Great increasing N content in Fe-embedded carbon nanotubes to effectively activate persulfate for radical and nonradical degradation of organic contaminants

过硫酸盐 催化作用 碳纳米管 降级(电信) 化学 金属 电子转移 碳纤维 化学工程 双金属片 光化学 材料科学 有机化学 纳米技术 复合数 复合材料 工程类 电信 计算机科学
作者
Junjie Zhang,Wenxi Wang,Wenran Gao,Yuncheng Cai,Wei Wang,Fatang Tan,Xinyun Wang,Xueliang Qiao,Po Keung Wong
出处
期刊:Separation and Purification Technology [Elsevier BV]
卷期号:330: 125429-125429 被引量:10
标识
DOI:10.1016/j.seppur.2023.125429
摘要

N atoms in carbonaceous catalysts are usually considered as the key active centers for catalytic/activated reactions. However, the raise of N content in metal-carbonaceous composites is still a great challenge. In this work, the N content in Fe-embedded carbon nanotubes (Fe@CNTs) was greatly enriched via a Zn-N linkage process, giving Fe-embedded N-rich carbon nanotubes (Fe@NRCNTs). The N content of Fe@NRCNTs was up to 7.43 atom%, reaching the highest value among other Fe-embedded carbonaceous materials. Zn-N linkage could induce more active C sites in g-C3N4 intermediate for N-doping and inhibit the release of N-containing gases, resulting in N enrichment during the formation of Fe@NRCNTs. More importantly, the as-obtained Fe@NRCNTs exhibited excellent performance towards persulfate activation for tetracycline degradation, and its rate constant was four times higher than that of Fe@CNTs. The high N content provided more active site for nonradical activation, and also accelerated the electron transfer between Fe and CNTs, beneficial for radical activation. Furthermore, Fe@NRCNTs could work in a very wide pH range (2.2–10.3), accompanying with high adaptability and reusability. This work provided a feasible strategy to increase N content in metal-embedded carbonaceous materials for highly efficient radical and nonradical persulfate activation.
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
小二郎应助马不停蹄采纳,获得10
1秒前
大聪明完成签到,获得积分10
1秒前
背后归尘完成签到,获得积分10
1秒前
zzcres发布了新的文献求助10
1秒前
yan发布了新的文献求助10
6秒前
123关闭了123文献求助
6秒前
7秒前
bxyyy应助cqnuly采纳,获得10
7秒前
Kevin Li完成签到,获得积分10
8秒前
大七完成签到 ,获得积分10
9秒前
10秒前
爆米花应助22222采纳,获得30
12秒前
13秒前
皮卡丘完成签到 ,获得积分0
13秒前
14秒前
Hello应助sjie采纳,获得10
14秒前
自信的坤完成签到,获得积分10
14秒前
HXH完成签到,获得积分10
15秒前
xny发布了新的文献求助10
17秒前
17秒前
张成协发布了新的文献求助10
18秒前
111完成签到,获得积分20
19秒前
21秒前
蔡6705发布了新的文献求助10
22秒前
领导范儿应助wwmmyy采纳,获得10
23秒前
24秒前
量子星尘发布了新的文献求助10
24秒前
Song0558发布了新的文献求助10
24秒前
24秒前
内向乾完成签到,获得积分10
25秒前
雨下整夜发布了新的文献求助10
26秒前
hehe发布了新的文献求助10
26秒前
28秒前
29秒前
31秒前
31秒前
31秒前
bxyyy应助cqnuly采纳,获得10
31秒前
Inory007完成签到,获得积分10
32秒前
YJ完成签到,获得积分10
32秒前
高分求助中
The Mother of All Tableaux Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 2400
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
Cognitive Neuroscience: The Biology of the Mind (Sixth Edition) 1000
Optimal Transport: A Comprehensive Introduction to Modeling, Analysis, Simulation, Applications 800
Official Methods of Analysis of AOAC INTERNATIONAL 600
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 588
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 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 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3958051
求助须知:如何正确求助?哪些是违规求助? 3504213
关于积分的说明 11117431
捐赠科研通 3235582
什么是DOI,文献DOI怎么找? 1788318
邀请新用户注册赠送积分活动 871204
科研通“疑难数据库(出版商)”最低求助积分说明 802511