碳纳米管网络在适体传感器开发中的挑战

IF 3.5 Q2 CHEMISTRY, ANALYTICAL Sensors & diagnostics Pub Date : 2024-10-02 DOI:10.1039/D4SD00250D
Laura Ferrer Pascual, Eero Gustafsson, Juha Siitonen, Vasuki Durairaj and Tomi Laurila
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引用次数: 0

摘要

利用适体体的选择性和电化学方法的优势,电化学适体传感器是一个很有前途的生物传感平台。这些传感器具有高灵敏度、快速响应、低检测限制、成本效益和小型化潜力。虽然金电极主要用于EAB传感器,但碳纳米管(CNTs)等替代品正在引起人们的关注。碳纳米管具有大表面积和导电性等优点,但由于其反应性和三维网络结构,也带来了挑战。在这项研究中,我们探索了使用单壁碳纳米管(SWCNT)网络的EAB传感器的发展,强调了挑战和电分析的见解。提出了评估EAB传感器性能的三个关键电化学参数:(i)峰值电流的变化,(ii)峰值位置的移动,以及(iii)背景电流的恢复。仅仅关注峰值电流变化可能会产生误导,因为适体表面损耗等因素会影响它。此外,在方波伏安法(SWV)分析中,考虑到频率上的开和关行为,应该监测部分电流和集成电流。当结合表面等离子体共振(SPR)测量等表面分析技术时,这种综合方法提供了EAB传感器成功结合和表面钝化的初步评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Challenges in aptamer-based sensor development using carbon nanotube networks†

Electrochemical aptamer-based (EAB) sensors represent a promising biosensing platform, leveraging the selectivity of aptamers and the advantages of electrochemical methods. These sensors offer high sensitivity, rapid response, low limits of detection, cost-effectiveness, and miniaturization potential. While gold electrodes have been predominantly used in EAB sensors, alternatives such as carbon nanotubes (CNTs) are gaining attention. CNTs offer advantages like large surface area and conductivity but pose challenges due to their reactivity and 3D network structure. In this study, we explore the development of EAB sensors using single-wall carbon nanotube (SWCNT) networks, emphasizing on the challenges and electroanalytical insights. Three key electrochemical parameters are proposed for assessing EAB sensor performance: (i) variations in peak current, (ii) shifts in peak position, and (iii) the restoration of the background current. Focusing solely on peak current changes can be misleading, as factors like aptamer surface depletion can influence it. Additionally, both partial and integrated currents should be monitored in square wave voltammetry (SWV) analysis, considering both ON and OFF behaviours across frequencies. This comprehensive approach provides a preliminary assessment of successful binding and surface passivation in EAB sensors when combined with surface analytical techniques such as surface plasmon resonance (SPR) measurements.

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Back cover Rapid and automated interpretation of CRISPR-Cas13-based lateral flow assay test results using machine learning. Selection of ssDNA aptamers and construction of an aptameric electrochemical biosensor for detecting Giardia intestinalis cyst protein† Expression of concern: Sensing of COVID-19 spike protein in nasopharyngeal samples using a portable surface plasmon resonance diagnostic system Back cover
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