Understanding how therapeutic molecules interact with metallic nanostructures is critical for advancing nanoscale sensing and drug-delivery technologies. In this work, we present a comprehensive density functional theory (DFT) investigation of a typical antipsychotic drug quetiapine (QTE) interacting with coinage metal nanoclusters (Au3, Ag3, and Cu3). Various adsorption configurations were analyzed to identify the most favorable sites and their influence on structural, electronic, and spectroscopic properties. Adsorption through the nitrogen center of QTE was found to be the most stable, showing significant charge transfer and orbital hybridization, particularly in the Cu3-QTE complex. These interactions markedly modify the HOMO-LUMO gap, dipole moment, and charge distribution, suggesting improved electronic reactivity and enhanced sensing response. Electron localization function (ELF), localized orbital locator (LOL), and reduced density gradient (RDG) analyses reveal the nature and strength of non-covalent interactions, while atoms-in-molecules (AIM) topology confirms bonding characteristics at the interface. Simulated UV-Vis and Raman spectra display red shifts and SERS-like enhancement consistent with experimental detection mechanisms. Collectively, this study establishes a fundamental framework for understanding metal-drug interactions at the quantum level and offers design insights for developing efficient biosensors and nanomedical devices based on coinage metal nanoclusters.
Computational insights into quetiapine adsorption on coinage metal nanoclusters: mechanistic basis for sensing and nanomedicine / Al-Otaibi, J. S.; Mary, Y. S.; Mishma, J. N. C.; Gayathri, B.; Resmi, K. S.; Gamberini, M. C.. - In: CHEMICKÉ ZVESTI. - ISSN 0366-6352. - 80:3(2026), pp. 3065-3083. [10.1007/s11696-025-04571-x]
Computational insights into quetiapine adsorption on coinage metal nanoclusters: mechanistic basis for sensing and nanomedicine
Gamberini M. C.
2026
Abstract
Understanding how therapeutic molecules interact with metallic nanostructures is critical for advancing nanoscale sensing and drug-delivery technologies. In this work, we present a comprehensive density functional theory (DFT) investigation of a typical antipsychotic drug quetiapine (QTE) interacting with coinage metal nanoclusters (Au3, Ag3, and Cu3). Various adsorption configurations were analyzed to identify the most favorable sites and their influence on structural, electronic, and spectroscopic properties. Adsorption through the nitrogen center of QTE was found to be the most stable, showing significant charge transfer and orbital hybridization, particularly in the Cu3-QTE complex. These interactions markedly modify the HOMO-LUMO gap, dipole moment, and charge distribution, suggesting improved electronic reactivity and enhanced sensing response. Electron localization function (ELF), localized orbital locator (LOL), and reduced density gradient (RDG) analyses reveal the nature and strength of non-covalent interactions, while atoms-in-molecules (AIM) topology confirms bonding characteristics at the interface. Simulated UV-Vis and Raman spectra display red shifts and SERS-like enhancement consistent with experimental detection mechanisms. Collectively, this study establishes a fundamental framework for understanding metal-drug interactions at the quantum level and offers design insights for developing efficient biosensors and nanomedical devices based on coinage metal nanoclusters.| File | Dimensione | Formato | |
|---|---|---|---|
|
Computational insights into quetiapine adsorption.pdf
Accesso riservato
Tipologia:
VOR - Versione pubblicata dall'editore
Dimensione
2.24 MB
Formato
Adobe PDF
|
2.24 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate

I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris




