Single-Atom Cu Anchored on a UiO-66 Surface-Enhanced Raman Scattering Sensor for Trace and Rapid Detection of Volatile Organic Compounds

拉曼散射 跟踪(心理语言学) Atom(片上系统) 材料科学 散射 拉曼光谱 微量气体 分析化学(期刊) 化学 环境化学 光学 计算机科学 有机化学 物理 嵌入式系统 哲学 语言学
作者
Yuening Wang,Xiangyu Meng,Wenxiong Shi,Y. G. Xie,Aochi Liu,Lei Xu,Lin Qiu,Xiaoyu Song,Mingjian Zhang,Jiahao Zhang,Jian Yu,Aiguo Wu,Xiaotian Wang,Jie Lin
出处
期刊:Research [American Association for the Advancement of Science]
卷期号:8: 0841-0841 被引量:16
标识
DOI:10.34133/research.0841
摘要

Volatile organic compounds (VOCs) serve as critical biomarkers in exhaled breath for early-stage cancer patients, and their rapid, trace-level detection holds marked implications for cancer screening. Surface-enhanced Raman scattering (SERS) technology demonstrates strong potential for trace VOC gas detection due to its ultra-high sensitivity and immunity to water interference. However, while surface plasmon resonance (SPR)-free semiconductor substrates offer superior spectral stability and selectivity, their sensitivity toward VOC detection remains suboptimal. This study introduces a novel semiconductor-based SERS substrate composed of copper single atoms anchored on UiO-66 (Cu1/UiO-66), achieving a record-low detection limit of 10 parts per billion for VOC gases with a rapid 2-min response time, thereby elevating the gas-sensing performance of SPR-free substrates to unprecedented levels. The exceptional SERS activity originates from the highly delocalized electron properties of single-atomic copper, which effectively facilitates single-atom charge transfer processes. Concurrently, the incorporation of copper single atoms modulates the band structure of UiO-66, substantially enhancing the coupling resonance between the substrate and target molecules. In simulated breath tests mimicking lung cancer patients' exhalations, Cu1/UiO-66 exhibits remarkable VOC recognition capability and robust anti-interference performance. This work pioneers a new paradigm for ultra-sensitive, rapid detection of trace VOCs in exhaled breath, holding substantial promise for early cancer diagnostics and clinical translation.
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
1秒前
1秒前
wanci应助仇建红采纳,获得10
1秒前
4秒前
不安烙发布了新的文献求助10
4秒前
5秒前
6秒前
7秒前
large-ass完成签到,获得积分10
7秒前
8秒前
8秒前
伶俐问薇完成签到,获得积分10
9秒前
顺利中发布了新的文献求助10
10秒前
12秒前
无聊至极完成签到,获得积分10
13秒前
15秒前
一只椰青发布了新的文献求助10
15秒前
千里发布了新的文献求助10
16秒前
16秒前
科研通AI6.2应助自由初夏采纳,获得10
16秒前
Lucas应助PengHu采纳,获得10
16秒前
东山发布了新的文献求助20
17秒前
imica完成签到 ,获得积分10
19秒前
19秒前
20秒前
852应助不安烙采纳,获得10
20秒前
仇建红发布了新的文献求助10
21秒前
一只椰青完成签到,获得积分10
22秒前
吃草草没完成签到 ,获得积分10
22秒前
lyla发布了新的文献求助10
22秒前
lilili发布了新的文献求助10
22秒前
龚成明完成签到,获得积分10
22秒前
ipomoea97完成签到,获得积分20
23秒前
英俊的铭应助落日游云采纳,获得10
23秒前
23秒前
24秒前
lalla发布了新的文献求助10
24秒前
薄饼哥丶发布了新的文献求助10
26秒前
zzz关闭了zzz文献求助
27秒前
29秒前
高分求助中
液晶指向矢仿真分析数据集 6666
GL 2 A method for assessing the in-place cleanability of food processing equipment, Fourth Edition, December 2023 3000
Annie Ernaux: De la perte au corps glorieux 600
Petrology and Plate Tectonics 500
Writing Systems 500
Media Today Mass Communication in a Converging World 9th Edition 400
Understanding Modeling and Simulation of Polymerization Reactions 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 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 6844173
求助须知:如何正确求助?哪些是违规求助? 8551705
关于积分的说明 18194060
捐赠科研通 6196400
什么是DOI,文献DOI怎么找? 3041347
关于科研通互助平台的介绍 2032835
邀请新用户注册赠送积分活动 2018854