Highly Porous Thin-Layer g-C3N4 Nanosheets with Enhanced Adsorption Capacity

吸附 材料科学 阳离子聚合 石墨氮化碳 化学工程 罗丹明B 三聚氰胺 热稳定性 罗丹明6G 剥脱关节 纳米片 多孔性 纳米技术 有机化学 化学 分子 复合材料 高分子化学 光催化 石墨烯 工程类 催化作用
作者
Sofia Stefa,Maria Griniezaki,Marinos Dimitropoulos,Georgios Paterakis,Costas Galiotis,G. Kiriakidis,Emmanuel Klontzas,Michalis Konsolakis,Vassiliοs Binas
出处
期刊:ACS applied nano materials [American Chemical Society]
卷期号:6 (3): 1732-1743 被引量:51
标识
DOI:10.1021/acsanm.2c04632
摘要

Herein, the physicochemical properties and enhanced adsorption capacity of highly porous thin-layer graphitic carbon nitride (g-C3N4) nanosheets (CNNs) in relation to the separation of dyes are investigated. Cationic and anionic dyes with similar sizes are adopted to study the adsorption and separation properties of graphitic carbon nitride. Highly porous g-C3N4 nanosheets were synthesized via the direct thermal polycondensation of melamine followed by a thermal exfoliation. A comparative study of bulk g-C3N4 and porous thin-film g-C3N4 nanosheets was carried out. The results revealed the formation of highly porous g-C3N4 nanosheets with a well-oriented structure and adequate chemical stability. Porous thin-layer g-C3N4 nanosheets possess a high surface area of 212 m2/g as compared to 10 m2/g of the bulk material. Interestingly, adsorption experiments employing both cationic (methylene blue, rhodamine 6G, and rhodamine B) and anionic (methyl orange, eosin Y) dyes, as well as their mixtures, revealed that g-C3N4 nanosheets exhibited excellent selective adsorption capacity toward cationic dyes, which is followed by very short equilibrium times (e.g., 100% adsorption of MB within 10 min). The present findings can be well interpreted in terms of improved textural and structural properties of CNNs in conjunction to the dispersion and electrostatic interactions between the different dyes and the surface of CNNs. The experimental findings are further corroborated by means of periodic self-consistent charge density functional tight binding theoretical calculations.
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
XXX完成签到,获得积分10
2秒前
TATA发布了新的文献求助10
4秒前
李健应助小猫撸桨采纳,获得10
4秒前
5秒前
bkagyin应助zZZ采纳,获得10
6秒前
糯米饭发布了新的文献求助10
7秒前
ding应助Cherie77采纳,获得30
7秒前
情怀应助dspan采纳,获得30
7秒前
爆米花应助无情愫采纳,获得10
7秒前
sxy发布了新的文献求助20
8秒前
8秒前
魏冉完成签到,获得积分10
8秒前
wuji2077发布了新的文献求助10
8秒前
alchol应助李木槿采纳,获得10
8秒前
飞鱼完成签到 ,获得积分10
8秒前
9秒前
9秒前
英姑应助L_采纳,获得10
10秒前
顾矜应助小郭最帅采纳,获得10
10秒前
阿宝发布了新的文献求助10
10秒前
Jocelin应助gf采纳,获得10
11秒前
14秒前
NexusExplorer应助TATA采纳,获得10
14秒前
14秒前
情声声发布了新的文献求助10
15秒前
16秒前
17秒前
zilu发布了新的文献求助30
17秒前
17秒前
在水一方应助Cherie77采纳,获得10
18秒前
科学养兔发布了新的文献求助10
18秒前
19秒前
21秒前
细心歌曲发布了新的文献求助10
21秒前
xuxu213发布了新的文献求助10
21秒前
22秒前
23秒前
思源应助Rena采纳,获得10
25秒前
wanci应助gao采纳,获得10
26秒前
红烧驱逐舰完成签到,获得积分10
26秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 400
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 6491453
求助须知:如何正确求助?哪些是违规求助? 8289366
关于积分的说明 17687996
捐赠科研通 5582684
什么是DOI,文献DOI怎么找? 2915024
邀请新用户注册赠送积分活动 1892177
关于科研通互助平台的介绍 1749927