Catalysts for Hydrogen Evolution from the [NiFe] Hydrogenase to the Ni2P(001) Surface:  The Importance of Ensemble Effect

氢化酶 化学 催化作用 热稳定性 动力学 金属 活动站点 密度泛函理论 结晶学 无机化学 计算化学 有机化学 物理 量子力学
作者
Ping Liu,José Alberto Rodríguez
出处
期刊:Journal of the American Chemical Society [American Chemical Society]
卷期号:127 (42): 14871-14878 被引量:1205
标识
DOI:10.1021/ja0540019
摘要

Density functional theory (DFT) was employed to investigate the behavior of a series of catalysts used in the hydrogen evolution reaction (HER, 2H(+) + 2e(-) --> H(2)). The kinetics of the HER was studied on the [NiFe] hydrogenase, the [Ni(PS3*)(CO)](1)(-) and [Ni(PNP)(2)](2+) complexes, and surfaces such as Ni(111), Pt(111), or Ni(2)P(001). Our results show that the [NiFe] hydrogenase exhibits the highest activity toward the HER, followed by [Ni(PNP)(2)](2+) > Ni(2)P > [Ni(PS3*)(CO)](1)(-) > Pt > Ni in a decreasing sequence. The slow kinetics of the HER on the surfaces is due to the fact that the metal hollow sites bond hydrogen too strongly to allow the facile removal of H(2). In fact, the strong H-Ni interaction on Ni(2)P(001) can lead to poisoning of the highly active sites of the surface, which enhances the rate of the HER and makes it comparable to that of the [NiFe] hydrogenase. In contrast, the promotional effect of H-poisoning on the HER on Pt and Ni surfaces is relatively small. Our calculations suggest that among all of the systems investigated, Ni(2)P should be the best practical catalyst for the HER, combining the high thermostability of the surfaces and high catalytic activity of the [NiFe] hydrogenase. The good behavior of Ni(2)P(001) toward the HER is found to be associated with an ensemble effect, where the number of active Ni sites is decreased due to presence of P, which leads to moderate bonding of the intermediates and products with the surface. In addition, the P sites are not simple spectators and directly participate in the HER.
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
jayzhang0771发布了新的文献求助10
刚刚
十三应助玩命的亦绿采纳,获得10
1秒前
3秒前
Ashan完成签到,获得积分10
3秒前
卷毛维安完成签到,获得积分10
4秒前
星辰大海应助Cherish采纳,获得10
4秒前
zzl发布了新的文献求助10
4秒前
5秒前
7秒前
7秒前
8秒前
asstman发布了新的文献求助10
8秒前
Lau完成签到,获得积分10
8秒前
9秒前
taozi发布了新的文献求助50
9秒前
自信的蓝天完成签到,获得积分10
10秒前
10秒前
11秒前
wanci应助哈哈采纳,获得10
11秒前
lqr发布了新的文献求助10
12秒前
王旭东发布了新的文献求助10
12秒前
Nemo发布了新的文献求助30
12秒前
NexusExplorer应助EliottLiu采纳,获得10
13秒前
13秒前
YZ_Yue发布了新的文献求助10
14秒前
15秒前
望舒与扶光完成签到,获得积分10
16秒前
asstman完成签到,获得积分20
16秒前
16秒前
Jasper应助李明杰采纳,获得10
17秒前
无输发布了新的文献求助10
18秒前
晚风发布了新的文献求助10
18秒前
汉堡包应助Makubes采纳,获得10
20秒前
传奇3应助yawnzzzz采纳,获得10
20秒前
冷静的不言完成签到,获得积分10
23秒前
24秒前
25秒前
邹友亮完成签到,获得积分10
25秒前
小年不是科研天才完成签到,获得积分10
27秒前
27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
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Rheumatoid arthritis drugs market analysis North America, Europe, Asia, Rest of world (ROW)-US, UK, Germany, France, China-size and Forecast 2024-2028 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 6366234
求助须知:如何正确求助?哪些是违规求助? 8180200
关于积分的说明 17244996
捐赠科研通 5421014
什么是DOI,文献DOI怎么找? 2868296
邀请新用户注册赠送积分活动 1845473
关于科研通互助平台的介绍 1692930