Enhanced Adsorption of Hydroxyl- and Amino-Substituted Aromatic Chemicals to Nitrogen-Doped Multiwall Carbon Nanotubes: A Combined Batch and Theoretical Calculation Study

吸附 碳纳米管 杂原子 水溶液 化学 接受者 化学工程 纳米材料 电子受体 有机化学 无机化学 光化学 材料科学 纳米技术 戒指(化学) 工程类 物理 凝聚态物理
作者
Linzi Zuo,Yong Guo,Xiao Li,Heyun Fu,Xiaolei Qu,Shourong Zheng,Cheng Gu,Dongqiang Zhu,Pedro J. J. Alvarez
出处
期刊:Environmental Science & Technology [American Chemical Society]
卷期号:50 (2): 899-905 被引量:61
标识
DOI:10.1021/acs.est.5b04980
摘要

A large effort is being made to develop nanosorbents with tunable surface chemistry for enhanced adsorption affinity and selectivity toward target organic contaminants. Heteroatom N-doped multiwall carbon nanotubes (N-MCNT) were synthesized by chemical vapor deposition of pyridine and were further investigated for the adsorptive removal of several aromatic chemicals varying in electronic donor and acceptor ability from aqueous solutions using a batch technique. Compared with commercial nondoped multiwall carbon nanotubes (MCNT), N-MCNT had similar specific surface area, morphology, and pore-size distribution but more hydrophilic surfaces and more surface defects due to the doping of graphitic and pyridinic N atoms. N-MCNT exhibited enhanced adsorption (2-10 folds) for the π-donor chemicals (2-naphthol and 1-naphthalmine) at pH ∼6 but similar adsorption for the weak π-donor chemical (naphthalene) and even lower adsorption (up to a 2-fold change) for the π-acceptor chemical (1,3-dinitrobenzene). The enhanced adsorption of 2-naphthol and 1-naphthalmine to N-MCNT was mainly attributed to the favored π-π electron-donor-acceptor (EDA) interaction between the π-donor adsorbate molecule and the polarized N-heterocyclic aromatic ring (π-acceptor) on N-MCNT. The proposed adsorption enhancement mechanisms were further tested through the pH effects on adsorption and the density function theory (DFT) calculation. The results show for the first time that the adsorptive interaction of π-donor aromatic compounds with carbon nanomaterials can be facilitated by N-doping.
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
1秒前
Tuniverse_发布了新的文献求助10
1秒前
victor完成签到,获得积分10
1秒前
受伤的灭男完成签到,获得积分10
1秒前
1秒前
zkai完成签到,获得积分10
2秒前
2秒前
天真之桃完成签到 ,获得积分10
3秒前
sty完成签到,获得积分10
3秒前
阴暗蘑菇完成签到 ,获得积分10
3秒前
3秒前
3秒前
3秒前
3秒前
3秒前
4秒前
欣慰阑悦完成签到,获得积分10
4秒前
干净的马里奥完成签到,获得积分10
4秒前
Lucas应助Ykook采纳,获得10
5秒前
糊涂小子0629应助呜呜采纳,获得10
5秒前
武林小鸟完成签到,获得积分10
5秒前
乐空思应助OK采纳,获得25
5秒前
6秒前
万能图书馆应助蜜桃乌龙采纳,获得10
6秒前
Hillock发布了新的文献求助10
7秒前
陈二毛完成签到,获得积分20
7秒前
7秒前
123完成签到 ,获得积分10
7秒前
沉默乌发布了新的文献求助50
8秒前
共享精神应助小北采纳,获得10
8秒前
小梁砖家完成签到,获得积分10
8秒前
8秒前
9秒前
9秒前
9秒前
打打应助DONG采纳,获得30
9秒前
10秒前
10秒前
dddd完成签到 ,获得积分10
10秒前
11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
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Child and Adolescent Mental Health 600
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Römisch-Germanische Forschungen 500
Electric machines: theory, operating applications, and controls 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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7599854
求助须知:如何正确求助?哪些是违规求助? 9175999
关于积分的说明 19647356
捐赠科研通 7175874
什么是DOI,文献DOI怎么找? 3268511
关于科研通互助平台的介绍 2433017
邀请新用户注册赠送积分活动 2262063