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Computational Prediction of 1 H and 13 C NMR Chemical Shifts for Protonated Alkylpyrroles: Electron Correlation and Not Solvation is the Salvation.
- Source :
-
Chemphyschem : a European journal of chemical physics and physical chemistry [Chemphyschem] 2019 Jan 07; Vol. 20 (1), pp. 78-91. Date of Electronic Publication: 2018 Dec 07. - Publication Year :
- 2019
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Abstract
- Prediction of chemical shifts in organic cations is known to be a challenge. In this article we meet this challenge for α-protonated alkylpyrroles, a class of compounds not yet studied in this context, and present a combined experimental and theoretical study of the <superscript>13</superscript> C and <superscript>1</superscript> H chemical shifts in three selected pyrroles. We have investigated the importance of the solvation model, basis set, and quantum chemical method with the goal of developing a simple computational protocol, which allows prediction of <superscript>13</superscript> C and <superscript>1</superscript> H chemical shifts with sufficient accuracy for identifying such compounds in mixtures. We find that density functional theory with the B3LYP functional is not sufficient for reproducing all <superscript>13</superscript> C chemical shifts, whereas already the simplest correlated wave function model, Møller-Plesset perturbation theory (MP2), leads to almost perfect agreement with the experimental data. Treatment of solvent effects generally improves the agreement with experiment to some extent and can in most cases be accomplished by a simple polarizable continuum model. The only exception is the NH proton, which requires inclusion of explicit solvent molecules in the calculation.<br /> (© 2019 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.)
Details
- Language :
- English
- ISSN :
- 1439-7641
- Volume :
- 20
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Chemphyschem : a European journal of chemical physics and physical chemistry
- Publication Type :
- Academic Journal
- Accession number :
- 30452112
- Full Text :
- https://doi.org/10.1002/cphc.201801066