Electrochemical Detection of Borrelia burgdorferi Using a Biomimetic Flow Cell System

IF 4.6 Q1 CHEMISTRY, ANALYTICAL ACS Measurement Science Au Pub Date : 2023-03-30 DOI:10.1021/acsmeasuresciau.3c00004
Connor D. Flynn*, Mariusz Sandomierski, Kelly Kim, Julie Lewis, Vett Lloyd and Anna Ignaszak*, 
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引用次数: 2

Abstract

Lyme disease, caused by infection with pathogenic Borrelia bacteria, has emerged as a pervasive illness throughout North America and many other regions of the world in recent years, owing in part to climate-mediated habitat expansion of the tick vectors. Standard diagnostic testing has remained largely unchanged over the past several decades and is indirect, relying on detection of antibodies against the Borrelia pathogen, rather than detection of the pathogen itself. The development of new rapid, point-of-care tests for Lyme disease that directly detects the pathogen could drastically improve patient health by enabling faster and more frequent testing that could better inform patient treatment. Here, we describe a proof-of-concept electrochemical sensing approach to the detection of the Lyme disease-causing bacteria, which utilizes a biomimetic electrode to interact with the Borrelia bacteria that induce impedance alterations. In addition, the catch-bond mechanism between bacterial BBK32 protein and human fibronectin protein, which exhibits improved bond strength with increased tensile force, is tested within an electrochemical injection flow-cell to achieve Borrelia detection under shear stress.

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基于仿生流动池系统的伯氏疏螺旋体电化学检测
近年来,由致病性疏螺旋体细菌感染引起的莱姆病已成为北美和世界许多其他地区的一种普遍疾病,部分原因是气候介导的蜱媒栖息地扩张。在过去的几十年里,标准诊断测试基本上保持不变,是间接的,依赖于检测针对疏螺旋体病原体的抗体,而不是检测病原体本身。开发新的快速、直接检测病原体的莱姆病护理点检测方法,可以更快、更频繁地进行检测,从而更好地为患者治疗提供信息,从而大大改善患者的健康状况。在这里,我们描述了一种检测莱姆病致病细菌的概念验证电化学传感方法,该方法利用仿生电极与引起阻抗变化的疏螺旋体细菌相互作用。此外,在电化学注射流动池中测试了细菌BBK32蛋白和人纤连蛋白之间的捕获结合机制,该机制表现出随着张力的增加而提高的结合强度,以实现剪切应力下的疏螺旋体检测。
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ACS Measurement Science Au
ACS Measurement Science Au 化学计量学-
CiteScore
5.20
自引率
0.00%
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0
期刊介绍: ACS Measurement Science Au is an open access journal that publishes experimental computational or theoretical research in all areas of chemical measurement science. Short letters comprehensive articles reviews and perspectives are welcome on topics that report on any phase of analytical operations including sampling measurement and data analysis. This includes:Chemical Reactions and SelectivityChemometrics and Data ProcessingElectrochemistryElemental and Molecular CharacterizationImagingInstrumentationMass SpectrometryMicroscale and Nanoscale systemsOmics (Genomics Proteomics Metabonomics Metabolomics and Bioinformatics)Sensors and Sensing (Biosensors Chemical Sensors Gas Sensors Intracellular Sensors Single-Molecule Sensors Cell Chips Arrays Microfluidic Devices)SeparationsSpectroscopySurface analysisPapers dealing with established methods need to offer a significantly improved original application of the method.
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