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Revisiting nucleophilicity: an index for chemical reactivity from a CDFT approach.
Hoffmann, Guillaume; Chermette, Henry; Morell, Christophe.
Affiliation
  • Hoffmann G; Universite Claude Bernard Lyon1, ISA, UMR5280, CNRS, 5 rue de la Doua, Villeurbanne, 69100, France. guillaume.hoffmann@univ-lyon1.fr.
  • Chermette H; Universite Claude Bernard Lyon1, ISA, UMR5280, CNRS, 5 rue de la Doua, Villeurbanne, 69100, France.
  • Morell C; Universite Claude Bernard Lyon1, ISA, UMR5280, CNRS, 5 rue de la Doua, Villeurbanne, 69100, France.
J Mol Model ; 30(7): 232, 2024 Jun 28.
Article de En | MEDLINE | ID: mdl-38937336
ABSTRACT
CONTEXT Understanding and predicting the nucleophilic reactivity are paramount in elucidating organic chemical reactions and designing new synthetic pathways. In this study, we propose a nucleophilicity index within the framework of Conceptual Density Functional Theory (CDFT). Through rigorous theoretical formulations, we introduce an original quantum reactivity descriptor that captures the nucleophilic propensity of molecules based on their electronic structure and chemical environment. Subsequently, this proposed index is applied to a series of nucleophiles (pyrrolidines derivatives), spanning a diverse range of chemical functionalities. Our computational assessments reveal insightful correlations between the predicted nucleophilicity index and experimental observations of nucleophilic behavior. Thereby, they offer a promising avenue for advancing the understanding of organic reactivity and guiding synthetic efforts.

METHODS:

Experimentally, Mayr's experimental parameters accounting for nucleophilicity were selected for the pyrrolidines. This study used DFT calculations at the B3LYP/Aug-cc-pVTZ level of theory using the Gaussian 16 program. Geometry optimization was thus performed, and the methodology employed for the computation of quantum reactivity descriptor is presented. Solvent effect was also taken into account using IEFPCM, and empirical dispersion correction (GD3) was employed.
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: J Mol Model Sujet du journal: BIOLOGIA MOLECULAR Année: 2024 Type de document: Article Pays d'affiliation: France Pays de publication: Allemagne

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: J Mol Model Sujet du journal: BIOLOGIA MOLECULAR Année: 2024 Type de document: Article Pays d'affiliation: France Pays de publication: Allemagne