Role of Microsolvation and Quantum Effects in the Accurate Prediction of Kinetic Isotope Effects: The Case of Hydrogen Atom Abstraction in Ethanol by Atomic Hydrogen in Aqueous Solution

Suraj Kannath, Paweł Adamczyk, David Ferro-Costas, Antonio Fernández-Ramos, Dan Thomas Major, Agnieszka Dybala-Defratyka

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Hydrogen abstraction from ethanol by atomic hydrogen in aqueous solution is studied using two theoretical approaches: the multipath variational transition state theory (MP-VTST) and a path-integral formalism in combination with free-energy perturbation and umbrella sampling (PI-FEP/UM). The performance of the models is compared to experimental values of H kinetic isotope effects (KIE). Solvation models used in this study ranged from purely implicit, via mixed-microsolvation treated quantum mechanically via the density functional theory (DFT) to fully explicit representation of the solvent, which was incorporated using a combined quantum mechanical-molecular mechanical (QM/MM) potential. The effects of the transition state conformation and the position of microsolvating water molecules interacting with the solute on the KIE are discussed. The KIEs are in good agreement with experiment when MP-VTST is used together with a model that includes microsolvation of the polar part of ethanol by five or six water molecules, emphasizing the importance of explicit solvation in KIE calculations. Both, MP-VTST and PI-FEP/UM enable detailed characterization of nuclear quantum effects accompanying the hydrogen atom transfer reaction in aqueous solution.

Original languageEnglish
Pages (from-to)847-859
Number of pages13
JournalJournal of Chemical Theory and Computation
Volume16
Issue number2
DOIs
StatePublished - 11 Feb 2020

Bibliographical note

Publisher Copyright:
Copyright © 2020 American Chemical Society.

Funding

This work was partially supported by the National Science Center in Poland (Sonata BIS grant UMO-2014/14/E/ST4/00041) and in part by PLGrid Infrastructure (Poland). S.K. acknowledges the Erasmus+ programme within which his 3-month project conducted at the University of Santiago de Compostela was possible. A.F-.R. thanks the Conselleria de Cultura, Educacion e Ordenacion Universitaria (Axuda para Consolidacion e Estructuracion de unidades de investigacion competitivas do Sistema Universitario de Galicia, Xunta de Galicia ED431C 2017/17 & Centro singular de investigacion de Galicia acreditacion 2016-2019, ED431G/09) and the European Regional Development Fund (ERDF). D.F-.C. also thanks Xunta de Galicia for financial support through a postdoctoral grant. This work was partially supported by the National Science Center in Poland (Sonata BIS grant UMO-2014/14/E/ST4/00041) and in part by PLGrid Infrastructure (Poland). S.K. acknowledges the Erasmus+ programme within which his 3-month project conducted at the University of Santiago de Compostela was possible. A.F-.R. thanks the Consellería de Cultura, Educación e Ordenación Universitaria (Axuda para Consolidación e Estructuración de unidades de investigación competitivas do Sistema Universitario de Galicia, Xunta de Galicia ED431C 2017/17 & Centro singular de investigación de Galicia acreditación 2016-2019, ED431G/09) and the European Regional Development Fund (ERDF). D.F-.C. also thanks Xunta de Galicia for financial support through a postdoctoral grant.

FundersFunder number
Conselleria de Cultura, Educacion e Ordenacion Universitaria
Consellería de Cultura, Educación e Ordenación Universitaria
National Science Center in Poland
Sistema Universitario de Galicia
Sonata BISUMO-2014/14/E/ST4/00041
European Regional Development Fund
Erasmus+
Xunta de GaliciaED431C 2017/17, ED431G/09
Infrastruktura PL-Grid

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