Abstract
Dissolved organic matter (DOM) plays a significant role in the transport and transformation of pollutants in the aquatic environment. However, the experimental characterization of DOM has been limited mainly to bulk properties, and the molecular-level interactions among various components of DOM remain to be fully characterized. Here, we use molecular dynamics (MD) simulations to probe the structural properties of model DOM systems at atomic detail. The 200 ns simulations, validated by available experimental data, reveal processes and mechanisms by which chemical species (cations, peptides, lipids, lignin, carbohydrates, and some low-molecular-weight aliphatic and aromatic compounds) aggregate to form complex DOM. The DOM aggregates are dynamic, consisting of a hydrophobic core and amphiphilic exterior. The lipid tails and other hydrophobic fragments form the core, with hydrophilic and amphiphilic groups exposed to water, making DOM accessible to both polar and nonpolar species. Thus, the lipid component acts as a nucleator, whereas cations (especially Ca2+) connect the molecular fragments on the surface by coordinating with the O-containing functional groups of DOM. The structural details revealed here provide new insights including surface accessible atoms, overall assemblage, and interactions among the molecules of DOM for understanding the kinetics and mechanisms through which DOM interacts with metal and other contaminants.
Original language | English |
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Pages (from-to) | 13527-13537 |
Number of pages | 11 |
Journal | Environmental Science and Technology |
Volume | 54 |
Issue number | 21 |
DOIs | |
State | Published - Nov 3 2020 |
Bibliographical note
Publisher Copyright:©
Funding
This work was conducted jointly at the University of Tennessee, Knoxville and Oak Ridge National Laboratory (ORNL) and was supported by grant DE-SC0016478 from the U.S. Department of Energy (DOE) Office of Science, Biological and Environmental Research, Subsurface Biogeochemical Research. ORNL is managed by UT-Battelle LLC for the U.S. DOE under contract number DE-AC05-00OR22725. This work used resources of the Compute and Data Environment for Science (CADES) at Oak Ridge National Laboratory.
Funders | Funder number |
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U.S. Department of Energy | |
Office of Science | |
Biological and Environmental Research | |
Oak Ridge National Laboratory | DE-SC0016478 |
University of Tennessee | |
UT-Battelle | DE-AC05-00OR22725 |