Iron‐based metal–organic frameworks for rapid and effective phosphorus removal from eutrophic lake water

吸附 富营养化 化学 碳酸氢盐 无机化学 磷酸盐 硫酸盐 水处理 金属 环境化学 营养物 环境工程 有机化学 工程类
作者
Qiying Xie,Qiaoshu Zhou,Yewei Qiu,Y. Chen,Zhiguo Lin,Xiangjun Yang
出处
期刊:Applied Organometallic Chemistry [Wiley]
卷期号:38 (9) 被引量:4
标识
DOI:10.1002/aoc.7606
摘要

Efficient removal of phosphorus from water is an effective means to control lake eutrophication. Two kinds of efficient metal–organic frameworks (MOFs), MIL‐53(Fe) and MIL‐100(Fe), were prepared. These MIL MOFs were used to remove phosphorus from eutrophication lake water. The factors affecting phosphorus adsorption were systematically studied, including adsorption time, adsorption dose, and coexisting ions. The two adsorbents exhibited excellent phosphorus adsorption performance. Within 30 min after adsorption, the phosphorus concentration decreased rapidly from the initial 0.60 to 0.083 mg·L −1 for MIL‐53(Fe) and 0.052 mg·L −1 for MIL‐100(Fe). The maximum capture capacity of MIL‐100(Fe) is 106.99 mg·P·g −1 , while the maximum capture capacity of MIL‐53(Fe) is 103.17 mg·P·g −1 . In addition, iron‐based MOFs also show superior selectivity to phosphate compared with other anions (including nitrate, sulfate, bicarbonate, and carbonate). After adsorption, both adsorbents can be effectively regenerated using NaCl solution, and both materials can be reused four times. After a series of characterization, it was found that the main mechanism for phosphorus adsorption is electrostatic interaction and coordination. Specifically, these two materials can efficiently and rapidly adsorb phosphorus in eutrophic water and exhibit superior removal efficiency. This shows that MIL‐100(Fe) and MIL‐53(Fe) have great application potential in removing excess phosphorus.
最长约 10秒,即可获得该文献文件

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
刚刚
fzj发布了新的文献求助10
1秒前
1秒前
1秒前
语青完成签到,获得积分10
2秒前
3秒前
3秒前
4秒前
4秒前
终陌发布了新的文献求助10
4秒前
4秒前
4秒前
语青发布了新的文献求助10
5秒前
6秒前
6秒前
狗熊完成签到,获得积分10
6秒前
yucy103发布了新的文献求助10
7秒前
7秒前
7秒前
8秒前
克林沙星发布了新的文献求助10
8秒前
CipherSage应助He采纳,获得10
8秒前
9秒前
科研通AI2S应助网络复杂采纳,获得10
9秒前
王嘉尔发布了新的文献求助10
9秒前
我是老大应助nulinuli采纳,获得10
10秒前
英俊的铭应助大导师采纳,获得10
10秒前
科研通AI6应助哈no采纳,获得10
11秒前
12秒前
科研通AI6应助琳666采纳,获得10
12秒前
汉堡包应助江渡采纳,获得10
12秒前
12秒前
深情安青应助Duckseid采纳,获得30
12秒前
12秒前
13秒前
14秒前
高兴的小虾米完成签到,获得积分10
14秒前
15秒前
量子星尘发布了新的文献求助10
15秒前
老狗子完成签到,获得积分10
15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
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Exploring Nostalgia 500
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 500
Advanced Memory Technology: Functional Materials and Devices 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5668670
求助须知:如何正确求助?哪些是违规求助? 4892290
关于积分的说明 15125387
捐赠科研通 4827622
什么是DOI,文献DOI怎么找? 2584752
邀请新用户注册赠送积分活动 1538503
关于科研通互助平台的介绍 1496841