基于分子印迹技术和四面体DNA纳米结构的Pb2+高选择性电化学配体传感器

IF 5.3 2区 化学 Q1 CHEMISTRY, ANALYTICAL
Jiaqi Han, Nianxin Zhu, Jiahao Sha, Jinyan Cai, Hui Cao, Tai Ye, Liling Hao, Fei Xu
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引用次数: 0

摘要

研制了一种具有特异性和灵敏度的新型铅离子(Pb2+)电化学生物传感器。该传感器设计采用分子印迹技术,将壳聚糖聚合在电极表面形成铅特异性空腔结构,从而提高了在复杂样品基质中的选择性。同时,采用四面体DNA纳米结构作为识别探针,减轻了单链DNA的缠结问题,从而提高了检测的灵敏度。该传感器线性动态范围为0.050 ~ 2.000 μg/mL,检出限(LOD)为0.0034 μg/mL。通过对水生样品的分析验证了该适体传感器的有效性,显示出与电感耦合等离子体质谱(ICP-MS)相当的高度可靠性。图形抽象
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A highly selective electrochemical aptasensor for Pb2+ based on molecular imprinting technology and tetrahedral DNA nanostructure

A highly selective electrochemical aptasensor for Pb2+ based on molecular imprinting technology and tetrahedral DNA nanostructure

A novel electrochemical biosensor for the detection of lead ions (Pb2+) with improved specificity and sensitivity was developed. The sensor design incorporated molecular imprinting technology, where chitosan was polymerized on the electrode surface to form a lead-specific cavity structure, thereby enhancing selectivity in complex sample matrices. Meanwhile, the tetrahedral DNA nanostructure was employed as the recognition probe to mitigate the entanglement issues commonly associated with single-stranded DNA, thus improving the sensitivity of the detection. The developed sensor exhibited a linear dynamic range from 0.050 to 2.000 μg/mL, with a limit of detection (LOD) of 0.0034 μg/mL. The aptasensor’s efficacy was verified through the analysis of aquatic samples, demonstrating a high degree of reliability comparable to that of inductively coupled plasma mass spectrometry (ICP-MS).

Graphical Abstract

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来源期刊
Microchimica Acta
Microchimica Acta 化学-分析化学
CiteScore
9.80
自引率
5.30%
发文量
410
审稿时长
2.7 months
期刊介绍: As a peer-reviewed journal for analytical sciences and technologies on the micro- and nanoscale, Microchimica Acta has established itself as a premier forum for truly novel approaches in chemical and biochemical analysis. Coverage includes methods and devices that provide expedient solutions to the most contemporary demands in this area. Examples are point-of-care technologies, wearable (bio)sensors, in-vivo-monitoring, micro/nanomotors and materials based on synthetic biology as well as biomedical imaging and targeting.
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