MOF808(Zr) as a Heterogenous Catalyst for the Synthesis of Amides via Acid–Amine Coupling

Abstract Amidebonds are fundamental structural motifs in pharmaceuticals, polymers, andbiomolecules, yet their synthesis often relies on stoichiometric couplingagents, generating substantial waste. Heterogeneous catalysis offers asustainable alternative, but existing systems face challenges such as watersensitivity and limited substrate scope. Herein, we report a Zr‐basedmetal‐organic framework (MOF808) as an efficient and recyclable catalyst fordirect amide formation from carboxylic acids and amines. MOF808 features Zr6O4(OH)4(BTC)2(HCOO)6, providing Lewis acidic sites that facilitate condensation with high atomeconomy (only H2O as byproduct). Under optimized conditions (90 °C, 12h), the catalyst achieves 83.4% yield in model reactions, outperformingconventional oxides (e.g., ZrO2). Remarkably, MOF808 retains 50.6%activity after five cycles, with XRD and BET analyses confirming structuralintegrity. Mechanistic studies reveal that Zr‐O sites activate carboxyl groupsvia coordination, while the porous framework mitigates water‐induceddeactivation. Compared to coupling reagents (e.g., EDC/HATU), this systemeliminates stoichiometric waste and operates without molecular sieves. The workdemonstrates how tailored MOF architectures can bridge the gap betweenhomogeneous and heterogeneous catalysis, offering a green strategy for amidesynthesis with industrial potential.

Authors

Institutions

Publication Details

Journal
ChemistrySelect
Published
2025-04-29
DOI
https://doi.org/10.1002/slct.202501812
Citations
1
Primary Topic
Chemical Synthesis and Analysis
Type
article
Field-Weighted Citation Impact
0.81

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MOF808(Zr) as a Heterogenous Catalyst for the Synthesis of Amides via Acid–Amine Coupling

Jianguo Liu, Jie Wang
1 citations
ChemistrySelect
Chemical Synthesis and Analysis
0.81
article

MOF808(Zr) as a Heterogenous Catalyst for the Synthesis of Amides via Acid–Amine Coupling

Jianguo Liu, Jie Wang
article en
1 citations

Abstract

Abstract Amidebonds are fundamental structural motifs in pharmaceuticals, polymers, andbiomolecules, yet their synthesis often relies on stoichiometric couplingagents, generating substantial waste. Heterogeneous catalysis offers asustainable alternative, but existing systems face challenges such as watersensitivity and limited substrate scope. Herein, we report a Zr‐basedmetal‐organic framework (MOF808) as an efficient and recyclable catalyst fordirect amide formation from carboxylic acids and amines. MOF808 features Zr6O4(OH)4(BTC)2(HCOO)6, providing Lewis acidic sites that facilitate condensation with high atomeconomy (only H2O as byproduct). Under optimized conditions (90 °C, 12h), the catalyst achieves 83.4% yield in model reactions, outperformingconventional oxides (e.g., ZrO2). Remarkably, MOF808 retains 50.6%activity after five cycles, with XRD and BET analyses confirming structuralintegrity. Mechanistic studies reveal that Zr‐O sites activate carboxyl groupsvia coordination, while the porous framework mitigates water‐induceddeactivation. Compared to coupling reagents (e.g., EDC/HATU), this systemeliminates stoichiometric waste and operates without molecular sieves. The workdemonstrates how tailored MOF architectures can bridge the gap betweenhomogeneous and heterogeneous catalysis, offering a green strategy for amidesynthesis with industrial potential.

ChemistrySelectVol. 10(17)
Southeast University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 29%
Chemical Synthesis and Analysis
0.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.