Unified Modeling Approach for Quantifying the Proton and Metal Binding Ability of Soil Dissolved Organic Matter.

Soil dissolved organic matter (DOM) is composed of a mass of complex organic compounds in soil solutions and significantly affects a range of (bio)geochemical processes in soil environment. However, how the chemical complexity (i.e., heterogeneity and chemodiversity) of soil DOM molecules affects their proton and metal binding ability remains unclear, which limits our ability for predicting the environmental behavior of DOM and metals. In this study, we developed a unified modeling approach for quantifying the proton and metal binding ability of soil DOM based on Cu titration experiments, Fourier transform ion cyclotron resonance mass spectrometry data, and molecular modeling method. Although soil DOM samples from different regions have enormously heterogeneous and diverse properties, we found that the molecules of soil DOM can be divided into three representative groups according to their Cu binding capacity. Based on the molecular models for individual molecular groups and the relative contributions of each group in each soil DOM, we were able to further develop molecular models for all soil DOM to predict their molecular properties and proton and metal binding ability. Our results will help to develop mechanistic models for predicting the reactivity of soil DOM from various sources.

[1]  F. Rosario‐Ortiz,et al.  Inferring Ecosystem Function from Dissolved Organic Matter Optical Properties: A Critical Review , 2022, Environmental science & technology.

[2]  Q. Shi,et al.  Lake Chemodiversity Driven by Natural and Anthropogenic Factors. , 2022, Environmental science & technology.

[3]  R. Dahlgren,et al.  Molecular signatures of soil-derived dissolved organic matter constrained by mineral weathering , 2022, Fundamental research.

[4]  Yanguo Teng,et al.  Chemodiversity of dissolved organic matter in cadmium-contaminated paddy soil amended with different materials. , 2022, The Science of the total environment.

[5]  G. Jiang,et al.  Data-Driven Machine Learning in Environmental Pollution: Gains and Problems. , 2022, Environmental science & technology.

[6]  Z. Dang,et al.  Coupled Sorption and Oxidation of Soil Dissolved Organic Matter on Manganese Oxides: Nano/Sub-nanoscale Distribution and Molecular Transformation. , 2022, Environmental science & technology.

[7]  W. Peijnenburg,et al.  Potential Application of Machine-Learning-Based Quantum Chemical Methods in Environmental Chemistry. , 2022, Environmental science & technology.

[8]  Zhenqing Shi,et al.  Linking molecular composition to proton and copper binding ability of fulvic acid: A theoretical modeling approach based on FT-ICR-MS analysis , 2021 .

[9]  Y. Bai,et al.  Novel Insights into the Molecular-Level Mechanism Linking the Chemical Diversity and Copper Binding Heterogeneity of Biochar-Derived Dissolved Black Carbon and Dissolved Organic Matter. , 2021, Environmental science & technology.

[10]  C. Oostenbrink,et al.  Modeling Soil Organic Matter: Changes in Macroscopic Properties due to Microscopic Changes , 2021 .

[11]  S. Hodgkins,et al.  A History of Molecular Level Analysis of Natural Organic Matter by Fticr Mass Spectrometry and The Paradigm Shift in Organic Geochemistry. , 2020, Mass spectrometry reviews.

[12]  G. McKay,et al.  Computational Assessment of the Three-Dimensional Configuration of Dissolved Organic Matter Chromophores and Influence on Absorption Spectra. , 2020, Environmental science & technology.

[13]  C. Oostenbrink,et al.  Vienna soil organic matter modeler 2 (VSOMM2). , 2020, Journal of molecular graphics & modelling.

[14]  W. Wieder,et al.  Persistence of soil organic carbon caused by functional complexity , 2020, Nature Geoscience.

[15]  Z. Dang,et al.  Chemodiversity of soil dissolved organic matter. , 2020, Environmental science & technology.

[16]  M. Shibukawa,et al.  Advanced Gel Electrophoresis Techniques Reveal Heterogeneity of Humic Acids Based on Molecular Weight Distributions of Kinetically Inert Cu2+-Humate Complexes. , 2019, Environmental science & technology.

[17]  T. Crowther,et al.  Climate warming alters subsoil but not topsoil carbon dynamics in alpine grassland , 2019, Global change biology.

[18]  M. Lange,et al.  Persistence of dissolved organic matter explained by molecular changes during its passage through soil , 2019, Nature Geoscience.

[19]  Z. Dang,et al.  Molecular characteristics, proton dissociation properties, and metal binding properties of soil organic matter: A theoretical study. , 2019, The Science of the total environment.

[20]  Yong-guan Zhu,et al.  The chemodiversity of paddy soil dissolved organic matter correlates with microbial community at continental scales , 2018, Microbiome.

[21]  Bin Zhou,et al.  The role of major functional groups: Multi-evidence from the binding experiments of heavy metals on natural fulvic acids extracted from lake sediments. , 2018, Ecotoxicology and environmental safety.

[22]  Zhenqing Shi,et al.  Predicting Heavy Metal Partition Equilibrium in Soils: Roles of Soil Components and Binding Sites , 2018 .

