Target-Catalyzed Assembly of Pyrene-Labeled Hairpins for Exponentially Amplified Biosensing

检出限 荧光 线性范围 分析物 准分子 化学 组合化学 催化作用 生物传感器 核酸 生物物理学 色谱法 生物化学 有机化学 生物 量子力学 物理
作者
Zhengqing He,Jie Wu,Bin Qiao,Hua Pei,Qianfeng Xia,Qiang Wu,Huangxian Ju
出处
期刊:ACS applied bio materials [American Chemical Society]
卷期号:3 (8): 5342-5349 被引量:13
标识
DOI:10.1021/acsabm.0c00658
摘要

Rapid and sensitive detection of nucleic acids is vital for disease diagnosis. This work designed an enzyme-free isothermal strategy for rapid exponential signal amplification through target-triggered catalytic hairpin assembly (CHA) to induce the spatially sensitive fluorescent signal of the pyrene excimer. Functionally, this system consisted of three pyrene labelled hairpins (H1, H2, and H3) and one catalyst DNA C. In the presence of C, the CHA was activated to generate intermediate I, which contained a single-stranded region identical to the C sequence for initiating the second cycle of CHA to obtain 2I and thus achieved the exponential formation of I along with the switching of pyrene excimer. The fluorescent signal of the pyrene excimer could be further enhanced via the inclusion of γ-cyclodextrin and showed a linear increase upon increasing logarithm of C concentration. Through the introduction of a helping hairpin H4-containing C sequence and a region specific to the target, this strategy could be extended to realize the quick and sensitive detection of different analytes. Using dengue virus RNA as an analyte model, the proposed fluorescent method showed a linear range from 0.1 to 50 nM with a limit of detection of 0.048 nM at 3σ and good selectivity. The excellent performance and convenient operation demonstrated its promising application in clinical disease diagnosis.
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
SSSSSS发布了新的文献求助10
1秒前
1秒前
dew发布了新的文献求助10
1秒前
2秒前
2秒前
2秒前
2秒前
2秒前
2秒前
科研通AI5应助Ail采纳,获得10
2秒前
陈晚拧发布了新的文献求助10
3秒前
小杰发布了新的文献求助10
3秒前
4秒前
星辰大海应助科研通管家采纳,获得10
5秒前
科研通AI2S应助科研通管家采纳,获得10
5秒前
Orange应助科研通管家采纳,获得10
5秒前
Orange应助科研通管家采纳,获得10
5秒前
CyrusSo524应助科研通管家采纳,获得10
5秒前
5秒前
爆米花应助科研通管家采纳,获得10
5秒前
Ava应助科研通管家采纳,获得10
5秒前
赘婿应助科研通管家采纳,获得20
5秒前
lys820602发布了新的文献求助10
5秒前
共享精神应助科研通管家采纳,获得10
5秒前
5秒前
Zn应助科研通管家采纳,获得20
5秒前
Lucas应助科研通管家采纳,获得10
6秒前
6秒前
科研通AI5应助科研通管家采纳,获得10
6秒前
小二郎应助科研通管家采纳,获得10
6秒前
6秒前
Zn应助科研通管家采纳,获得10
6秒前
6秒前
脑洞疼应助科研通管家采纳,获得10
6秒前
SciGPT应助科研通管家采纳,获得10
6秒前
MOHAMMED发布了新的文献求助10
7秒前
sky发布了新的文献求助10
7秒前
7秒前
Billy发布了新的文献求助10
7秒前
8秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes 2500
Structural Load Modelling and Combination for Performance and Safety Evaluation 1000
Conference Record, IAS Annual Meeting 1977 610
電気学会論文誌D(産業応用部門誌), 141 巻, 11 号 510
Green Analytical Methods and Miniaturized Sample Preparation techniques for Forensic Drug Analysis 500
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 3561145
求助须知:如何正确求助?哪些是违规求助? 3134912
关于积分的说明 9410275
捐赠科研通 2835309
什么是DOI,文献DOI怎么找? 1558420
邀请新用户注册赠送积分活动 728160
科研通“疑难数据库(出版商)”最低求助积分说明 716722