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Exploration of the Conformational Scenario for α-, β-, and γ-Cyclodextrins in Dry and Wet Conditions, from Monomers to Crystal Structures: A Quantum-Mechanical Study

Articolo
Data di Pubblicazione:
2023
Abstract:
Cyclodextrins (CDs) constitute a class of cyclic oligosaccharides that are well recognized and largely applied in the drug delivery field, thanks to their biocompatibility, low cost, and the possibility to be derivatized in order to tune and optimize the complexation/release of the specific drug. The conformational flexibility of these systems is one of their key properties and requires a cost-effective methodology to be studied by combining the accuracy of results with the possibility of exploring a large set of conformations. In the present paper, we have explored the conformational potential energy surface of the monomers and dimers of α-, β-, and γ-cyclodextrins (i.e., 6, 7, and 8 monomeric units, respectively) by means of fast but accurate semiempirical methods, which are then refined by state-of-the-art DFT functionals. Moreover, the crystal structure is considered for a more suitable comparison with the IR spectrum experimentally recorded. Calculations are carried out in the gas phase and in water environments, applying both implicit and explicit treatments. We show that the conformation of the studied molecules changes from the gas phase to the water, even if treated implicitly, thus modifying their complexation capability.
Tipologia CRIS:
03A-Articolo su Rivista
Keywords:
IR spectra; conformational exploration; cyclodextrin; density functional theory
Elenco autori:
Stefano Pantaleone; Cecilia Irene Gho; Riccardo Ferrero; Valentina Brunella; Marta Corno
Autori di Ateneo:
BRUNELLA Valentina Giovanna
CORNO Marta
FERRERO RICCARDO
PANTALEONE STEFANO
Link alla scheda completa:
https://iris.unito.it/handle/2318/1947770
Link al Full Text:
https://iris.unito.it/retrieve/handle/2318/1947770/1219096/a-b-c-cyclodextr-ijms-2023.pdf
Pubblicato in:
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
Journal
Progetto:
Future HPC & Big Data-finanziato con fondi PNRR MUR-M4C2-Investimento 1.4-Avviso"Centri Nazionali"-D.D.n.3138 del 16/12/2021 rettificato con DD n.3175 del 18/12/2021,codice MUR CN00000013, CUP D13C22001340001
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Aree Di Ricerca

Settori (5)


PE4_1 - Physical chemistry - (2022)

PE4_3 - Molecular architecture and Structure - (2022)

INFORMATICA, AUTOMAZIONE e INTELLIGENZA ARTIFICIALE - Informatica per la Chimica

PIANETA TERRA, AMBIENTE, CLIMA, ENERGIA e SOSTENIBILITA' - Energia e Fonti Energetiche

SCIENZE MATEMATICHE, CHIMICHE, FISICHE - Materiali Avanzati
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