Mechanistic Avenues in the Chan-Lam-Based Etherification Reaction: A Computational Exploration
Thangaiyan Pooventhiran1, Nripen Khilari1, Debasis Koley1
1Department of Chemical Sciences, Indian Institute of Science Education and Research (IISER) Kolkata, Mohanpur, 741 246, India.
This study uses DFT calculations to reveal the mechanism of copper-catalyzed Chan-Lam etherification. The rate-determining step involves transmetalation, with electron-rich aryl systems showing higher reaction turnovers.
Area of Science:
- Organic Chemistry
- Computational Chemistry
- Catalysis
Background:
- Chan-Lam (CL) coupling reactions, particularly C-O bond formation, are crucial in organic synthesis.
- Advances in Cu(II)-catalyzed aerobic oxidative coupling have improved CL-based protocols.
- A detailed mechanistic understanding of CL etherification, including energetics, remains incomplete.
Purpose of the Study:
- To elucidate the mechanistic pathways of Chan-Lam (CL)-based etherification using DFT calculations.
- To identify the rate-determining step and key intermediates in the catalytic cycle.
- To investigate the influence of substrate electronics on reaction efficiency.
Main Methods:
- Density Functional Theory (DFT)-guided computational study.
- Analysis of catalytic cycle steps and their activation barriers.
- Hammett studies on substituted aryl boronic esters.
Main Results:
- Identified a Cu(II) intermediate as the resting state, with transmetalation as the rate-determining step (20.4 kcal/mol activation barrier).
- Subsequent steps in the catalytic cycle have lower energy spans.
- Electron-rich aryl systems exhibit higher reaction turnovers, consistent with experimental data.
- Predicted moderate to high etherification turnovers for most alcohol substrates, with cyclohexanol as an exception.
Conclusions:
- The study provides fundamental insights into the mechanism of Cu(II)-catalyzed Chan-Lam etherification.
- Computational findings clarify the energetics of key steps, particularly transmetalation.
- The results support experimental observations and offer predictive power for substrate scope and efficiency.
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