Exploring the mechanisms of drug-delivery by decorated ZnO nanoparticles through predictive ReaxFF molecular dynamics simulations.


Journal

Nanoscale
ISSN: 2040-3372
Titre abrégé: Nanoscale
Pays: England
ID NLM: 101525249

Informations de publication

Date de publication:
22 Sep 2022
Historique:
pubmed: 8 9 2022
medline: 24 9 2022
entrez: 7 9 2022
Statut: epublish

Résumé

Herein, we study the assembling of a drug delivery nanocarrier through reactive molecular dynamics simulations based on an appropriately tuned force field. First, we focus on the combination of the various components (all selected in agreement with experiments), namely nanoparticle (ZnO), functional chains (oleic acid), drug (carfilzomib), and solvent molecules (ethanol), and then on the ability of the assembled nanotool to release its cargo in a physiological environment (water). The simulation results reveal that reactivity is crucial for characterizing the stability of the functionalized ZnONP, its dynamics, and its interactions with lipid chains and drug molecules. The chains are stably chemisorbed on the ZnONP through monodentate or bidentate binding of the carboxyls to the Zn atoms (the hydrogens are released to the surface oxygens). Chains' self-interactions reinforce the lipid cover's stability and distribution on the ZnONP interface. The added drug migrates from the solution to the nano assembly and is captured by the lipids. The molecules are entrapped among the oleic acid chains and adsorbed on the uncoated regions of the nanoparticle surface, partially physisorbed or chemisorbed. The analysis of the simulations confirms that the supramolecular assembly is compact and stable in ethanol. However, upon injection into the water, the size of the aggregate gradually increases, and the lipids start to swell with the aqueous medium. The system evolves towards an unpacked structure where the chains are elongated, separated, and prone to release the cargo depending on local water activity and depth of cargo insertion. All the results agree with the literature confirming the reliability of our predictive computational procedure for disclosing the structure and dynamics of complex materials relevant to the medicinal chemistry field.

Identifiants

pubmed: 36069262
doi: 10.1039/d2nr03941a
doi:

Substances chimiques

Solvents 0
Water 059QF0KO0R
Oleic Acid 2UMI9U37CP
Ethanol 3K9958V90M
Zinc Oxide SOI2LOH54Z

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

13123-13131

Auteurs

Cheherazade Trouki (C)

CNR-IPCF, Institute of Chemical and Physical Processes, Pisa 56124, Italy.

Giovanni Barcaro (G)

CNR-IPCF, Institute of Chemical and Physical Processes, Pisa 56124, Italy.

Susanna Monti (S)

CNR-ICCOM, Institute of Chemistry of Organometallic Compounds, Pisa 56124, Italy. sapeptides@gmail.com.

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Classifications MeSH