Deep resource utilization of hazardous arsenic-alkali slag: Thermodynamic analysis, mechanism investigation and process optimization

熔渣(焊接) 砷酸盐 碱金属 危险废物 化学 杂质 无机化学 材料科学 废物管理 冶金 工程类 有机化学
作者
Jia Tian,Wei Sun,Haisheng Han,Yufeng Wang,Zhiwu Huang,Xingfei Zhang
出处
期刊:Journal of Environmental Management [Elsevier BV]
卷期号:355: 120440-120440
标识
DOI:10.1016/j.jenvman.2024.120440
摘要

The best solution to address environmental pollution caused by arsenic-containing hazardous waste is to prepare high-purity elemental arsenic from such waste. The key to this approach lies in the efficient separation of arsenic from various impurities. This paper presents a viable solution for producing high-purity elemental arsenic from arsenic-alkali slag, and the keylies in utilizing the selective precipitation of magnesium ammonium arsenate (MgNH4AsO4) to achieve efficient separation of arsenic from alkali, antimony, and other impurities. Thermodynamic analysis and hydrometallurgical condition experiments indicate that in complex alkaline arsenic-containing solutions, over 90% of arsenic components can selectively precipitate in the form of MgNH4AsO4. The content of arsenic in the resulting precipitate reaches approximately 30%, while the content of antimony is below 0.1%. This achieves efficient enrichment of arsenic and preliminary separation of impurities in complex arsenic-alkali slag. Thermodynamic analysis and pyrometallurgical condition experiments demonstrate that the precipitate of MgNH4AsO4 can be reduced to elemental arsenic with an arsenic content reaching 99.85%, and an antimony content as low as 0.05%. This achieves a profound separation of arsenic from impurities. Based on the research presented in this paper, a production line was established that enables the deep resource utilization of arsenic-alkali slag.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
踏实一德应助shan_mq采纳,获得10
1秒前
大模型应助11213a采纳,获得10
2秒前
3秒前
3秒前
美好傲之发布了新的文献求助10
4秒前
丘比特应助称心的安萱采纳,获得10
5秒前
甜蜜的手套应助wa采纳,获得10
5秒前
Yuh完成签到 ,获得积分10
6秒前
NexusExplorer应助如意的锦程采纳,获得10
7秒前
Jinnianlun完成签到,获得积分10
8秒前
lixinglei应助薛小飞采纳,获得20
9秒前
10秒前
11秒前
JOJHOAS完成签到,获得积分20
11秒前
12秒前
饿哭了塞完成签到 ,获得积分10
14秒前
英姑应助安详的觅风采纳,获得10
15秒前
如意的锦程完成签到,获得积分20
15秒前
17秒前
molihuakai应助科研通管家采纳,获得10
17秒前
molihuakai应助科研通管家采纳,获得10
17秒前
欣灵应助科研通管家采纳,获得10
17秒前
科目三应助科研通管家采纳,获得30
17秒前
整齐的外套应助橙啊程采纳,获得10
17秒前
田様应助科研通管家采纳,获得10
17秒前
Hello应助科研通管家采纳,获得10
18秒前
所所应助科研通管家采纳,获得10
18秒前
寒江雪发布了新的文献求助10
18秒前
fengziyuan应助科研通管家采纳,获得20
18秒前
善良海豚发布了新的文献求助10
18秒前
所所应助科研通管家采纳,获得10
18秒前
v0id应助科研通管家采纳,获得10
18秒前
18秒前
Ava应助科研通管家采纳,获得10
18秒前
李健应助科研通管家采纳,获得10
19秒前
大个应助xiaowei采纳,获得10
19秒前
Jasper应助科研通管家采纳,获得30
19秒前
天天快乐应助科研通管家采纳,获得10
19秒前
19秒前
万能图书馆应助cccccc采纳,获得10
19秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Bend stiffness of submarine cables – an experimental and numerical investigation 5000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7540531
求助须知:如何正确求助?哪些是违规求助? 9124871
关于积分的说明 19494785
捐赠科研通 7137165
什么是DOI,文献DOI怎么找? 3258078
关于科研通互助平台的介绍 2425439
邀请新用户注册赠送积分活动 2246157