Computational investigation of a stereoselective synthesis of atropisomeric hydrazides possessing an N–N stereogenic axis


Autoria(s): Pellegrini, Andrea
Contribuinte(s)

Righi, Paolo

Bencivenni, Giorgio

Portolani, Chiara

Rivalta, Ivan

Data(s)

18/07/2022

Resumo

Axially chiral substrates are an interesting and widely studied class of compounds as they can be found in bioactive natural products and are employed as functional materials or as ligands in asymmetric catalytic processes. One branch of this family is the well-known world of the atropisomers. Among them, atropisomeric compounds possessing an N–N stereogenic axis are one truthfully fascinating system but not completely understood yet. In this thesis, we computationally investigated the mechanism of the diastereoselective formation of the N – N chiral axis of a hydrazide under asymmetric phase transfer catalytic conditions. Moreover, during this study, torsional barriers have been calculated for both the reagent and the product at the density functional theory (DFT). These values turned out to suitably match the experimental values and observations. Finally, Electronic Circular Dichroism (ECD) spectra have been simulated in order to assign the chiral absolute configuration to the products.

Formato

application/pdf

Identificador

http://amslaurea.unibo.it/26377/1/tesi.pdf

Pellegrini, Andrea (2022) Computational investigation of a stereoselective synthesis of atropisomeric hydrazides possessing an N–N stereogenic axis. [Laurea magistrale], Università di Bologna, Corso di Studio in Chimica industriale [LM-DM270] <http://amslaurea.unibo.it/view/cds/CDS0884/>, Documento ad accesso riservato.

Idioma(s)

en

Publicador

Alma Mater Studiorum - Università di Bologna

Relação

http://amslaurea.unibo.it/26377/

Direitos

cc_by_nc_nd4

info:eu-repo/semantics/embargoedAccess end:2025-07-22

Palavras-Chave #atropisomers asymmetric catalysis phase transfer catalysis computational chemistry DFT barriers #Chimica industriale [LM-DM270]
Tipo

PeerReviewed

info:eu-repo/semantics/masterThesis