Crystalline phase regulates transformation and methylation of mercury sulfide nanoparticles in paddy systems

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2025-07-01 Epub Date: 2025-03-13 DOI:10.1016/j.watres.2025.123496
Yunyun Li , Hong Li , Xujun Liang , Guoming Lin , Diandou Xu , Yuxi Gao , Lizhong Zhu , Jiating Zhao
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Abstract

Mercury sulfide nanoparticles (HgSNPs) represent an important source of bioavailable mercury (Hg) for microbial methylation in paddy systems, depending on their size and crystalline phases. However, little is known about the phase compositions of HgSNPs in Hg-contaminated paddy fields with dynamically changed redox conditions, their transformation, and methylation potential. Applying transmission electron microscopy (TEM) and synchrotron radiation X-ray absorption spectroscopy (SR-XAS), we found β-HgSNPs as the predominant Hg species in newly contaminated areas, whereas α-HgSNPs dominated in paddies near mining areas. Subsequent incubation assays indicated minimal phase transformation between α-HgSNPs and β-HgSNPs in simulated paddy systems, suggesting their high stability under natural conditions. Compared to α-HgSNPs, β-HgSNPs exhibited a higher methylation potential, as evidenced by greater production of methylmercury (MeHg) and elevated levels of Sn(II)-reducible Hg(II), a proxy for bioavailable Hg. Further experiments and density functional theory (DFT) calculations reveal that the higher bioavailability of β-HgSNPs is closely linked to their crystalline phases and higher atomic binding energy for Hg2+ adsorption, as compared to α-HgSNPs. This study, for the first time, unravels the significance of the crystalline phase in governing the bioavailability of HgSNPs in paddy fields and provides novel insights into the ecological risk of HgS in wetland-like ecosystems.

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结晶相调控水稻系统中硫化汞纳米颗粒的转化和甲基化
硫化汞纳米颗粒(HgSNPs)是水稻系统中微生物甲基化生物可利用汞(Hg)的重要来源,这取决于它们的大小和结晶相。然而,在动态变化的氧化还原条件下,汞污染稻田中HgSNPs的相组成、转化和甲基化电位的变化尚不清楚。通过透射电镜(TEM)和同步辐射x射线吸收光谱(SR-XAS)分析发现,在新污染地区,β-HgSNPs占主导地位,而在矿区附近的稻田中,α-HgSNPs占主导地位。随后的培养实验表明,α-HgSNPs和β-HgSNPs在模拟水稻系统中相变最小,表明它们在自然条件下具有较高的稳定性。与α-HgSNPs相比,β-HgSNPs表现出更高的甲基化电位,甲基汞(MeHg)的生成量更高,Sn(II)-可还原汞(II)的含量也更高。进一步的实验和密度功能理论(DFT)计算表明,β-HgSNPs具有更高的生物利用度,与α-HgSNPs相比,β-HgSNPs的晶体相和更高的吸附Hg2+的原子结合能密切相关。本研究首次揭示了水田中hgsnp的结晶阶段在控制生物可利用性方面的重要性,并为湿地类生态系统中HgS的生态风险提供了新的见解。
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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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