Incorporating amino acids functionalized graphene oxide nanosheets into Pebax membranes for CO2 separation

石墨烯 氧化物 化学 材料科学 纳米技术 化学工程 有机化学 高分子化学 工程类 生物化学
作者
Zan Chen,Peng Zhang,Hong Wu,Sihan Sun,Xinda You,Biao Yuan,Jie Hou,Cuijia Duan,Zhongyi Jiang
出处
期刊:Separation and Purification Technology [Elsevier BV]
卷期号:288: 120682-120682 被引量:56
标识
DOI:10.1016/j.seppur.2022.120682
摘要

• Amino acids functionalized GO nanosheets were mixed with Pebax to fabricate MMMs. • Amine and carboxyl groups intensified facilitated mechanism and solution mechanism. • DFT calculation revealed the interaction between gases molecules and amino acids. • Arg@GO/Pebax (0.4) membrane exhibited high CO 2 /N 2 separation performance. Graphene oxide (GO) nanosheets, as versatile nanofillers, can create two-dimensional passageways in mixed matrixed membranes (MMMs), yet the flexible manipulation of GO nanosheets is hampered by the lack of appropriate chemical functional groups. In this study, we chose amino acids(arginine, histidine and cysteine)to modify GO nanosheets by direct crosslinking and the loading content of amino acids on GO nanosheets was more than 20%. The modified GO nanosheets were then filled into the Pebax matrix to prepare MMMs. The CO 2 separation performance of MMMs with different nanofillers was compared and different amino acids modified GO nanosheets could fortify the solution mechanism for CO 2 in the order of arginine@GO > histidine@GO > cysteine@GO. Density functional theory (DFT) calculations were conducted to further elucidate the interaction mechanism between gases molecules and amino acids. Under dry state, the complexation energy (Ec) between CO 2 and amine groups was similar to the Ec between CO 2 and carboxylic groups in amino acids. In particular, 0.4 wt% arg@GO nanosheets rendered the membranes with promising CO 2 permeance of 169 Barrer and CO 2 /N 2 selectivity of 70, and surpassed the 2008 upper bound. The amino acids modified GO nanosheets may enlighten an alternative way to explore CO 2 transfer mechanism within MMMs and fabricate high separation performance membranes.
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
在九月发布了新的文献求助10
1秒前
清脆晓丝发布了新的文献求助10
1秒前
所所应助跳跃的煜祺采纳,获得10
1秒前
2秒前
2秒前
ice_cream发布了新的文献求助10
2秒前
3秒前
七zzz完成签到,获得积分20
3秒前
香蕉觅云应助求助采纳,获得10
4秒前
汉堡包应助stt1011采纳,获得10
4秒前
4秒前
mable完成签到,获得积分20
4秒前
4秒前
失眠忆曼发布了新的文献求助10
5秒前
5秒前
Hello应助极品小亮采纳,获得10
5秒前
小月完成签到,获得积分10
6秒前
6秒前
LY完成签到,获得积分10
6秒前
FBI911完成签到,获得积分0
7秒前
7秒前
科研通AI6.3应助WENBENDING采纳,获得10
7秒前
英仔完成签到,获得积分10
7秒前
7秒前
mable发布了新的文献求助10
7秒前
李爱国应助英勇初曼采纳,获得10
8秒前
内向的思天完成签到,获得积分10
8秒前
8秒前
摸摸头完成签到 ,获得积分10
8秒前
gg完成签到,获得积分10
9秒前
jackbauer发布了新的文献求助10
9秒前
孟一帆发布了新的文献求助10
9秒前
9秒前
里里关注了科研通微信公众号
9秒前
文献狗完成签到,获得积分10
10秒前
Lynth_iota发布了新的文献求助10
10秒前
王志霞发布了新的文献求助10
10秒前
猪猪侠123发布了新的文献求助20
10秒前
天天快乐应助小周小周采纳,获得10
11秒前
田様应助无私纹采纳,获得10
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
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
Quality by Design - An Indispensable Approach to Accelerate Biopharmaceutical Product Development 800
Pulse width control of a 3-phase inverter with non sinusoidal phase voltages 777
Signals, Systems, and Signal Processing 610
Research Methods for Applied Linguistics 500
Chemistry and Physics of Carbon Volume 15 500
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 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 6396588
求助须知:如何正确求助?哪些是违规求助? 8211951
关于积分的说明 17397017
捐赠科研通 5450051
什么是DOI,文献DOI怎么找? 2880682
邀请新用户注册赠送积分活动 1857316
关于科研通互助平台的介绍 1699577