Advanced SERS Platform for Uniform and Reliable Molecular Detection

罗丹明6G 化学 拉曼散射 信号(编程语言) 纳米孔 纳米技术 拉曼光谱 分析化学(期刊) 分子 光学 色谱法 材料科学 计算机科学 物理 有机化学 程序设计语言
作者
Tiying Zhu,Zhiyang Pei,Xiaofei Zhao,Jing Yu,Baoyuan Man,Ping‐Heng Tan,Zhen Li,Chao Zhang
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:96 (52): 20612-20621 被引量:6
标识
DOI:10.1021/acs.analchem.4c05301
摘要

Signal uniformity is crucial for reliable and quantifiable surface-enhanced Raman scattering (SERS) measurements. However, challenges arise due to the continuous impact of localized hottest spots and the coffee ring effect on signal uniformity. In response to this, we developed a platform featuring a hierarchical structure with Ag nanopores and microbowls (HANM) and incorporated superhydrophobic/superhydrophilic (SHB/SHL) treatments. This design enhances the hottest spot area, ensuring a strong and consistent electromagnetic field while mitigating the coffee ring effect, which leads to an even analyte distribution. This was demonstrated by analyzing rhodamine 6G (R6G, 4 μL, 10-9 M to 10-12 M) molecules at different concentrations. The 2D mapping of the SERS signal intensities from the entire dried droplet exhibited excellent uniformity. The relative standard deviation of the intensities from 200 randomly selected points was calculated to be just 3.81%, laying the foundation for the quantitative detection capability. Additionally, through bisphenol A (BPA) detection in water samples collected from five different locations, the HANM-SHB/SHL structure consistently detected BPA with a uniform signal intensity across all water samples. In conclusion, we proposed a dual-function SERS platform featuring an improved hottest spot region and the ability to avoid the coffee ring effect, offering precise and reliable molecular analysis.
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
sun发布了新的文献求助10
1秒前
顺利舟完成签到,获得积分10
1秒前
Hello应助明理毛衣采纳,获得10
1秒前
慕青应助书羽采纳,获得10
1秒前
1秒前
妞妞发布了新的文献求助30
2秒前
2秒前
linman发布了新的文献求助10
2秒前
李嘉诚完成签到 ,获得积分10
2秒前
等待的博完成签到,获得积分10
3秒前
3秒前
wanci应助咖喱采纳,获得10
3秒前
ting发布了新的文献求助10
3秒前
3秒前
轻松板栗发布了新的文献求助10
3秒前
3秒前
3秒前
周小鱼发布了新的文献求助10
3秒前
小二郎应助泡泡邮递员采纳,获得10
4秒前
无殇发布了新的文献求助10
4秒前
一修完成签到,获得积分10
4秒前
YeMa完成签到,获得积分10
4秒前
今后应助Yolo采纳,获得10
4秒前
爆米花应助ccc采纳,获得10
5秒前
思源应助暴躁土拨鼠采纳,获得10
5秒前
6秒前
6秒前
简单访卉发布了新的文献求助10
6秒前
霸气乐荷完成签到 ,获得积分10
6秒前
hxj完成签到,获得积分10
6秒前
7秒前
7秒前
selina发布了新的文献求助10
7秒前
7秒前
苹果完成签到,获得积分10
7秒前
Alice完成签到,获得积分10
7秒前
8秒前
Dihxxxx发布了新的文献求助10
8秒前
molihuakai应助标致善愁采纳,获得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
The Multiple Self-States Drawing Technique 600
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Rosenblum, Global Change Biology 500
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 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 7768753
求助须知:如何正确求助?哪些是违规求助? 9311946
关于积分的说明 20326464
捐赠科研通 7353879
什么是DOI,文献DOI怎么找? 3315828
关于科研通互助平台的介绍 2464872
邀请新用户注册赠送积分活动 2330405