Molecular modelling of sorption processes of a range of diverse small organic molecules in Leonardite humic acid. (20th August 2019)

• Record Type: Journal Article
• Authors: Petrov, Drazen; Tunega, Daniel; Gerzabek, Martin H.; Oostenbrink, Chris
• Is Part Of: European journal of soil science. Volume 71:Number 5(2020)
• Page Start: 831
• Page End: 844
• Publication Date: 2019-08-20
• Subjects: humic substance -- modelling -- molecular dynamics -- organic matter -- soil pollution -- SOM -- SOM dynamics -- sorption -- sorptivity -- structure; Soil science -- Periodicals; 631.4
• DOI: 10.1111/ejss.12868
• Languages: English
• ISSNs: 1351-0754

Abstract

Abstract: 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.