Plasmon-driven photocatalytic molecular transformations on metallic nanostructure surfaces: mechanistic insights gained from plasmon-enhanced Raman spectroscopy

表面等离子共振 纳米结构 局域表面等离子体子 表面等离子体子 拉曼散射 表面增强拉曼光谱 纳米颗粒 纳米棒 可见光谱 胶体金
作者
Kexun Chen,Hui Wang
出处
期刊:Molecular Systems Design and Engineering [Royal Society of Chemistry]
卷期号:6 (4): 250-280 被引量:6
标识
DOI:10.1039/d1me00016k
摘要

Optically excited plasmonic nanostructures exhibit unique capabilities to catalyze interfacial chemical transformations of molecules adsorbed on their surfaces in a regioselective manner through anomalous reaction pathways that are inaccessible under thermal conditions. The mechanistic complexity of plasmon-driven photocatalysis is intimately tied to a series of photophysical and photochemical processes associated with the radiative and non-radiative decay of localized plasmon resonances in metallic nanostructures. Plasmon-enhanced Raman spectroscopy combines ultrahigh detection sensitivity with unique time-resolving and molecular finger-printing capabilities, ideal for detailed kinetic and mechanistic studies of photocatalytic interfacial transformations of molecular adsorbates residing in the plasmonic hot spots. Through systematic case studies of several representative reactions, we demonstrate how plasmon-enhanced Raman spectroscopy can be judiciously utilized as a unique in situ spectroscopic tool to fine-resolve the detailed molecule-transforming processes on the surfaces of optically excited plasmonic nanostructures in real time during the photocatalytic reactions. We further epitomize the mechanistic insights gained from in situ plasmon-enhanced Raman spectroscopic measurements into several central materials design principles that can be employed to guide the rational optimization of the photocatalyst structures and the nanostructure-molecule interfaces for plasmon-mediated surface chemistry.

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
儒雅的杨发布了新的文献求助10
1秒前
大气的莆完成签到,获得积分10
1秒前
1秒前
2秒前
kobe0842完成签到,获得积分10
2秒前
2秒前
2秒前
3秒前
3秒前
3秒前
3秒前
小白t73完成签到 ,获得积分10
4秒前
4秒前
喽喽发布了新的文献求助10
5秒前
喽喽发布了新的文献求助10
5秒前
6秒前
7秒前
1nine完成签到 ,获得积分10
7秒前
埃克斯瑞完成签到,获得积分10
7秒前
喽喽发布了新的文献求助10
8秒前
喽喽发布了新的文献求助10
8秒前
喽喽发布了新的文献求助10
9秒前
喽喽发布了新的文献求助10
9秒前
喽喽发布了新的文献求助10
9秒前
喽喽发布了新的文献求助10
9秒前
Owen应助wuhu采纳,获得10
9秒前
9秒前
11秒前
斯文败类应助科研通管家采纳,获得10
11秒前
11秒前
彭于晏应助科研通管家采纳,获得10
11秒前
Mic应助科研通管家采纳,获得10
12秒前
核桃应助枫叶采纳,获得30
12秒前
JamesPei应助科研通管家采纳,获得10
12秒前
12秒前
共享精神应助a海w采纳,获得30
12秒前
香蕉觅云应助科研通管家采纳,获得10
12秒前
Loney完成签到 ,获得积分10
12秒前
大模型应助科研通管家采纳,获得10
12秒前
天天快乐应助科研通管家采纳,获得10
12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
Römisch-Germanische Forschungen 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Green Fire Retardants for Polymeric Materials 400
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 7616831
求助须知:如何正确求助?哪些是违规求助? 9192216
关于积分的说明 19699298
捐赠科研通 7189352
什么是DOI,文献DOI怎么找? 3271934
关于科研通互助平台的介绍 2434711
邀请新用户注册赠送积分活动 2266926