Cargando…
Ab Initio Derived Classical Force Field for Molecular Dynamics Simulations of ZnO Surfaces in Biological Environment
[Image: see text] Zinc oxide nanostructures are used in an ever increasing line of applications in technology and biomedical fields. This requires a detailed understanding of the phenomena that occur at the surface particularly in aqueous environments and in contact with biomolecules. In this work,...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10316393/ https://www.ncbi.nlm.nih.gov/pubmed/37314246 http://dx.doi.org/10.1021/acs.jpca.3c00424 |
_version_ | 1785067700604633088 |
---|---|
author | Saeedimasine, Marzieh Grote, Fredrik Lyubartsev, Alexander P. |
author_facet | Saeedimasine, Marzieh Grote, Fredrik Lyubartsev, Alexander P. |
author_sort | Saeedimasine, Marzieh |
collection | PubMed |
description | [Image: see text] Zinc oxide nanostructures are used in an ever increasing line of applications in technology and biomedical fields. This requires a detailed understanding of the phenomena that occur at the surface particularly in aqueous environments and in contact with biomolecules. In this work, we used ab initio molecular dynamics (AIMD) simulations to determine structural details of ZnO surfaces in water and to develop a general and transferable classical force field for hydrated ZnO surfaces. AIMD simulations show that water molecules dissociate near unmodified ZnO surfaces, forming hydroxyl groups at about 65% of the surface Zn atoms and protonating 3-coordinated surface oxygen atoms, while the rest of the surface Zn atoms bind molecularly adsorbed waters. Several force field atom types for ZnO surface atoms were identified by analysis of the specific connectivities of atoms. The analysis of the electron density was then used to determine partial charges and Lennard-Jones parameters for the identified force field atom types. The obtained force field was validated by comparison with AIMD results and with available experimental data on adsorption and immersion enthalpies, as well as adsorption free energies of several amino acids in methanol. The developed force field can be used for modeling of ZnO in aqueous and other fluid environments and in interaction with biomolecules. |
format | Online Article Text |
id | pubmed-10316393 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-103163932023-07-04 Ab Initio Derived Classical Force Field for Molecular Dynamics Simulations of ZnO Surfaces in Biological Environment Saeedimasine, Marzieh Grote, Fredrik Lyubartsev, Alexander P. J Phys Chem A [Image: see text] Zinc oxide nanostructures are used in an ever increasing line of applications in technology and biomedical fields. This requires a detailed understanding of the phenomena that occur at the surface particularly in aqueous environments and in contact with biomolecules. In this work, we used ab initio molecular dynamics (AIMD) simulations to determine structural details of ZnO surfaces in water and to develop a general and transferable classical force field for hydrated ZnO surfaces. AIMD simulations show that water molecules dissociate near unmodified ZnO surfaces, forming hydroxyl groups at about 65% of the surface Zn atoms and protonating 3-coordinated surface oxygen atoms, while the rest of the surface Zn atoms bind molecularly adsorbed waters. Several force field atom types for ZnO surface atoms were identified by analysis of the specific connectivities of atoms. The analysis of the electron density was then used to determine partial charges and Lennard-Jones parameters for the identified force field atom types. The obtained force field was validated by comparison with AIMD results and with available experimental data on adsorption and immersion enthalpies, as well as adsorption free energies of several amino acids in methanol. The developed force field can be used for modeling of ZnO in aqueous and other fluid environments and in interaction with biomolecules. American Chemical Society 2023-06-14 /pmc/articles/PMC10316393/ /pubmed/37314246 http://dx.doi.org/10.1021/acs.jpca.3c00424 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Saeedimasine, Marzieh Grote, Fredrik Lyubartsev, Alexander P. Ab Initio Derived Classical Force Field for Molecular Dynamics Simulations of ZnO Surfaces in Biological Environment |
title | Ab Initio Derived Classical Force Field for Molecular
Dynamics Simulations of ZnO Surfaces in Biological Environment |
title_full | Ab Initio Derived Classical Force Field for Molecular
Dynamics Simulations of ZnO Surfaces in Biological Environment |
title_fullStr | Ab Initio Derived Classical Force Field for Molecular
Dynamics Simulations of ZnO Surfaces in Biological Environment |
title_full_unstemmed | Ab Initio Derived Classical Force Field for Molecular
Dynamics Simulations of ZnO Surfaces in Biological Environment |
title_short | Ab Initio Derived Classical Force Field for Molecular
Dynamics Simulations of ZnO Surfaces in Biological Environment |
title_sort | ab initio derived classical force field for molecular
dynamics simulations of zno surfaces in biological environment |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10316393/ https://www.ncbi.nlm.nih.gov/pubmed/37314246 http://dx.doi.org/10.1021/acs.jpca.3c00424 |
work_keys_str_mv | AT saeedimasinemarzieh abinitioderivedclassicalforcefieldformoleculardynamicssimulationsofznosurfacesinbiologicalenvironment AT grotefredrik abinitioderivedclassicalforcefieldformoleculardynamicssimulationsofznosurfacesinbiologicalenvironment AT lyubartsevalexanderp abinitioderivedclassicalforcefieldformoleculardynamicssimulationsofznosurfacesinbiologicalenvironment |