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Electrochemical Microfluidic Paper-Based Aptasensor Platform Based on a Biotin–Streptavidin System for Label-Free Detection of Biomarkers

适体 链霉亲和素 检出限 材料科学 纳米技术 石墨烯 生物素 微流控 纳米材料 硫堇 电极 线性范围 计算机科学 电化学 色谱法 化学 分子生物学 生物 生物化学 物理化学
作者
Ming Tao,Yan Cheng,Xing Yu,Jinping Luo,Gang Mao,Juntao Liu,Shuai Sun,Fanli Kong,Hongyan Jin,Xinxia Cai
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:13 (39): 46317-46324 被引量:32
标识
DOI:10.1021/acsami.1c12716
摘要

Timely and rapid detection of biomarkers is extremely important for the diagnosis and treatment of diseases. However, going to the hospital to test biomarkers is the most common way. People need to spend a lot of money and time on various tests for potential disease detection. To make the detection more convenient and affordable, we propose a paper-based aptasensor platform in this work. This device is based on a cellulose paper, on which a three-electrode system and microfluidic channels are fabricated. Meanwhile, novel nanomaterials consisting of amino redox graphene/thionine/streptavidin-modified gold nanoparticles/chitosan are synthesized and modified on the working electrode of the device. Through the biotin-streptavidin system, the aptamer whose 5'end is modified with biotin can be firmly immobilized on the electrode. The detection principle is that the current generated by the nanomaterials decreases proportionally to the concentration of targets owing to the combination of the biomarker and its aptamer. 17β-Estradiol (17β-E2), as one of the widely used diagnostic biomarkers of various clinical conditions, is adopted for verifying the performance of the platform. The experimental results demonstrated that this device enables the determination of 17β-E2 in a wide linear range of concentrations of 10 pg mL-1 to 100 ng mL-1 and the limit of detection is 10 pg mL-1 (S/N = 3). Moreover, it enables the detection of targets in clinical serum samples, demonstrating its potential to be a disposable and convenient integrated platform for detecting various biomarkers.
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