[23]  M. Tfaily,et al.  Advanced Molecular Techniques Provide New Rigorous Tools for Characterizing Organic Matter Quality in Complex Systems , 2018, Journal of Geophysical Research: Biogeosciences.

[24]  J. Xiong,et al.  Proton and Copper Binding to Humic Acids Analyzed by XAFS Spectroscopy and Isothermal Titration Calorimetry. , 2018, Environmental science & technology.

[25]  D. S. Smith,et al.  Metal (Pb, Cd, and Zn) Binding to Diverse Organic Matter Samples and Implications for Speciation Modeling. , 2018, Environmental science & technology.

[26]  R. Spencer,et al.  Unifying Concepts Linking Dissolved Organic Matter Composition to Persistence in Aquatic Ecosystems. , 2018, Environmental science & technology.

[27]  Xiaomin Li,et al.  Molecular Chemodiversity of Dissolved Organic Matter in Paddy Soils. , 2018, Environmental science & technology.

[28]  C. Oostenbrink,et al.  Molecular Dynamics Simulations of the Standard Leonardite Humic Acid: Microscopic Analysis of the Structure and Dynamics. , 2017, Environmental science & technology.

[29]  K. Williams,et al.  Thermodynamically controlled preservation of organic carbon in floodplains , 2017 .

[30]  R. Chu,et al.  Identification of Mercury and Dissolved Organic Matter Complexes Using Ultrahigh Resolution Mass Spectrometry , 2017 .

[31]  Zhang Lin,et al.  Kinetics of Heavy Metal Dissociation from Natural Organic Matter: Roles of the Carboxylic and Phenolic Sites. , 2016, Environmental science & technology.

[32]  P. Christie,et al.  Molecular-Scale Investigation with ESI-FT-ICR-MS on Fractionation of Dissolved Organic Matter Induced by Adsorption on Iron Oxyhydroxides. , 2016, Environmental science & technology.

[33]  L. Tranvik,et al.  Persistence of dissolved organic matter in lakes related to its molecular characteristics. , 2015 .

[34]  Hanqing Yu,et al.  FTIR and synchronous fluorescence heterospectral two-dimensional correlation analyses on the binding characteristics of copper onto dissolved organic matter. , 2015, Environmental science & technology.

[35]  R. Sleighter,et al.  Molecular composition and biodegradability of soil organic matter: a case study comparing two new England forest types. , 2014, Environmental science & technology.

[36]  L. Tranvik,et al.  Chemodiversity of dissolved organic matter in lakes driven by climate and hydrology , 2014, Nature Communications.

[37]  Suen-Zone Lee,et al.  Predicting PbII adsorption on soils: the roles of soil organic matter, cation competition and iron (hydr)oxides , 2013 .

[38]  Richard F. Carbonaro,et al.  Estimation of stability constants for metal–ligand complexes containing neutral nitrogen donor atoms with applications to natural organic matter , 2013 .

[39]  F. Liu,et al.  Lead binding to soil fulvic and humic acids: NICA-Donnan modeling and XAFS spectroscopy. , 2013, Environmental science & technology.

[40]  Stephen Lofts,et al.  Humic Ion-Binding Model VII: a revised parameterisation of cation-binding by humic substances , 2011 .

[41]  E. Smolders,et al.  Metal complexation properties of freshwater dissolved organic matter are explained by its aromaticity and by anthropogenic ligands. , 2011, Environmental science & technology.

[42]  Richard F. Carbonaro,et al.  Linear Free Energy Relationships for Metal-Ligand Complexation: Bidentate Binding to Negatively-Charged Oxygen Donor Atoms. , 2007, Geochimica et cosmochimica acta.

[43]  Richard F. Carbonaro,et al.  Distribution of proton dissociation constants for model humic and fulvic acid molecules. , 2009, Environmental science & technology.

[44]  R. Álvarez-Puebla,et al.  Theoretical study on fulvic acid structure, conformation and aggregation. A molecular modelling approach. , 2006, The Science of the total environment.

[45]  I Thornton,et al.  The solid-solution partitioning of heavy metals (Cu, Zn, Cd, Pb) in upland soils of England and Wales. , 2003, Environmental pollution.

[46]  A. Marshall,et al.  Exact masses and chemical formulas of individual Suwannee River fulvic acids from ultrahigh resolution electrospray ionization Fourier transform ion cyclotron resonance mass spectra. , 2003, Analytical chemistry.

[47]  Ji‐Hyung Park,et al.  Controls on the dynamics of dissolved organic matter in soils: a review. , 2000 .

[48]  W. Meyer-Ilse,et al.  Imaging of humic substance macromolecular structures in water and soils , 1999, Science.

[49]  D. Kinniburgh,et al.  Metal ion binding to humic substances: application of the non-ideal competitive adsorption model. , 1995, Environmental science & technology.

[50]  Lionel A. Carreira,et al.  A RIGOROUS TEST FOR SPARC'S CHEMICAL REACTIVITY MODELS : ESTIMATION OF MORE THAN 4300 IONIZATION PKAS , 1995 .

[51]  E. Tipping,et al.  A unifying model of cation binding by humic substances , 1992 .