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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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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 |
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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 |
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