Green preparation of nano-zero-valent iron-copper bimetals for nitrate removal: Characterization, reduction reaction pathway, and mechanisms

零价铁 X射线光电子能谱 傅里叶变换红外光谱 氧化还原 硝酸盐 无机化学 化学 核化学 化学工程 有机化学 工程类 吸附
作者
Jingxi Zhang,Yifan Niu,Yu Zhou,Shaohua Ju,Yongwan Gu
出处
期刊:Advanced Powder Technology [Elsevier]
卷期号:33 (11): 103807-103807 被引量:14
标识
DOI:10.1016/j.apt.2022.103807
摘要

In this study, green tea was used as a reducing agent to prepare GT-nZVI/Cu nano-zero-valent iron-copper bimetallic materials for nitrate degradation. Through single factor experiments, the process conditions for nitrate removal by GT-nZVI/Cu were optimized. By measuring the contents of nitrate, nitrite, and ammonia nitrogen in the reaction products, the reduction pathway of nitrate-nitrogen in GT-nZVI/Cu was studied. In addition, the removal mechanism of nitrate by GT-nZVI/Cu was also analyzed by scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS), X-ray photoelectron spectroscopy (XPS), Fourier transform infrared spectroscopy (FTIR) and kinetic experiments. The results showed that the size of GT-nZVI/Cu particles is between 50 and 70 nm, and they are irregular spherical shapes. The polyphenol antioxidants in green tea make GT-nZVI/Cu have stronger antioxidant properties, and the denitration products are mostly nitrogen. The addition of copper ions accelerates the reaction time and reaction rate. The maximum removal rate of nitrate by GT-nZVI/Cu within 75 min can be up to 99 %. After three repeated experiments, the removal rate of GT-nZVI/Cu can still reach 70 %. The removal mechanism of GT-nZVI/Cu has enhanced nitrate removal through complexation, redox, and adsorption co-precipitation. This study provides a new route for the green preparation and efficient application of nZVI.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
充电宝应助橙味汽水winter采纳,获得10
刚刚
一叶扁舟发布了新的文献求助10
1秒前
1秒前
贰拾完成签到,获得积分10
2秒前
3秒前
劲秉应助欣喜谷槐采纳,获得10
5秒前
风间琉璃完成签到,获得积分20
5秒前
lulu完成签到,获得积分10
5秒前
田様应助一叶扁舟采纳,获得10
6秒前
6秒前
6秒前
6秒前
调研昵称发布了新的文献求助10
7秒前
7秒前
madison发布了新的文献求助10
8秒前
chaohuiwang完成签到,获得积分10
8秒前
笑点低的白莲完成签到,获得积分10
8秒前
Mere完成签到,获得积分10
9秒前
Noah3发布了新的文献求助10
10秒前
笨笨鲜花完成签到,获得积分10
10秒前
蹦蹦发布了新的文献求助10
11秒前
wwho_O完成签到 ,获得积分10
12秒前
dungaway发布了新的文献求助10
13秒前
chaohuiwang发布了新的文献求助10
14秒前
15秒前
16秒前
16秒前
17秒前
小糯米发布了新的文献求助10
17秒前
晚来天欲雪完成签到 ,获得积分10
18秒前
orixero应助橘子撞月球采纳,获得10
19秒前
YCG发布了新的文献求助10
19秒前
调皮的手机完成签到,获得积分20
20秒前
雍雍完成签到 ,获得积分10
20秒前
21秒前
为与传发布了新的文献求助10
22秒前
风笛发布了新的文献求助10
22秒前
蹦蹦完成签到,获得积分10
24秒前
舒适的映安完成签到,获得积分10
24秒前
科研通AI2S应助chaohuiwang采纳,获得10
25秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2000
Very-high-order BVD Schemes Using β-variable THINC Method 1200
BIOLOGY OF NON-CHORDATES 1000
进口的时尚——14世纪东方丝绸与意大利艺术 Imported Fashion:Oriental Silks and Italian Arts in the 14th Century 800
Autoregulatory progressive resistance exercise: linear versus a velocity-based flexible model 550
The Collected Works of Jeremy Bentham: Rights, Representation, and Reform: Nonsense upon Stilts and Other Writings on the French Revolution 320
Generative AI in Higher Education 300
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3355360
求助须知:如何正确求助?哪些是违规求助? 2979245
关于积分的说明 8689538
捐赠科研通 2660856
什么是DOI,文献DOI怎么找? 1456896
科研通“疑难数据库(出版商)”最低求助积分说明 674497
邀请新用户注册赠送积分活动 665381