论文标题

双重运动器漂移取消技术以提高实时结构转换的长期稳定性

Dual-aptamer Drift Cancelling Techniques to Improve Long-term Stability of Real-Time Structure-Switching Aptasensors

论文作者

Tsai, Ya-Chen, Weng, Wei-Yang, Yeh, Yu-Tong, Chien, Jun-Chau

论文摘要

本文提出了一种双重运动器方案,可以在长期监测过程中取消从结构转换适体从结构转换的情况。基于电化学适体的(E-AB)生物传感器最近证明了它们在体内连续监测的巨大潜力。然而,检测准确性通常受信号传导漂移的限制。通常,当与方波伏安法耦合时,通过动力学差分测量(KDM)去除这些漂移。然而,我们发现KDM不适用于每个适应器,因为不同的SWV频率的响应在很大程度上取决于其结构转换特性和氧化还原报告的电子传输(ET)动力学。为此,我们提出了一种“双重运动器”方案,该方案使用了两个适合于对同一分子靶标的响应进行漂移取消的拟南芥。我们通过(1)从现有的适体池进行筛选以及(2)工程氧化还原记者的信号传导行为来识别这些配对的适体。我们证明了它们对氨苄青霉素和ATP分子的差异信号传导,并表明适体对在Undilute Goat血清中具有共同的漂移。通过取消,传感器漂移减少了370倍。从“差异”信号传导中受益,记录吞吐量也使用差分读数电子设备加倍。作者认为,该提出的技术对长期体内监测是有益的。

This paper presents a dual-aptamer scheme to cancel the signal drifts from structure-switching aptamers during long-term monitoring. Electrochemical aptamer-based (E-AB) biosensors recently demonstrated their great potential for in vivo continuous monitoring. Nevertheless, the detection accuracy is often limited by the signaling drifts. Conventionally, these drifts are removed by the kinetic differential measurements (KDM) when coupled with square-wave voltammetry. Yet we discover that KDM does not apply to every aptamer as the responses at different SWV frequencies heavily depend on its structure-switching characteristics and the redox reporters' electron transfer (ET) kinetics. To this end, we present a "dual-aptamer" scheme that uses two aptamers responding differentially to the same molecular target for drift cancellation. We identify these paired aptamers through (1) screening from the existing aptamers pool and (2) engineering the signaling behavior of the redox reporters. We demonstrate their differential signaling to ampicillin and ATP molecules and show that the aptamer pair bears common drifts in undilute goat serum. Through cancellation, sensor drift is reduced by 370-fold. Benefiting from the "differential" signaling, the recording throughput is also doubled using differential readout electronics. The authors believe the proposed technique is beneficial for long-term in vivo monitoring.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源