Cargando…

Molecular Dynamics Simulation Prediction of the Partitioning Constants (K(H), K(iw), K(ia)) of 82 Legacy and Emerging Organic Contaminants at the Water–Air Interface

[Image: see text] The tendency of organic contaminants (OCs) to partition between different phases is a key set of properties that underlie their human and ecological health impacts and the success of remediation efforts. A significant challenge associated with these efforts is the need for accurate...

Descripción completa

Detalles Bibliográficos
Autores principales: Lemay, Amélie C., Sontarp, Ethan J., Martinez, Daniela, Maruri, Philip, Mohammed, Raneem, Neapole, Ryan, Wiese, Morgan, Willemsen, Jennifer A. R., Bourg, Ian C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10353008/
https://www.ncbi.nlm.nih.gov/pubmed/37014786
http://dx.doi.org/10.1021/acs.est.3c00267
_version_ 1785074632101986304
author Lemay, Amélie C.
Sontarp, Ethan J.
Martinez, Daniela
Maruri, Philip
Mohammed, Raneem
Neapole, Ryan
Wiese, Morgan
Willemsen, Jennifer A. R.
Bourg, Ian C.
author_facet Lemay, Amélie C.
Sontarp, Ethan J.
Martinez, Daniela
Maruri, Philip
Mohammed, Raneem
Neapole, Ryan
Wiese, Morgan
Willemsen, Jennifer A. R.
Bourg, Ian C.
author_sort Lemay, Amélie C.
collection PubMed
description [Image: see text] The tendency of organic contaminants (OCs) to partition between different phases is a key set of properties that underlie their human and ecological health impacts and the success of remediation efforts. A significant challenge associated with these efforts is the need for accurate partitioning data for an ever-expanding list of OCs and breakdown products. All-atom molecular dynamics (MD) simulations have the potential to help generate these data, but existing studies have applied these techniques only to a limited variety of OCs. Here, we use established MD simulation approaches to examine the partitioning of 82 OCs, including many compounds of critical concern, at the water–air interface. Our predictions of the Henry’s law constant (K(H)) and interfacial adsorption coefficients (K(iw), K(ia)) correlate strongly with experimental results, indicating that MD simulations can be used to predict K(H), K(iw), and K(ia) values with mean absolute deviations of 1.1, 0.3, and 0.3 logarithmic units after correcting for systematic bias, respectively. A library of MD simulation input files for the examined OCs is provided to facilitate future investigations of the partitioning of these compounds in the presence of other phases.
format Online
Article
Text
id pubmed-10353008
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher American Chemical Society
record_format MEDLINE/PubMed
spelling pubmed-103530082023-07-19 Molecular Dynamics Simulation Prediction of the Partitioning Constants (K(H), K(iw), K(ia)) of 82 Legacy and Emerging Organic Contaminants at the Water–Air Interface Lemay, Amélie C. Sontarp, Ethan J. Martinez, Daniela Maruri, Philip Mohammed, Raneem Neapole, Ryan Wiese, Morgan Willemsen, Jennifer A. R. Bourg, Ian C. Environ Sci Technol [Image: see text] The tendency of organic contaminants (OCs) to partition between different phases is a key set of properties that underlie their human and ecological health impacts and the success of remediation efforts. A significant challenge associated with these efforts is the need for accurate partitioning data for an ever-expanding list of OCs and breakdown products. All-atom molecular dynamics (MD) simulations have the potential to help generate these data, but existing studies have applied these techniques only to a limited variety of OCs. Here, we use established MD simulation approaches to examine the partitioning of 82 OCs, including many compounds of critical concern, at the water–air interface. Our predictions of the Henry’s law constant (K(H)) and interfacial adsorption coefficients (K(iw), K(ia)) correlate strongly with experimental results, indicating that MD simulations can be used to predict K(H), K(iw), and K(ia) values with mean absolute deviations of 1.1, 0.3, and 0.3 logarithmic units after correcting for systematic bias, respectively. A library of MD simulation input files for the examined OCs is provided to facilitate future investigations of the partitioning of these compounds in the presence of other phases. American Chemical Society 2023-04-04 /pmc/articles/PMC10353008/ /pubmed/37014786 http://dx.doi.org/10.1021/acs.est.3c00267 Text en © 2023 American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Lemay, Amélie C.
Sontarp, Ethan J.
Martinez, Daniela
Maruri, Philip
Mohammed, Raneem
Neapole, Ryan
Wiese, Morgan
Willemsen, Jennifer A. R.
Bourg, Ian C.
Molecular Dynamics Simulation Prediction of the Partitioning Constants (K(H), K(iw), K(ia)) of 82 Legacy and Emerging Organic Contaminants at the Water–Air Interface
title Molecular Dynamics Simulation Prediction of the Partitioning Constants (K(H), K(iw), K(ia)) of 82 Legacy and Emerging Organic Contaminants at the Water–Air Interface
title_full Molecular Dynamics Simulation Prediction of the Partitioning Constants (K(H), K(iw), K(ia)) of 82 Legacy and Emerging Organic Contaminants at the Water–Air Interface
title_fullStr Molecular Dynamics Simulation Prediction of the Partitioning Constants (K(H), K(iw), K(ia)) of 82 Legacy and Emerging Organic Contaminants at the Water–Air Interface
title_full_unstemmed Molecular Dynamics Simulation Prediction of the Partitioning Constants (K(H), K(iw), K(ia)) of 82 Legacy and Emerging Organic Contaminants at the Water–Air Interface
title_short Molecular Dynamics Simulation Prediction of the Partitioning Constants (K(H), K(iw), K(ia)) of 82 Legacy and Emerging Organic Contaminants at the Water–Air Interface
title_sort molecular dynamics simulation prediction of the partitioning constants (k(h), k(iw), k(ia)) of 82 legacy and emerging organic contaminants at the water–air interface
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10353008/
https://www.ncbi.nlm.nih.gov/pubmed/37014786
http://dx.doi.org/10.1021/acs.est.3c00267
work_keys_str_mv AT lemayameliec moleculardynamicssimulationpredictionofthepartitioningconstantskhkiwkiaof82legacyandemergingorganiccontaminantsatthewaterairinterface
AT sontarpethanj moleculardynamicssimulationpredictionofthepartitioningconstantskhkiwkiaof82legacyandemergingorganiccontaminantsatthewaterairinterface
AT martinezdaniela moleculardynamicssimulationpredictionofthepartitioningconstantskhkiwkiaof82legacyandemergingorganiccontaminantsatthewaterairinterface
AT maruriphilip moleculardynamicssimulationpredictionofthepartitioningconstantskhkiwkiaof82legacyandemergingorganiccontaminantsatthewaterairinterface
AT mohammedraneem moleculardynamicssimulationpredictionofthepartitioningconstantskhkiwkiaof82legacyandemergingorganiccontaminantsatthewaterairinterface
AT neapoleryan moleculardynamicssimulationpredictionofthepartitioningconstantskhkiwkiaof82legacyandemergingorganiccontaminantsatthewaterairinterface
AT wiesemorgan moleculardynamicssimulationpredictionofthepartitioningconstantskhkiwkiaof82legacyandemergingorganiccontaminantsatthewaterairinterface
AT willemsenjenniferar moleculardynamicssimulationpredictionofthepartitioningconstantskhkiwkiaof82legacyandemergingorganiccontaminantsatthewaterairinterface
AT bourgianc moleculardynamicssimulationpredictionofthepartitioningconstantskhkiwkiaof82legacyandemergingorganiccontaminantsatthewaterairinterface