An Experimental Framework for Developing Point-of-Need Biosensors: Connecting Bio-Layer Interferometry and Electrochemical Impedance Spectroscopy.
An Experimental Framework for Developing Point-of-Need Biosensors: Connecting Bio-Layer Interferometry and Electrochemical Impedance Spectroscopy.
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DOI：
10.3390/bios12110938
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发表时间：
2022-10-29
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生物层干涉测量（BLI）是一种成熟的实验室技术，用于研究生物分子相互作用，对药物开发等应用具有重要意义。目前，在其他领域扩展BLI的应用有很多有趣的机会，包括开发快速诊断工具。迄今为止，还没有在目标识别研究中实施BLI的详细框架，而目标识别研究对于开发需求点生物传感器至关重要。在这里，我们试图通过提供一个框架来连接这些领域，该框架将分子相互作用研究的输出与用于开发需求点生物传感器的关键性能指标联系起来。首先，我们简要回顾了蛋白质-配体相互作用的控制理论，然后总结了使用各种技术进行实时动力学定量的方法。所有主导理论综述和荟萃分析均采用2020年PRISMA指南。利用meta分析的信息，我们引入了一个实验框架，将BLI实验（KD, kon, koff）的结果与电化学（电容）生物传感器设计联系起来。作为开发更大框架的第一步，我们特别关注将BLI结果映射到五个生物传感器关键性能指标（灵敏度、选择性、响应时间、滞后、工作范围）。基于SARS-CoV-2刺突蛋白相关的已发表文献的案例研究证明了我们框架的适用性，该研究显示了基于截断血管紧张素转换酶2 （ACE2）作为受体的电容性生物传感器的开发。案例研究的重点是非特异性结合和选择性作为研究目标。所提出的框架被证明是朝着将分子相互作用映射到传感器设计的建模/模拟工作迈出的重要的第一步。
Biolayer interferometry (BLI) is a well-established laboratory technique for studying biomolecular interactions important for applications such as drug development. Currently, there are interesting opportunities for expanding the use of BLI in other fields, including the development of rapid diagnostic tools. To date, there are no detailed frameworks for implementing BLI in target-recognition studies that are pivotal for developing point-of-need biosensors. Here, we attempt to bridge these domains by providing a framework that connects output(s) of molecular interaction studies with key performance indicators used in the development of point-of-need biosensors. First, we briefly review the governing theory for protein-ligand interactions, and we then summarize the approach for real-time kinetic quantification using various techniques. The 2020 PRISMA guideline was used for all governing theory reviews and meta-analyses. Using the information from the meta-analysis, we introduce an experimental framework for connecting outcomes from BLI experiments (KD, kon, koff) with electrochemical (capacitive) biosensor design. As a first step in the development of a larger framework, we specifically focus on mapping BLI outcomes to five biosensor key performance indicators (sensitivity, selectivity, response time, hysteresis, operating range). The applicability of our framework was demonstrated in a study of case based on published literature related to SARS-CoV-2 spike protein to show the development of a capacitive biosensor based on truncated angiotensin-converting enzyme 2 (ACE2) as the receptor. The case study focuses on non-specific binding and selectivity as research goals. The proposed framework proved to be an important first step toward modeling/simulation efforts that map molecular interactions to sensor design.
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影响因子：
12.6
作者：
Goud KY;Reddy KK;Khorshed A;Kumar VS;Mishra RK;Oraby M;Ibrahim AH;Kim H;Gobi KV
通讯作者：
Gobi KV
影响因子：
1.2
作者：
Desai, Malhar;Di, Rong;Fan, Huizhou
通讯作者：
Fan, Huizhou
影响因子：
8.4
作者：
Auer, Sanna;Koho, Tiia;Hytonen, Vesa P.
通讯作者：
Hytonen, Vesa P.
DOI：
10.2174/138620709789104915
发表时间：
2009-09-01
影响因子：
1.8
作者：
Concepcion, Joy;Witte, Krista;Tan, Hong
通讯作者：
Tan, Hong
影响因子：
6.3
作者：
Genheden S;Ryde U
通讯作者：
Ryde U