Electroactive and SERS-Active Ag@Cu2O NP-Programed Aptasensor for Dual-Mode Detection of Tetrodotoxin

材料科学 河豚毒素 对偶(语法数字) 双模 纳米技术 光电子学 生物物理学 电子工程 生物 文学类 工程类 艺术
作者
Jie Yao,Zhao Jin,Yuan Zhao
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:15 (7): 10240-10249 被引量:61
标识
DOI:10.1021/acsami.2c21424
摘要

Dual-mode nanotags with noninterference sensing signals improved the detection accuracy and sensitivity for the applications of tetrodotoxin (TTX) monitoring. Electroactive and surface-enhanced Raman scattering (SERS)-active Ag@Cu2O nanoparticles (NPs) were fabricated and displayed two electrooxidation signals at -0.13 and 0.17 V, attributed to the oxidization process of Cu+ and Ag0, respectively. Ag@Cu2O NPs were also found to exhibit stronger SERS performances than individual Ag NPs. The dielectric Cu2O shell with a large dielectric constant inhibited the attenuation of electromagnetic (EM) waves of Ag NPs, which strengthened the EM fields for SERS enhancement. The electron transfer from Ag to Cu2O to 4-aminothiophenol (4-ATP) also contributed to the SERS performances. Ag@Cu2O NPs were modified by TTX aptamers and assembled with MXene nanosheets (NSs) due to the large surface, good conductivity, and inherent Raman properties. The assemblies showed two-peaked electrooxidation signals and prominent SERS activity. An electrochemical detection curve was established by using the total peak intensity at -0.13 and 0.17 V as detection signals, and a ratiometric SERS detection curve was developed by applying the intensity at 1078 cm-1 (4-ATP) as the detection signal and 730 cm-1 (MXene NSs) as the reference signal. An electrochemical and SERS signal-programed dual-mode aptasensor was proposed for accurate TTX detection, with the limits of detection of 31.6 pg/mL for the electrochemical signal and 38.3 pg/mL for the SERS signal. The rational design of plasmonic metal-semiconductor heterogeneous nanocomposites had important prospects in establishing a multimodal biosensing platform for the quantitative and accurate detection of analytes in complex systems.
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
小周睡不饱完成签到,获得积分10
1秒前
优美的SCI完成签到,获得积分10
4秒前
科研通AI6.1应助松林采纳,获得10
4秒前
脸小呆呆完成签到 ,获得积分10
5秒前
6秒前
松林发布了新的文献求助10
6秒前
丘比特应助lichanshen采纳,获得10
7秒前
外星人完成签到,获得积分10
8秒前
xiong完成签到,获得积分10
9秒前
科研通AI6.2应助泠涣1采纳,获得10
10秒前
西哥完成签到,获得积分10
11秒前
aslink完成签到,获得积分10
11秒前
SciGPT应助伊尔采纳,获得10
11秒前
muyiqiao发布了新的文献求助10
11秒前
meng完成签到,获得积分10
12秒前
李健应助wjp采纳,获得10
13秒前
13秒前
George完成签到,获得积分10
13秒前
Mao完成签到,获得积分10
14秒前
qiqi完成签到,获得积分10
14秒前
松林发布了新的文献求助10
15秒前
柒邪完成签到,获得积分0
15秒前
欣慰士萧发布了新的文献求助50
15秒前
陈住气完成签到,获得积分10
17秒前
18秒前
sunidea完成签到,获得积分10
19秒前
Nc完成签到,获得积分10
19秒前
19秒前
20秒前
20秒前
英俊的铭应助1234采纳,获得10
20秒前
yanglinhai完成签到 ,获得积分10
20秒前
素源完成签到,获得积分10
21秒前
22秒前
fdw完成签到 ,获得积分10
22秒前
22秒前
周周完成签到,获得积分10
23秒前
24秒前
25秒前
泠涣1发布了新的文献求助10
25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
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 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 6355899
求助须知:如何正确求助?哪些是违规求助? 8170705
关于积分的说明 17201742
捐赠科研通 5411923
什么是DOI,文献DOI怎么找? 2864426
邀请新用户注册赠送积分活动 1841925
关于科研通互助平台的介绍 1690226