Oxygen-Tailored MoS2 as a High-Performance Substrate for Pressure-Induced Surface-Enhanced Raman Spectroscopy

化学 拉曼光谱 基质(水族馆) 氧气 表面增强拉曼光谱 光谱学 分析化学(期刊) 拉曼散射 色谱法 有机化学 光学 量子力学 海洋学 物理 地质学
作者
Yongxue Chen,Yingju Yang,Zhenyu Wen,Jiajing Yuan,Wenjie Zhu,Hongyan Yu,Huanhuan Sun,Yanping Song,Shuang Liu,Bingbing Liu
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:97 (35): 18965-18974
标识
DOI:10.1021/acs.analchem.5c01581
摘要

Pressure-induced SERS (PI-SERS) has garnered increasing attention due to its applications in enhancing Raman signals under extreme conditions. However, the effective implementation of PI-SERS enhancement and the elucidation of its underlying mechanisms remain open questions. In this study, we introduce an innovative approach utilizing oxygen-tailored MoS2 as SERS substrates, significantly improving PI-SERS performance. This method enables the detection of trace dye molecules at ambient conditions and enhances SERS performance under high-pressure environments. Compared to MoS2, the oxygen-incorporated MoS2 (MoS1.4O1.6) substrate lowers the detection limit to 10-7 M of Rhodamine 6G (R6G) molecules and achieves a maximum enhancement factor (EF) of 1.53 × 106. Density functional theory (DFT) calculations reveal the significant intermolecular charge transfer (CT), which consequently results in pronounced Raman enhancement. The SERS performance of MoO3 substrates exhibits a gradual decrease with increasing pressure, with an abrupt increase observed at 8.49 GPa. This increase can be attributed to the resonant coupling between pressure-induced bandgap narrowing of MoO3 and the energy gap between the highest occupied molecular orbital (HOMO) and the lowest unoccupied molecular orbital (LUMO) of R6G molecules. This study provides new insights into the PI-SERS enhancement mechanism, offering promising perspectives for advancing SERS applications in high-pressure scenarios.
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
1秒前
秦端雨完成签到,获得积分10
1秒前
2秒前
默默千亦完成签到 ,获得积分10
2秒前
6666发布了新的文献求助10
3秒前
小Q发布了新的文献求助10
3秒前
Hello应助清风朗月采纳,获得10
3秒前
小二郎应助云天河采纳,获得10
3秒前
李健应助vxxfa采纳,获得10
4秒前
Dean应助科研通管家采纳,获得50
4秒前
小蘑菇应助科研通管家采纳,获得10
4秒前
4秒前
4秒前
烟花应助科研通管家采纳,获得10
4秒前
4秒前
molihuakai应助科研通管家采纳,获得10
4秒前
4秒前
lhx完成签到,获得积分10
4秒前
4秒前
小二郎应助z张采纳,获得10
4秒前
桐桐应助科研通管家采纳,获得10
4秒前
乐乐应助科研通管家采纳,获得10
5秒前
5秒前
秋风应助科研通管家采纳,获得10
5秒前
爆米花应助科研通管家采纳,获得10
5秒前
无花果应助科研通管家采纳,获得10
5秒前
磊磊磊发布了新的文献求助10
5秒前
大模型应助科研通管家采纳,获得10
5秒前
Smooth发布了新的文献求助10
5秒前
DW应助科研通管家采纳,获得10
5秒前
科目三应助科研通管家采纳,获得10
5秒前
6秒前
6秒前
跳跃文轩完成签到,获得积分10
6秒前
挖挖达瓦完成签到,获得积分10
6秒前
didihe发布了新的文献求助30
6秒前
Ferzera发布了新的文献求助10
6秒前
8秒前
开心的饼干完成签到,获得积分10
8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
Rosenblum, Global Change Biology 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Physiologic specialization in Peronospora manshurica 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 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7777229
求助须知:如何正确求助?哪些是违规求助? 9318314
关于积分的说明 20363610
捐赠科研通 7364312
什么是DOI,文献DOI怎么找? 3318873
关于科研通互助平台的介绍 2466526
邀请新用户注册赠送积分活动 2334092