Your browser doesn't support javascript.
loading
Chiral induction in substrate-supported self-assembled molecular networks under nanoconfinement conditions.
Tessari, Zeno; Rinkovec, Tamara; De Feyter, Steven.
Afiliación
  • Tessari Z; Division of Molecular Imaging and Photonics, Department of Chemistry KU Leuven, Celestijnenlaan 200 F 3001 Leuven Belgium steven.defeyter@kuleuven.be.
  • Rinkovec T; Division of Molecular Imaging and Photonics, Department of Chemistry KU Leuven, Celestijnenlaan 200 F 3001 Leuven Belgium steven.defeyter@kuleuven.be.
  • De Feyter S; Division of Molecular Imaging and Photonics, Department of Chemistry KU Leuven, Celestijnenlaan 200 F 3001 Leuven Belgium steven.defeyter@kuleuven.be.
Nanoscale Adv ; 6(3): 892-901, 2024 Jan 30.
Article en En | MEDLINE | ID: mdl-38298576
ABSTRACT
Self-assembly on surfaces often produces chiral networks, even when starting from achiral building blocks. However, when achiral molecules are used to produce chiral networks, two possible enantiomorphs are created with equal probability, rendering therefore the overall surface achiral. This outcome can be changed by finding a way to promote the preferential formation of one of the two enantiomorphs. In this regard, the creation of nanoconfined space, which has been called molecular corral, having a chosen orientation with respect to the substrate symmetry has been demonstrated to be a valid way to obtain the preferential self-assembly of a network having a determined chirality. In this study we aim to further expand the understanding of the principles of such mechanism, in particular by looking at unexplored parameters that could have a role in the production of the observed bias. In this way a deeper comprehension of the mechanisms at the base of the chiral self-assembly could be obtained.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Nanoscale Adv Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Nanoscale Adv Año: 2024 Tipo del documento: Article
...