Gas-Phase Synthesis of Metal Olefins: Plasma-Assisted Methane Dehydrogenation and C═C Bond Formation

脱氢 化学 甲烷 甲烷氧化偶联 金属 键能 光化学 分析化学(期刊) 无机化学 分子 催化作用 有机化学
作者
Xiaoyan Sun,Qiuhao Yi,Chaonan Cui,Wen Gan,Zhixun Luo
出处
期刊:Journal of Physical Chemistry A [American Chemical Society]
卷期号:126 (7): 1123-1131 被引量:2
标识
DOI:10.1021/acs.jpca.1c10012
摘要

Methane dehydrogenation and C-C coupling under mild conditions are very important but challenging in chemistry. Utilizing a customized time of flight mass spectrometer combined with a magnetron sputtering (MagS) cluster source, here, we have conducted a study on the reactions of methane with small silver and copper clusters simply by introducing methane in argon as the working gas for sputtering. Interestingly, a series of [M(CnH2n)]+ (M = Cu and Ag; n = 2-12) clusters were observed, indicating high-efficiency methane dehydrogenation in such a plasma-assisted chamber system. Density functional theory calculations find the lowest energy structures of the [M(CnH2n)]+ series pertaining to olefins indicative of both C-H bond activation of methane and C-C bond coupling. We analyzed the interactions involved in the [Cu(CnH2n)]+ and [Ag(CnH2n)]+ (n = 1-6) clusters and demonstrated the reaction coordinates for the "Cu+ + CH4" and "Ag+ + CH4." It is illustrated that the presence of a second methane molecule enables us to reduce the necessary energy of dehydrogenation, which concurs with the experimental observation of an absence of the metal carbine products Cu+CH2 and Ag+CH2, which are short-lived. Also, it is elucidated that the higher-lying excitation states of Cu+ and Ag+ ions enable more favorable dehydrogenation process and C═C bond formation, shedding light on the plasma assistance of the essence.

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
Jasper应助蓝天采纳,获得10
1秒前
浅蓝色发布了新的文献求助10
2秒前
Farer_xs完成签到,获得积分10
5秒前
无风风发布了新的文献求助10
7秒前
8秒前
完美世界应助Tsuki采纳,获得10
8秒前
大海完成签到,获得积分10
10秒前
翠T发布了新的文献求助10
13秒前
深情安青应助ZHANGMANLI0422采纳,获得10
13秒前
orixero应助xiaoliu333采纳,获得10
14秒前
蛋卷完成签到,获得积分10
15秒前
17秒前
17秒前
17秒前
19秒前
MelanMiao完成签到,获得积分10
20秒前
fveie发布了新的文献求助10
21秒前
阿媛呐发布了新的文献求助10
22秒前
22秒前
23秒前
acow发布了新的文献求助10
24秒前
汉堡包应助暴躁的棉花糖采纳,获得10
25秒前
25秒前
ZXCVB完成签到,获得积分10
25秒前
无花果应助Polylactic采纳,获得10
26秒前
xiaoliu333发布了新的文献求助10
27秒前
Zongxin完成签到,获得积分10
27秒前
CipherSage应助nn采纳,获得10
28秒前
28秒前
科研通AI6.4应助zimengzhu采纳,获得30
30秒前
31秒前
bkagyin应助HuiJN采纳,获得10
31秒前
奋斗的绝悟完成签到,获得积分10
31秒前
32秒前
英雷完成签到,获得积分10
33秒前
zzz发布了新的文献求助10
33秒前
Ava应助鲁班大神采纳,获得10
33秒前
大力的灵雁应助zhangkx23采纳,获得10
35秒前
35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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
信任代码:AI 时代的传播重构 450
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 6357233
求助须知:如何正确求助?哪些是违规求助? 8171923
关于积分的说明 17206118
捐赠科研通 5412863
什么是DOI,文献DOI怎么找? 2864794
邀请新用户注册赠送积分活动 1842233
关于科研通互助平台的介绍 1690490