Photo driven homogeneous advanced oxidation coupled to adsorption process for an effective arsenic removal from drinking water

吸附 蒸馏水 化学 水处理 饮用水净化 高级氧化法 同种类的 核化学 人体净化 环境化学 无机化学 色谱法 环境工程 废物管理 催化作用 有机化学 环境科学 物理 热力学 工程类
作者
Anna Melnikova,Antonio Faggiano,M. Visconti,Raffaele Cucciniello,Patrizia Iannece,Natalia Kostryukova,Antonio Proto,Antonino Fiorentino,Luigi Rizzo
出处
期刊:Journal of Environmental Management [Elsevier BV]
卷期号:349: 119568-119568 被引量:3
标识
DOI:10.1016/j.jenvman.2023.119568
摘要

The presence of arsenic (As) in drinking water is a major concern for human health. As(III) is the most toxic water-soluble form and it is hard to remove by separation methods, including adsorption, while As(V) is less toxic and easily removable by adsorption. In this work homogenous photo driven advanced oxidation processes (HP-AOPs), namely UVC/H2O2 and UVC/NaOCl, have been investigated in the oxidation of As(III) (initial concentration of 0.1 mg/L) to As(V) and commercial available adsorbents (γ-Al2O3, Bayoxide E33, MgAl-LDHs and ZnAl-LDHs) were tested for subsequent As(V) removal. UVC/H2O2 (99% of As removal, 19 mg/L of H2O2, 2 min of treatment time) and UVC/NaOCl (99% of As removal, 5.1 mg/L of NaOCl, 2 min of treatment time) were found to be more effective than H2O2 (2% of As removal in the same condition of UVC/H2O2) and NaOCl (6% of As removal in the same condition of UVC/NaOCl), respectively and the optimum operation conditions were identified by response surface methodology (RSM) in distilled water and subsequently confirmed in real drinking water (with differences of less than 1%). UVC/NaOCl was the most suitable process being a good compromise among oxidation efficiency, oxidant dose and treatment time. The best results in terms of subsequent removal of As(V) by adsorption were obtained using ZnAl-LDH (88% in both distilled and drinking water). Accordingly, UVC/NaOCl advanced oxidation coupled to ZnAl-LDH adsorption is the best combination for an effective removal of arsenic from drinking water.

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
林加雄完成签到,获得积分10
1秒前
LYX发布了新的文献求助10
1秒前
麦关发布了新的文献求助10
1秒前
1秒前
1秒前
Chen发布了新的文献求助10
2秒前
GG完成签到,获得积分20
2秒前
彭于晏应助小林采纳,获得10
3秒前
3秒前
mumu完成签到 ,获得积分10
3秒前
3秒前
科研小白完成签到,获得积分10
4秒前
zph14204完成签到,获得积分10
4秒前
谨慎甜瓜发布了新的文献求助10
4秒前
耶椰发布了新的文献求助10
4秒前
南城发布了新的文献求助10
5秒前
6秒前
彭于晏应助翟zhai采纳,获得10
6秒前
bkagyin应助无辜的鼠标采纳,获得10
6秒前
Lcx发布了新的文献求助10
7秒前
canyang发布了新的文献求助10
7秒前
7秒前
打打应助fantexi113采纳,获得10
8秒前
8秒前
马吉克发布了新的文献求助10
8秒前
9秒前
lili爱科研完成签到 ,获得积分10
9秒前
冷傲的丹雪完成签到 ,获得积分10
10秒前
搜集达人应助绝活中投采纳,获得10
10秒前
芝士棒猪发布了新的文献求助10
11秒前
RON发布了新的文献求助10
12秒前
12秒前
王秀妍完成签到,获得积分10
13秒前
wennnnn完成签到,获得积分10
13秒前
spirit完成签到,获得积分10
14秒前
14秒前
gzy关闭了gzy文献求助
15秒前
15秒前
苹果安阳发布了新的文献求助20
15秒前
丘比特应助qianlan采纳,获得10
16秒前
高分求助中
(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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Scientific Writing and Communication: Papers, Proposals, and Presentations 500
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6370356
求助须知:如何正确求助?哪些是违规求助? 8184276
关于积分的说明 17266643
捐赠科研通 5424944
什么是DOI,文献DOI怎么找? 2870073
邀请新用户注册赠送积分活动 1847081
关于科研通互助平台的介绍 1693826