Super signal-enhancement biosensing platform for precise target recognition based on rolling circle-hybridization chain dual linear cascade amplification technology.

IF 5.6 1区 化学 Q1 CHEMISTRY, ANALYTICAL Talanta Pub Date : 2025-04-01 Epub Date: 2024-12-02 DOI:10.1016/j.talanta.2024.127321
Danyao Tang, Chunyuan Xiong, YeYu Wu, Hu Luo, Jun Yan, Ke-Jing Huang, Xuecai Tan, Yu Ya
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Abstract

This paper presents a self-powered biosensing platform based on graphdiyne@Au (2D GDY@Au) nanoparticles and rolling circle-hybridization chain (RC-HC) dual linear cascade amplification technology, which significantly enhances target recognition and signal amplification efficiency for miRNA-141. Specifically, the target on bioanode outputs a large amount of single-stranded DNA (T1) through the strand displacement amplification (SDA) mechanism. This efficient target recycling process triggers RC-HC dual linear cascade reaction. The RCA product and H2 form the L-Liner/H2 hybridized chain through a hybridization chain reaction, and then are immobilized on a flexible electrode using a Y-DNA capture handle. [Ru(NH3)6]3+ is precisely anchored in the grooves of the DNA double helix. The 2D GDY@Au enhances the electron mobility of the system to form a rich electron-donating center. The [Ru(NH3)6]3+ on the biocathode receives electrons and is reduced to [Ru(NH3)6]2+, producing a significantly amplified open-circuit voltage signal. Dual linear cascade amplification technology realizes precise target recognition, exponential amplification, and efficient conversion of biological signals. This technique displays an extensive linear range (0.0001-10000 pM) with a detection limit of 25.9 aM (S/N = 3), and it provides an innovative method for developing sensors based on nucleic acid amplification and presents a promising novel approach for the sensitive and precise detection of low-abundance target molecules, highlighting a new tactic for the creation of compact and portable analytical devices.

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基于滚动圆杂交链双线性级联扩增技术的高精度目标识别超级信号增强生物传感平台。
本文提出了一种基于graphdiyne@Au (2D GDY@Au)纳米颗粒和滚动圆杂交链(RC-HC)双线性级联扩增技术的自供电生物传感平台,显著提高了miRNA-141的靶标识别和信号扩增效率。具体来说,生物阳极上的靶标通过链位移扩增(SDA)机制输出大量单链DNA (T1)。这种高效的目标回收过程触发RC-HC双线性级联反应。RCA产物与H2通过杂交链反应形成L-Liner/H2杂交链,然后用Y-DNA捕获柄固定在柔性电极上。[Ru(NH3)6]3+精确地固定在DNA双螺旋的凹槽中。2D GDY@Au增强了体系的电子迁移率,形成了丰富的给电子中心。生物阴极上的[Ru(NH3)6]3+接收电子后还原为[Ru(NH3)6]2+,产生明显放大的开路电压信号。双线性级联放大技术实现了精确的目标识别、指数级放大和生物信号的高效转换。该技术具有较宽的线性范围(0.0001-10000 pM),检测限为25.9 aM (S/N = 3),为开发基于核酸扩增的传感器提供了一种创新方法,并为灵敏和精确检测低丰度靶分子提供了一种有前途的新方法,突出了创建紧凑和便携式分析设备的新策略。
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来源期刊
Talanta
Talanta 化学-分析化学
CiteScore
12.30
自引率
4.90%
发文量
861
审稿时长
29 days
期刊介绍: Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome. Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.
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