Literature DB >> 20077535

First-principles prediction of nucleophilicity parameters for pi nucleophiles: implications for mechanistic origin of Mayr's equation.

Chen Wang1, Yao Fu, Qing-Xiang Guo, Lei Liu.   

Abstract

Quantitative nucleophilicity scales are fundamental to organic chemistry and are usually constructed on the basis of Mayr's equation [log k=s(N+E)] by using benzhydrylium ions as reference electrophiles. Here an ab initio protocol was developed for the first time to predict the nucleophilicity parameters N of various pi nucleophiles in CH(2)Cl(2) through transition-state calculations. The optimized theoretical model (BH&HLYP/6-311++G(3df,2p)//B3LYP/6-311+G(d,p)/PCM/UAHF) could predict the N values of structurally unrelated pi nucleophiles within a precision of ca. 1.14 units and therefore may find applications for the prediction of nucleophilicity of compounds that are not readily amenable to experimental characterization. The success in predicting N parameters from first principles also allowed us to analyze in depth the electrostatic, steric, and solvation energies involved in electrophile-nucleophile reactions. We found that solvation does not play an important role in the validity of Mayr's equation. On the other hand, the correlations of the E, N, and log k values with the energies of the frontier molecular orbitals indicated that electrostatic/charge-transfer interactions play vital roles in Mayr's equation. Surprising correlations observed between the electrophile-nucleophile C-C distances in the transition state, the activation energy barriers, and the E and N parameters indicate the importance of steric interactions in Mayr's equation. A method is then proposed to separate the attraction and repulsion energies in the nucleophile-electrophile interaction. It was found that the attraction energy correlated with N+E, whereas the repulsion energy correlated to the s parameter.

Entities:  

Year:  2010        PMID: 20077535     DOI: 10.1002/chem.200902484

Source DB:  PubMed          Journal:  Chemistry        ISSN: 0947-6539            Impact factor:   5.236


  4 in total

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Authors:  Guillaume Hoffmann; Vincent Tognetti; Laurent Joubert
Journal:  J Mol Model       Date:  2018-09-14       Impact factor: 1.810

2.  Nucleophilicity Prediction via Multivariate Linear Regression Analysis.

Authors:  Manuel Orlandi; Margarita Escudero-Casao; Giulia Licini
Journal:  J Org Chem       Date:  2021-02-03       Impact factor: 4.354

3.  Bond Energies of Enamines.

Authors:  Yao Li; Long Zhang; Sanzhong Luo
Journal:  ACS Omega       Date:  2022-02-10

4.  Uncertainty Quantification of Reactivity Scales.

Authors:  Jonny Proppe; Johannes Kircher
Journal:  Chemphyschem       Date:  2022-03-18       Impact factor: 3.520

  4 in total

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