Two-in-one sensing platform for the detection of exosomes based on molybdenum disulfide-based nanozymes

适体 二硫化钼 检出限 化学 电化学 微泡 CD63 双模 组合化学 纳米颗粒 生物传感器 纳米技术 分析物 电极 色谱法 材料科学 生物化学 分子生物学 物理化学 航空航天工程 小RNA 工程类 基因 冶金 生物
作者
Lingbo Gong,Bingjie Chen,Yuting Tong,Yi Luo,Dan Zhu,Jie Chao,Lianhui Wang,Shao Su
出处
期刊:Sensors and Actuators B-chemical [Elsevier BV]
卷期号:398: 134686-134686 被引量:21
标识
DOI:10.1016/j.snb.2023.134686
摘要

Compared with single-mode detection strategies, multi-mode sensing strategies have attracted more and more scientists' attention due to their higher detection accuracy and credibility. Herein, a two-in-one sensing platform was designed for human breast cancer cell line (MCF-7)-derived exosomes detection by coupling the high catalytic activity of gold-platinum core-shell nanoparticles-decorated molybdenum disulfide nanozymes (MoS2-Au@Pt) with the specific recognition ability of aptamers (Apt). Probe DNA1 (P1) was assembled on the surface of MoS2-Au@Pt nanozymes to form MoS2-based signal amplified nanoprobes (MNP), which can efficiently catalyze 3, 3′, 5, 5′-tetramethylbenzidine (TMB) and hydrogen peroxide (H2O2) reaction strategy to produce distinct electrochemical and colorimetric responses. The added target exosomes triggered the dissociation of the "probe DNA2-Apt-MNP" sandwiched structure and the release of MNP from the electrode surface due to the preferential reaction of anti-CD63 aptamer and exosomes, leading to both electrochemical signal and solution color were reduced. According to this interesting sensing principle, the developed electrochemical/colorimetric dual-mode aptasensor showed excellent sensitivity and specificity for exosomes analysis with low detection limits of 9.3 particles mL−1 (electrochemical) and 4.2 × 103 particles mL−1 (colorimetric), respectively. Furthermore, this dual-mode aptasensor can determine exosomes in human serum with high recoveries (>93 %) and low relative standard deviation (RSD, <8 %), suggesting that the developed dual-mode detection strategy is a promising sensing method for accurate, sensitive and selective analysis of biomarkers in clinical samples.
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