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Escherichia coli bacteria detection by using graphene-based biosensor

机译:石墨烯生物传感器检测大肠杆菌细菌

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摘要

Graphene is an allotrope of carbon with two-dimensional (2D) monolayer honeycombs. A larger detection area and higher sensitivity can be provided by graphene-based nanosenor because of its 2D structure. In addition, owing to its special characteristics, including electrical, optical and physical properties, graphene is known as a more suitable candidate compared to other materials used in the sensor application. A novel model employing a field-effect transistor structure using graphene is proposed and the current-voltage (-) characteristics of graphene are employed to model the sensing mechanism. This biosensor can detect () bacteria, providing high levels of sensitivity. It is observed that the graphene device experiences a drastic increase in conductance when exposed to bacteria at 0-10 cfu/ml concentration. The simple, fast response and high sensitivity of this nanoelectronic biosensor make it a suitable device in screening and functional studies of antibacterial drugs and an ideal high-throughput platform which can detect any pathogenic bacteria. Artificial neural network and support vector regression algorithms have also been used to provide other models for the - characteristic. A satisfactory agreement has been presented by comparison between the proposed models with the experimental data.
机译:石墨烯是碳的同素异形体,具有二维(2D)单层蜂窝。石墨烯基纳米传感器由于具有二维结构,因此可以提供更大的检测面积和更高的灵敏度。此外,由于石墨烯的特殊特性,包括电,光学和物理特性,与传感器应用中使用的其他材料相比,石墨烯被认为是更合适的候选材料。提出了一种使用石墨烯的场效应晶体管结构的新型模型,并利用石墨烯的电流-电压(-)特性对传感机制进行建模。这种生物传感器可以检测细菌,从而提供很高的灵敏度。观察到,当以0-10 cfu / ml的浓度暴露于细菌时,石墨烯器件的电导率急剧增加。这种纳米电子生物传感器的简单,快速响应和高灵敏度使其成为抗菌药物筛选和功能研究的合适设备,并且是一种理想的高通量平台,可以检测任何病原细菌。人工神经网络和支持向量回归算法也已用于提供-特征的其他模型。通过将建议的模型与实验数据进行比较,已经给出了令人满意的协议。

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