已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

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
刚刚
酸菜鱼完成签到,获得积分10
2秒前
大刘大刘泊完成签到 ,获得积分10
4秒前
jxjsyf完成签到 ,获得积分10
4秒前
研友_nqa7On发布了新的文献求助10
5秒前
Penn完成签到,获得积分10
7秒前
8秒前
科研通AI6.1应助huba采纳,获得10
8秒前
8秒前
TIGun发布了新的文献求助10
9秒前
12秒前
13秒前
酸菜鱼发布了新的文献求助30
14秒前
16秒前
Tom完成签到 ,获得积分10
18秒前
18秒前
fang发布了新的文献求助10
19秒前
852应助研友_nqa7On采纳,获得10
19秒前
张宏磊发布了新的文献求助10
20秒前
21秒前
Quuuackk完成签到,获得积分10
21秒前
冷HorToo完成签到 ,获得积分10
23秒前
24秒前
吞吞完成签到 ,获得积分10
29秒前
weirdo发布了新的文献求助10
29秒前
发呆的小号完成签到 ,获得积分10
33秒前
伍声痕完成签到,获得积分10
33秒前
33秒前
吖咪h完成签到 ,获得积分10
34秒前
张宏磊完成签到,获得积分10
34秒前
英姑应助科研通管家采纳,获得10
35秒前
大模型应助科研通管家采纳,获得10
35秒前
ding应助科研通管家采纳,获得10
35秒前
研友_VZG7GZ应助科研通管家采纳,获得10
35秒前
英姑应助科研通管家采纳,获得10
35秒前
嘉心糖应助科研通管家采纳,获得30
35秒前
hahaha完成签到 ,获得积分10
36秒前
勤奋完成签到 ,获得积分10
36秒前
科研通AI6.2应助fang采纳,获得10
36秒前
weirdo完成签到,获得积分10
38秒前
高分求助中
卤化钙钛矿人工突触的研究 2000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
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 6495054
求助须知:如何正确求助?哪些是违规求助? 8291966
关于积分的说明 17694375
捐赠科研通 5588405
什么是DOI,文献DOI怎么找? 2916410
邀请新用户注册赠送积分活动 1893297
关于科研通互助平台的介绍 1752303