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
achen完成签到,获得积分20
1秒前
田様应助六六采纳,获得30
2秒前
传奇3应助荼蘼如雪采纳,获得10
3秒前
5秒前
初景发布了新的文献求助10
5秒前
郜鑫鑫完成签到 ,获得积分10
5秒前
LK发布了新的文献求助10
6秒前
9秒前
11秒前
tuil发布了新的文献求助10
11秒前
11秒前
烟花应助ai幸采纳,获得10
13秒前
13秒前
achen发布了新的文献求助10
14秒前
Pearson完成签到,获得积分10
14秒前
吞吞发布了新的文献求助10
15秒前
荼蘼如雪发布了新的文献求助10
16秒前
qyc发布了新的文献求助10
16秒前
摔碎玻璃瓶完成签到,获得积分10
16秒前
17秒前
ne发布了新的文献求助10
18秒前
共享精神应助llll采纳,获得10
18秒前
科研通AI2S应助谢大喵采纳,获得10
18秒前
东方元语应助谢大喵采纳,获得20
18秒前
东方元语应助谢大喵采纳,获得20
19秒前
无花果应助谢大喵采纳,获得10
19秒前
比奇堡第一水母猎手海绵宝宝完成签到,获得积分10
19秒前
小马甲应助研友-wbg-LjbQIL采纳,获得10
19秒前
六六发布了新的文献求助30
20秒前
21秒前
22秒前
22秒前
研友_VZG7GZ应助苏沐阳采纳,获得10
23秒前
Slhy完成签到 ,获得积分10
23秒前
23秒前
ZYJ发布了新的文献求助10
23秒前
Wang发布了新的文献求助10
25秒前
Xinghui完成签到,获得积分10
26秒前
morena发布了新的文献求助30
26秒前
李爱国应助阔达的秀发采纳,获得10
27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
Developing Genetic Editing Tools for Lysobacter 2000
Adhesion Science: Principles & Practice 800
The Graphene Handbook (2019 Edition) 700
Signals, Systems, and Signal Processing 610
IEST-RP-CC018: Cleanroom Cleaning and Sanitization: Operating and Monitoring Procedures 600
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
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 6528531
求助须知:如何正确求助?哪些是违规求助? 8321603
关于积分的说明 17815013
捐赠科研通 5630207
什么是DOI,文献DOI怎么找? 2930835
邀请新用户注册赠送积分活动 1907542
关于科研通互助平台的介绍 1766866