Computational Study of a Copper-Catalyzed Synthesis of Fluoroalcohols from Alkylboranes and Ketones

Fluoroalcohols are a class of organic compounds containing one or more fluorine atoms together with an alcohol group in their molecular structure. These fluorinated species have a wide range of applications due to their unique properties and are used in medicine and electronics. Herein, we propose a...

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Detalhes bibliográficos
Autores: Gómez-Mudarra, Francisco A., Aullón López, Gabriel, Jover Modrego, Jesús
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Recursos:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/224132
Acesso em linha:https://hdl.handle.net/2445/224132
Access Level:acceso abierto
Palavra-chave:Reaccions d'addició
Cetones
Hidrocarburs
Addition reactions
Ketones
Hydrocarbons
Descrição
Resumo:Fluoroalcohols are a class of organic compounds containing one or more fluorine atoms together with an alcohol group in their molecular structure. These fluorinated species have a wide range of applications due to their unique properties and are used in medicine and electronics. Herein, we propose a new synthetic procedure, promoted by a copper(I) catalyst, for preparing fluoroalcohols from alkylboranes and symmetric ketones. The reaction has been computationally explored to propose a plausible mechanism, which allows identifying the rate-limiting step and quantitatively evaluating the electronic effects of each substrate on the overall reactivity. These DFT calculations suggest that the combination of electron-poor ketones with electron-rich alkylboranes produce the most efficient catalytic systems for preparing fluoroalcohols. Microkinetic modeling of the studied systems allow the prediction of the activation barrier limit to achieve fully functional reactions and multilinear regression techniques provide a methodology to estimate the overall reaction barriers in a simple manner, opening the way for proposing new catalytic systems.