Suppr超能文献

乙醇强化硫酸盐还原柱试验中酸性矿山排水重金属去除的地球化学模拟

Geochemical Modeling of Heavy Metal Removal from Acid Mine Drainage in an Ethanol-Supplemented Sulfate-Reducing Column Test.

作者信息

Oyama Keishi, Hayashi Kentaro, Masaki Yusei, Hamai Takaya, Fuchida Shigeshi, Takaya Yutaro, Tokoro Chiharu

机构信息

Faculty of Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan.

Japan Organization for Metals and Energy Security (JOGMEC), 2-10-1 Toranomon, Minato-ku, Tokyo 105-0001, Japan.

出版信息

Materials (Basel). 2023 Jan 18;16(3):928. doi: 10.3390/ma16030928.

Abstract

A passive treatment process using sulfate-reducing bacteria (SRB) is known to be effective in removing heavy metals from acid mine drainage (AMD), though there has been little discussion of the mechanism involved to date. In this work, a sulfate-reducing column test was carried out using supplementary ethanol as an electron donor for microorganisms, and the reaction mechanism was examined using geochemical modeling and X-ray absorption fine structure (XAFS) analysis. The results showed that Cu was readily removed from the AMD on the top surface of the column (0-0.2 m), while Zn and Cd depletion was initiated in the middle of the column (0.2-0.4 m), where sulfide formation by SRB became noticeable. Calculations by a developed geochemical model suggested that ethanol decomposition by aerobic microbes contributed to the reduction of Cu, while sulfide produced by SRB was the major cause of Zn and Cd removal. XAFS analysis of column residue detected ZnS, ZnSO (ZnS oxidized by atmospheric exposure during the drying process), and CuCO, thus confirming the validity of the developed geochemical model. Based on these results, the application of the constructed geochemical model to AMD treatment with SRB could be a useful approach in predicting the behavior of heavy metal removal.

摘要

利用硫酸盐还原菌(SRB)的被动处理工艺在从酸性矿山排水(AMD)中去除重金属方面是有效的,尽管迄今为止对其中涉及的机制鲜有讨论。在这项工作中,进行了硫酸盐还原柱试验,使用补充乙醇作为微生物的电子供体,并使用地球化学建模和X射线吸收精细结构(XAFS)分析来研究反应机制。结果表明,铜在柱体顶部表面(0 - 0.2米)很容易从AMD中去除,而锌和镉的消耗在柱体中部(0.2 - 0.4米)开始,在那里SRB形成硫化物变得明显。通过建立的地球化学模型计算表明,好氧微生物分解乙醇有助于铜的还原,而SRB产生的硫化物是锌和镉去除的主要原因。对柱体残渣的XAFS分析检测到了硫化锌、碱式硫酸锌(在干燥过程中因大气暴露而被氧化的硫化锌)和碳酸铜,从而证实了所建立的地球化学模型的有效性。基于这些结果,将构建的地球化学模型应用于SRB处理AMD可能是预测重金属去除行为的一种有用方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5aed/9917845/db7f6fc847b2/materials-16-00928-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验