Lewis Acid Catalyzed Amide Bond Formation in Covalent Graphene–MOF Hybrids

共价键 石墨烯 催化作用 酰胺 化学 路易斯酸 组合化学 密度泛函理论 材料科学 金属有机骨架 纳米技术 计算化学 有机化学 吸附
作者
Rabindranath Lo,Martin Pykal,Andreas Schneemann,Radek Zbořil,Roland A. Fischer,Kolleboyina Jayaramulu,Michal Otyepka
出处
期刊:Journal of Physical Chemistry C [American Chemical Society]
卷期号:127 (31): 15454-15460 被引量:2
标识
DOI:10.1021/acs.jpcc.3c01821
摘要

Covalent hybrids of graphene and metal-organic frameworks (MOFs) hold immense potential in various technologies, particularly catalysis and energy applications, due to the advantageous combination of conductivity and porosity. The formation of an amide bond between carboxylate-functionalized graphene acid (GA) and amine-functionalized UiO-66-NH2 MOF (Zr6O4(OH)4(NH2-bdc)6, with NH2-bdc2- = 2-amino-1,4-benzenedicarboxylate and UiO = Universitetet i Oslo) is a highly efficient strategy for creating such covalent hybrids. Previous experimental studies have demonstrated exceptional properties of these conductive networks, including significant surface area and functionalized hierarchical pores, showing promise as a chemiresistive CO2 sensor and electrode materials for asymmetric supercapacitors. However, the molecular-level origin of the covalent linkages between pristine MOF and GA layers remains unclear. In this study, density functional theory (DFT) calculations were conducted to elucidate the mechanism of amide bond formation between GA and UiO-66-NH2. The theoretical calculations emphasize the crucial role of zirconium within UiO-66, which acts as a catalyst in the reaction cycle. Both commonly observed hexa-coordinated and less common hepta-coordinated zirconium complexes are considered as intermediates. By gaining detailed insights into the binding interactions between graphene derivatives and MOFs, strategies for tailored syntheses of such nanocomposite materials can be developed.
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
刚刚
刚刚
刚刚
orixero应助玉yu采纳,获得10
刚刚
1秒前
sansan发布了新的文献求助10
1秒前
劉劉完成签到 ,获得积分10
2秒前
酷波er应助阳光的衫采纳,获得10
2秒前
火星上的菲鹰应助hkh采纳,获得10
2秒前
SciGPT应助Ll采纳,获得10
3秒前
buno应助懦弱的安珊采纳,获得10
3秒前
MADKAI发布了新的文献求助10
4秒前
happy完成签到,获得积分10
4秒前
丰知然完成签到,获得积分0
4秒前
马佳凯完成签到,获得积分20
5秒前
徐翩跹发布了新的文献求助10
5秒前
lan发布了新的文献求助10
5秒前
科研民工发布了新的文献求助10
5秒前
小二郎应助夏昼采纳,获得10
6秒前
香蕉觅云应助LIU采纳,获得10
6秒前
sunny完成签到,获得积分10
6秒前
7秒前
所所应助大意的安白采纳,获得10
7秒前
elena发布了新的文献求助10
7秒前
7秒前
Tal完成签到,获得积分10
7秒前
7秒前
8秒前
8秒前
8秒前
8秒前
Orange应助毕业就好采纳,获得10
9秒前
机灵画板发布了新的文献求助10
9秒前
10秒前
10秒前
桐桐应助Elaine采纳,获得10
10秒前
Ymj发布了新的文献求助10
11秒前
JamesPei应助yyf采纳,获得10
11秒前
11秒前
11秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527521
求助须知:如何正确求助?哪些是违规求助? 3107606
关于积分的说明 9286171
捐赠科研通 2805329
什么是DOI,文献DOI怎么找? 1539901
邀请新用户注册赠送积分活动 716827
科研通“疑难数据库(出版商)”最低求助积分说明 709740