Nanoscale Zero-Valent Iron Decorated on Bentonite/Graphene Oxide for Removal of Copper Ions from Aqueous Solution

膨润土 水溶液 石墨烯 氧化物 零价铁 材料科学 纳米尺度 离子 扫描电子显微镜 化学工程 核化学 氧化铁 无机化学 纳米技术 化学 冶金 复合材料 物理化学 有机化学 吸附 工程类
作者
Jicheng Shao,Xiaoniu Yu,Min Zhou,Xiaoqing Cai,Yu Chen
出处
期刊:Materials [Multidisciplinary Digital Publishing Institute]
卷期号:11 (6): 945-945 被引量:26
标识
DOI:10.3390/ma11060945
摘要

The removal efficiency of Cu(II) in aqueous solution by bentonite, graphene oxide (GO), and nanoscale iron decorated on bentonite (B-nZVI) and nanoscale iron decorated on bentonite/graphene oxide (GO-B-nZVI) was investigated. The results indicated that GO-B-nZVI had the best removal efficiency in different experimental environments (with time, pH, concentration of copper ions, and temperature). For 16 hours, the removal efficiency of copper ions was 82% in GO-B-nZVI, however, it was 71% in B-nZVI, 26% in bentonite, and 18% in GO. Bentonite, GO, B-nZVI, and GO-B-nZVI showed an increased removal efficiency of copper ions with the increase of pH under a certain pH range. The removal efficiency of copper ions by GO-B-nZVI first increased and then fluctuated slightly with the increase of temperature, while B-nZVI and bentonite increased and GO decreased slightly with the increase of temperature. Lorentz-Transmission Electron Microscope (TEM) images showed the nZVI particles of GO-B-nZVI dispersed evenly with diameters ranging from 10 to 86.93 nm. Scanning electron microscope (SEM) images indicated that the nanoscale iron particles were dispersed evenly on bentonite and GO with no obvious agglomeration. The qe,cal (73.37 mg·g−1 and 83.89 mg·g−1) was closer to the experimental value qe,exp according to the pseudo-second-order kinetic model. The qm of B-nZVI and GO-B-nZVI were 130.7 mg·g−1 and 184.5 mg·g−1 according to the Langmuir model.

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
melosy发布了新的文献求助50
刚刚
1秒前
KSung发布了新的文献求助10
1秒前
KSung发布了新的文献求助10
1秒前
1秒前
KSung发布了新的文献求助10
1秒前
hanjresearch发布了新的文献求助10
1秒前
KSung发布了新的文献求助10
1秒前
KSung发布了新的文献求助10
2秒前
2秒前
KSung发布了新的文献求助10
2秒前
2秒前
面面完成签到,获得积分10
2秒前
KSung发布了新的文献求助10
2秒前
刘二狗发布了新的文献求助10
2秒前
KSung发布了新的文献求助10
2秒前
KSung发布了新的文献求助10
2秒前
看的眼睛都瞎了完成签到,获得积分10
2秒前
KSung发布了新的文献求助10
2秒前
KSung发布了新的文献求助10
2秒前
KSung发布了新的文献求助100
2秒前
KSung发布了新的文献求助10
2秒前
catalyst326完成签到,获得积分10
2秒前
脑洞疼应助ruby采纳,获得10
2秒前
3秒前
胖豆完成签到,获得积分10
3秒前
科研通AI6.1应助rockyshi采纳,获得10
3秒前
玩命的善若完成签到,获得积分10
4秒前
4秒前
4秒前
AA18236931952发布了新的文献求助10
5秒前
乐乐应助墨羽岚枫采纳,获得10
5秒前
5秒前
完美世界应助bean采纳,获得10
5秒前
微辣不加香菜完成签到,获得积分10
6秒前
万能图书馆应助qthlym采纳,获得10
6秒前
catalyst326发布了新的文献求助10
6秒前
yu完成签到 ,获得积分10
7秒前
7秒前
CodeCraft应助蜂鸟5156采纳,获得10
7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
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
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
How to Design and Conduct an Experiment and Write a Lab Report: Your Complete Guide to the Scientific Method (Step-by-Step Study Skills) 333
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 6363118
求助须知:如何正确求助?哪些是违规求助? 8176938
关于积分的说明 17230975
捐赠科研通 5418081
什么是DOI,文献DOI怎么找? 2866938
邀请新用户注册赠送积分活动 1844174
关于科研通互助平台的介绍 1691767