"Signal-on" photoelectrochemical sensing strategy based on target-dependent aptamer conformational conversion for selective detection of lead(II) ion.

检出限 纳米技术 电极 组合化学
作者
Yang Zang,Jianping Lei,Qing Hao,Huangxian Ju
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:6 (18): 15991-15997 被引量:123
标识
DOI:10.1021/am503804g
摘要

A signal-on photoelectrochemical sensing strategy for selective determination of Pb(2+) is designed on the basis of the combination of Pb(2+)-induced conformational conversion, the amplified effect of reduced graphene oxide (RGO) and resonance energy transfer between CdS quantum dots (QDs) and gold nanoparticles (AuNPs). The RGO/CdS/aptamer platform is constructed via a stepwise modification method, and characterized by electrochemical impedance spectroscopy. In the absence of Pb(2+), the AuNP-labeled DNA, as a signal quenching element, can be introduced by hybridization with aptamer on the surface of sensing platform, which quenches the photocurrent of QDs via an energy transfer process. Upon addition of Pb(2+), the aptamer is induced into a G-quadruplex structure, which can greatly hinder the hybridization between aptamer and AuNP-labeled DNA due to the competitive occupation of binding sites and steric effect, leading to the recovery of photocurrent. Under optimized conditions, this signal-on photoelectrochemical biosensor shows a linear relationship between photocurrent variation and the logarithm of Pb(2+) concentration in the range of 0.1-50 nM with a detection limit of 0.05 nM. Meanwhile, it also exhibits good selectivity for Pb(2+) over other interfering ions, and is successfully applied to the detection of Pb(2+) in environmental water samples. By substituting the aptamers with other sequences, this proposed strategy could be conveniently extended to detect different targets as versatile photoelectrochemical devices.
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
隐形曼青应助千里采纳,获得10
刚刚
小可发布了新的文献求助10
刚刚
婷123完成签到 ,获得积分10
刚刚
sooya完成签到,获得积分20
刚刚
大个应助俏皮元珊采纳,获得10
刚刚
1秒前
snowdrift发布了新的文献求助10
1秒前
爆米花应助尊敬的钥匙采纳,获得10
1秒前
China完成签到,获得积分10
1秒前
Ll发布了新的文献求助10
1秒前
2秒前
李小胖完成签到,获得积分10
2秒前
刘鹏宇发布了新的文献求助10
3秒前
3秒前
3秒前
SXM发布了新的文献求助10
4秒前
duan完成签到,获得积分20
4秒前
MrCoolWu完成签到,获得积分10
4秒前
星辰大海应助科研通管家采纳,获得10
5秒前
香蕉觅云应助科研通管家采纳,获得10
5秒前
5秒前
5秒前
5秒前
CipherSage应助科研通管家采纳,获得10
5秒前
5秒前
Leif应助科研通管家采纳,获得20
5秒前
ding应助科研通管家采纳,获得20
5秒前
NexusExplorer应助科研通管家采纳,获得10
6秒前
Owen应助科研通管家采纳,获得10
6秒前
上官若男应助科研通管家采纳,获得10
6秒前
prosperp应助科研通管家采纳,获得10
6秒前
zhang完成签到,获得积分10
6秒前
烟花应助科研通管家采纳,获得10
6秒前
科研通AI5应助liuguohua126采纳,获得10
6秒前
Hello应助科研通管家采纳,获得10
6秒前
小蘑菇应助科研通管家采纳,获得10
6秒前
6秒前
科目三应助科研通管家采纳,获得10
6秒前
Ava应助科研通管家采纳,获得10
6秒前
小星发布了新的文献求助10
6秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527521
求助须知:如何正确求助?哪些是违规求助? 3107606
关于积分的说明 9286171
捐赠科研通 2805329
什么是DOI,文献DOI怎么找? 1539901
邀请新用户注册赠送积分活动 716827
科研通“疑难数据库(出版商)”最低求助积分说明 709740