Theoretical Evaluation of the Molecular Inclusion Process between Chlordecone and Cyclodextrins: A New Method for Mitigating the Basis Set Superposition Error in the Case of an Implicit Solvation Model
Author(s) -
Juan José GamboaCarballo,
Anthuan Ferino-Pérez,
Vijay Kumar Rana,
Joëlle LevaloisGrützmacher,
Sarra Gaspard,
Luís A. Montero,
Ulises JáureguiHaza
Publication year - 2020
Publication title -
journal of chemical information and modeling
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.24
H-Index - 160
eISSN - 1549-960X
pISSN - 1549-9596
DOI - 10.1021/acs.jcim.9b01064
Subject(s) - solvation , intermolecular force , density functional theory , chemistry , basis set , computational chemistry , quantum chemistry , molecule , hamiltonian (control theory) , implicit solvation , maxima and minima , atoms in molecules , superposition principle , mathematics , quantum mechanics , physics , organic chemistry , mathematical analysis , mathematical optimization , supramolecular chemistry
The aim of this work is to describe the molecular inclusion of chlordecone with α-, β-, and γ-cyclodextrin in aqueous solution using quantum mechanics. The guest-host complexes of chlordecone and cyclodextrins are modeled in aqueous solution using the multiple minima hypersurface methodology with a PM6-D3H4X semiempirical Hamiltonian, and the lowest energy minima obtained are reoptimized using the M06-2X density functional and the intermolecular interactions described using quantum theory of atoms in molecules (QTAIM). The studied complexes are classified according to the degree of inclusion, namely, total occlusion, partial occlusion, and external interaction. More stable complexes are obtained when γ-CD is used as the host molecule. The interactions characterized through QTAIM analysis are all of electrostatic nature, predominantly of dispersive type. In this work, a method based on the counterpoise correction is also discussed to mitigate the basis set superposition error in density functional theory calculations when using an implicit solvation model.
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