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Molecular modelling of sorption processes of a range of diverse small organic molecules in Leonardite humic acid

Soil organic matter (SOM) is abundant in the environment and plays an important role in several biogeochemical processes, including microbial activity, soil aggregation, plant growth and carbon storage. One of its key functions is the retention and release of various chemical compounds, primarily go...

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Autores principales: Petrov, Drazen, Tunega, Daniel, Gerzabek, Martin H., Oostenbrink, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7540484/
https://www.ncbi.nlm.nih.gov/pubmed/33041627
http://dx.doi.org/10.1111/ejss.12868
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author Petrov, Drazen
Tunega, Daniel
Gerzabek, Martin H.
Oostenbrink, Chris
author_facet Petrov, Drazen
Tunega, Daniel
Gerzabek, Martin H.
Oostenbrink, Chris
author_sort Petrov, Drazen
collection PubMed
description Soil organic matter (SOM) is abundant in the environment and plays an important role in several biogeochemical processes, including microbial activity, soil aggregation, plant growth and carbon storage. One of its key functions is the retention and release of various chemical compounds, primarily governed by the sorption process, which strongly affects the environmental fate of nutrients and pollutants. Sorption largely depends on the composition of SOM, as well as its structure, dynamics and the thermodynamic conditions. Although several approaches are available, experimental characterization of sorption mechanisms is not easy. Computational models for predicting sorption coefficients often require a wealth of experimental data for training and are only applicable to compounds and conditions related to the training dataset. Here, we use molecular dynamics (MD) simulations to study the sorption of a range of small organic compounds. As a model SOM system we use the standard Leonardite humic acid (LHA) sample, which physicochemical properties have recently been characterized computationally in detail. This model allowed us to estimate sorption propensities of the systems at two different hydration levels (water activities close to 0 and 1), showing a remarkable correlation with experimental data. Importantly, this molecular modelling approach based on perturbation free‐energy calculations is rigorously derived from statistical thermodynamics and requires no experimental sorption data for training. It is therefore in principle applicable to any SOM model or thermodynamic condition. Moreover, the power of MD simulations to provide high‐resolution insight into atomistic and molecular interactions was employed to explore how sorbate molecules associate with the LHA matrix and which contacts they form. The heteroatoms of both sorbate and sorbent play an important role and water molecules are identified as further key players in facilitating the sorption process. HIGHLIGHTS: Modelling of the sorption processes in soil organic matter at atomistic level. Rigorous, physics‐based approach applicable to a range of SOM systems and conditions. Remarkable level of matching with experimental data with additional insight into the molecular mechanism. Interactions between the sorbate and local environment strongly affects the sorption process.
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spelling pubmed-75404842020-10-09 Molecular modelling of sorption processes of a range of diverse small organic molecules in Leonardite humic acid Petrov, Drazen Tunega, Daniel Gerzabek, Martin H. Oostenbrink, Chris Eur J Soil Sci Wcss 2018, Commission 2.5 Special Section Soil organic matter (SOM) is abundant in the environment and plays an important role in several biogeochemical processes, including microbial activity, soil aggregation, plant growth and carbon storage. One of its key functions is the retention and release of various chemical compounds, primarily governed by the sorption process, which strongly affects the environmental fate of nutrients and pollutants. Sorption largely depends on the composition of SOM, as well as its structure, dynamics and the thermodynamic conditions. Although several approaches are available, experimental characterization of sorption mechanisms is not easy. Computational models for predicting sorption coefficients often require a wealth of experimental data for training and are only applicable to compounds and conditions related to the training dataset. Here, we use molecular dynamics (MD) simulations to study the sorption of a range of small organic compounds. As a model SOM system we use the standard Leonardite humic acid (LHA) sample, which physicochemical properties have recently been characterized computationally in detail. This model allowed us to estimate sorption propensities of the systems at two different hydration levels (water activities close to 0 and 1), showing a remarkable correlation with experimental data. Importantly, this molecular modelling approach based on perturbation free‐energy calculations is rigorously derived from statistical thermodynamics and requires no experimental sorption data for training. It is therefore in principle applicable to any SOM model or thermodynamic condition. Moreover, the power of MD simulations to provide high‐resolution insight into atomistic and molecular interactions was employed to explore how sorbate molecules associate with the LHA matrix and which contacts they form. The heteroatoms of both sorbate and sorbent play an important role and water molecules are identified as further key players in facilitating the sorption process. HIGHLIGHTS: Modelling of the sorption processes in soil organic matter at atomistic level. Rigorous, physics‐based approach applicable to a range of SOM systems and conditions. Remarkable level of matching with experimental data with additional insight into the molecular mechanism. Interactions between the sorbate and local environment strongly affects the sorption process. Blackwell Publishing Ltd 2019-08-20 2020-09 /pmc/articles/PMC7540484/ /pubmed/33041627 http://dx.doi.org/10.1111/ejss.12868 Text en © 2019 The Authors. European Journal of Soil Science published by John Wiley & Sons Ltd on behalf of British Society of Soil Science. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Wcss 2018, Commission 2.5 Special Section
Petrov, Drazen
Tunega, Daniel
Gerzabek, Martin H.
Oostenbrink, Chris
Molecular modelling of sorption processes of a range of diverse small organic molecules in Leonardite humic acid
title Molecular modelling of sorption processes of a range of diverse small organic molecules in Leonardite humic acid
title_full Molecular modelling of sorption processes of a range of diverse small organic molecules in Leonardite humic acid
title_fullStr Molecular modelling of sorption processes of a range of diverse small organic molecules in Leonardite humic acid
title_full_unstemmed Molecular modelling of sorption processes of a range of diverse small organic molecules in Leonardite humic acid
title_short Molecular modelling of sorption processes of a range of diverse small organic molecules in Leonardite humic acid
title_sort molecular modelling of sorption processes of a range of diverse small organic molecules in leonardite humic acid
topic Wcss 2018, Commission 2.5 Special Section
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7540484/
https://www.ncbi.nlm.nih.gov/pubmed/33041627
http://dx.doi.org/10.1111/ejss.12868
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