Molecular-level insight into the role of soil-derived dissolved organic matter composition in regulating photochemical reactivity

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2024-11-07 DOI:10.1016/j.watres.2024.122765
Dong Ren, Biwei Yang, Yinghui Wang, Junjian Wang
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Abstract

Soil-derived dissolved organic matter (DOM) links soil and water carbon pools and is an important source of photochemically produced reactive intermediates (PPRIs) in aquatic environments. Despite its importance, the variations in photochemical reactivity of soil-derived DOM molecules in producing PPRIs across broad geographical regions, and the factors driving these variations, remain unclear. Herein, we resolved the apparent quantum yields (Φ(PPRIs)) of hydroxyl radicals (•OH), singlet oxygen (1O2), and excited triplet-state DOM (3DOM*) for irradiated DOM from 22 representative soil reference materials in China, and linked them to soil pH, mineral weathering degree, and DOM characteristics. Generally, the average Φ(PPRIs) values of the soil-derived DOM followed the order of Φ(3DOM*) (1.67× 10−2) > Φ(1O2) (1.47× 10−2) > Φ(•OH) (7.31× 10−5). The DOM from less weathered soils showed higher Φ(•OH) and Φ(3DOM*) and comparable Φ(1O2) than that from more weathered soils. The differences were mainly regulated by the abundance of humic-, lignin-, tannin-, and aromatic-like compounds, as indicated by the correlation and random forest model analyses. Partial least squares and multiple linear regression analyses identified DOM molecular weight, nominal oxidation state of carbon, and soil chemical index of alteration as effective predictors of •OH yields. Soil chemical index of alteration emerged as a prioritized predictor of 3DOM* yields, while the electron-donating capacity and humic-like compound content of the soil-derived DOM were effective predictors of 1O2 yields. This study advances our understanding of how mineral weathering processes regulate the photochemical reactivity of soil-derived DOM in the aquatic environment across wide geographical regions.

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从分子水平洞察土壤溶解有机物成分在调节光化学反应性中的作用
源于土壤的溶解有机物(DOM)连接着土壤和水的碳库,是水生环境中光化学反应中间产物(PPRIs)的重要来源。尽管其重要性不言而喻,但在广阔的地理区域内,由土壤衍生的 DOM 分子在产生 PPRIs 时的光化学反应活性的变化以及驱动这些变化的因素仍不清楚。在此,我们解析了中国 22 种代表性土壤参考材料中经辐照的 DOM 的羟基自由基(-OH)、单线态氧(1O2)和激发的三重态 DOM(3DOM*)的表观量子产率(Φ(PPRIs)),并将其与土壤 pH 值、矿物风化程度和 DOM 特性联系起来。总体而言,土壤来源DOM的平均Φ(PPRIs)值依次为Φ(3DOM*) (1.67× 10-2) > Φ(1O2) (1.47× 10-2) > Φ(-OH) (7.31× 10-5)。与风化程度较高的土壤相比,风化程度较低的土壤中的 DOM Φ(-OH)和 Φ(3DOM*)较高,Φ(1O2)与之相当。相关性和随机森林模型分析表明,差异主要受腐殖质、木质素、单宁和芳香类化合物含量的调节。偏最小二乘法和多元线性回归分析表明,DOM分子量、碳的名义氧化态和土壤化学变化指数是预测-OH产量的有效指标。土壤化学变化指数是三维OM*产量的优先预测因子,而土壤衍生 DOM 的电子供能能力和类腐殖化合物含量则是 1O2 产量的有效预测因子。这项研究加深了我们对矿物风化过程如何调节广阔地理区域水生环境中土壤衍生 DOM 的光化学反应活性的理解。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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