Unveiling the mechanisms behind high CO2 adsorption by the selection of suitable ionic liquids incorporated into a ZIF-8 metal organic framework: A computational approach

离子液体 吸附 金属有机骨架 选择(遗传算法) 材料科学 环境科学 金属 化学工程 环境化学 化学 生化工程 计算机科学 有机化学 人工智能 催化作用 工程类
作者
Abdelkarim Chaouiki,Maryam Chafiq,Young Gun Ko
出处
期刊:Environmental Research [Elsevier BV]
卷期号:246: 118112-118112 被引量:63
标识
DOI:10.1016/j.envres.2024.118112
摘要

There is growing focus on the crucial task of effectively capturing carbon dioxide (CO2) from the atmosphere to mitigate environmental consequences. Metal-organic frameworks (MOFs) have been used to replace many conventional materials in gas separation, and the incorporation of ionic liquids (ILs) into porous MOFs has shown promise as a new technique for improving CO2 capture and separation. However, the driving force underlying the electronic modulation of MOF nanostructures and the mechanisms behind their high CO2 adsorption remain unclear. This study reports the effect of encapsulating different imidazolium ILs in porous ZIF-8, to clarify the adsorption mechanism of CO2 using density functional theory (DFT)-based approaches. For this purpose, a range of anions, including bis(trifluoromethylsulfonyl)imide [NTf2], methanesulfonate [MeSO3], and acetate [AC], were combined with the 1-ethyl-3-methylimidazolium [EMIM]+ cation. [EMIM]+-based ILs@ZIF-8 composites were computationally investigated to identify suitable materials for CO2 capture. First, the intermolecular and intramolecular interactions between [EMIM]+ and different anions were examined in detail, and their effects on CO2 adsorption were explored. Subsequently, the integration of these ILs into the ZIF-8 solid structure was studied to reveal how their interactions influenced the CO2 adsorption behavior. Our results demonstrate that the incorporation of ILs strongly affects the adsorption capability of CO2, which is highly dependent on the nature of the ILs inside the ZIF-8 framework. DFT simulations further confirmed that the incorporation of ILs into ZIF-8 led to superior CO2 capture compared to isolated ILs and pristine ZIF-8. This improvement was attributed to the mutual interactions between the ILs and ZIF-8, which effectively fine-tuned CO2 adsorption within the composite structure. This understanding may act as a general guide for gaining more insight into the interfacial interactions between ILs and ZIFs structures and how these molecular-level interactions can help predict the selection of ILs for CO2 adsorption and separation, thereby addressing environmental challenges with greater precision and effectiveness.
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
infinity发布了新的文献求助10
刚刚
ding应助lvsehx采纳,获得10
1秒前
科研通AI6.2应助圈圈采纳,获得10
1秒前
1秒前
打打应助HAO采纳,获得10
2秒前
7ohnny完成签到,获得积分10
2秒前
Hello应助木子Lee采纳,获得10
2秒前
情怀应助贾舒涵采纳,获得20
2秒前
3秒前
快快显灵完成签到,获得积分10
3秒前
Ttttsyu发布了新的文献求助10
3秒前
balabala发布了新的文献求助10
3秒前
3秒前
Owen应助科研通管家采纳,获得10
3秒前
4秒前
芒果椰椰发布了新的文献求助10
4秒前
4秒前
xjcy应助科研通管家采纳,获得10
4秒前
4秒前
xjcy应助科研通管家采纳,获得10
4秒前
4秒前
上官若男应助科研通管家采纳,获得10
4秒前
SciGPT应助科研通管家采纳,获得10
4秒前
4秒前
4秒前
xjcy应助科研通管家采纳,获得10
4秒前
4秒前
隐形曼青应助科研通管家采纳,获得10
4秒前
4秒前
ai化学发布了新的文献求助10
4秒前
4秒前
桐桐应助科研通管家采纳,获得10
4秒前
5秒前
CipherSage应助科研通管家采纳,获得10
5秒前
xjcy应助科研通管家采纳,获得10
5秒前
乐乐应助糊涂的大白采纳,获得10
5秒前
爱学习发布了新的文献求助10
5秒前
王林发布了新的文献求助10
5秒前
6秒前
科研通AI6.2应助cos采纳,获得10
6秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
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 7238959
求助须知:如何正确求助?哪些是违规求助? 8864242
关于积分的说明 18698073
捐赠科研通 6909817
什么是DOI,文献DOI怎么找? 3194730
关于科研通互助平台的介绍 2366962
邀请新用户注册赠送积分活动 2169353