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Xu DM, Wen XC, Dai DS, Shi YX, Jiang SJ, Chi WW, Liu YK, Zhou L, Zhu XQ. Potential influence mechanism of mineral-organic matter (OM) interactions on the mobility of toxic elements in Pb/Zn smelter contaminated soils. JOURNAL OF HAZARDOUS MATERIALS 2025; 484:136671. [PMID: 39637785 DOI: 10.1016/j.jhazmat.2024.136671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2024] [Revised: 11/24/2024] [Accepted: 11/25/2024] [Indexed: 12/07/2024]
Abstract
To date, how complex mineral-organic matter (OM) interactions affect the migration and mobility of potentially toxic elements (PTEs) in soils is highly understudied. This work mainly focused on the occurrence characteristics of PTEs and their close association with the composition characterization of mineral elements and dissolved OM (DOM) molecules. The results revealed that quartz (20.20%), albite (15.60%) and biotite (14.37%) were the dominant minerals in soils. CHO molecules were most abundant, accounting for 58.41%. The unsaturated hydrocarbons with both low and high O/C ratios were the dominant organic compounds, accounting for 21.56% and 36.73%, respectively. Sequential extraction results indicated that most Cd was hosted in carbonate minerals, while considerable amounts of As, Cu, Mn, Pb and Zn were bound to Fe/Mn oxyhydroxides. The elemental distribution characteristics displayed the coexistence of As, Cd, Cu, Mn, Pb and Zn with O, S, Al, Si, Ca and Fe. Fe oxyhydroxides might preferentially retain the unsaturated hydrocarbons with low O/C ratio and phenols. Furthermore, Fe oxide-organic composites had more significant impacts on Mn than As, Cd, Cu, Pb and Zn mobility. Overall, these findings would provide important insights into how mineral-OM interactions played the key roles on PTEs mobility in soils.
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Affiliation(s)
- Da-Mao Xu
- School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China; State Key Laboratory of Pollution Control and Resources Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
| | - Xiong-Chao Wen
- Guangxi Normal University, Guilin 541004, Guangxi, China
| | - Dong-Sheng Dai
- School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China
| | - Yu-Xiang Shi
- State Key Laboratory of Pollution Control and Resources Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.
| | - Shao-Jun Jiang
- Institute of Agricultural Resources and Environment, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, Guangdong, China
| | - Wei-Wei Chi
- Xuzhou Environment Monitoring Center, Xuzhou 221116, Jiangsu, China
| | - Yi-Kai Liu
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, IRD, Université Gustave Eiffel, ISTerre, 38000, France
| | - Lai Zhou
- School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China
| | - Xue-Qiang Zhu
- School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China
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