Ye Qianting, Ding Yang, Ding Zecong, Li Rong, Shi Zhenqing
The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, School of Environment and Energy, South China University of Technology, Guangzhou, Guangdong510006, People's Republic of China.
Environ Sci Technol. 2023 Jan 10;57(1):831-841. doi: 10.1021/acs.est.2c08482. Epub 2022 Dec 27.
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.
土壤溶解有机 matter (DOM) 由土壤溶液中的大量复杂有机化合物组成,并显著影响土壤环境中的一系列(生物)地球化学过程。然而,土壤 DOM 分子的化学复杂性(即异质性和化学多样性)如何影响其质子和金属结合能力仍不清楚,这限制了我们预测 DOM 和金属环境行为的能力。在本研究中,我们基于铜滴定实验、傅里叶变换离子回旋共振质谱数据和分子建模方法,开发了一种统一的建模方法来量化土壤 DOM 的质子和金属结合能力。尽管来自不同地区的土壤 DOM 样品具有极大的异质性和多样的性质,但我们发现土壤 DOM 分子可以根据其铜结合能力分为三个代表性组。基于各个分子组的分子模型以及每个组在每种土壤 DOM 中的相对贡献,我们能够进一步开发所有土壤 DOM 的分子模型,以预测其分子性质以及质子和金属结合能力。我们的结果将有助于开发机理模型,以预测来自各种来源的土壤 DOM 的反应性。