 2 ) 2 (HCO 2 ) 4 (NTB) 2 , also called metal–organic layers (MOL), onto conductive multiwalled CNTs (CNT/MOL) to improve the conductivity of MOFs in electrocatalysis ( Figure A). [ 227 ] Then CNT/MOL was modified with TEMPO‐OPO 3 H 2 (CNT/MOL‐TEMPO‐OPO 3 2− ) and loaded on a macroporous reticulated vitreous carbon (RVC, 100 PPI) electrode to act as an efficient electrocatalyst for electrochemical acceptorless dehydrogenation of N ‐heterocycles to obtain quinoline or indole derivatives. The monolayer structure of MOL can accelerate the diffusivity of organic substrates and afford high densities of active sites, and CNTs can efficiently improve the conductivity of catalyst.…”
Section: Mofs and Mof Derivatives For Electrocatalysismentioning
confidence: 99%
See 1 more Smart Citation