Akbari Elnaz, Buntat Zolkafle, Afroozeh Abdolkarim, Zeinalinezhad Alireza, Nikoukar Ali
Faculty of Electrical Engineering, Institute of High Voltage & High Current, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia.
The Department General of Fars Province Education, Iran.
IET Nanobiotechnol. 2015 Oct;9(5):273-9. doi: 10.1049/iet-nbt.2015.0010.
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 (I-V) characteristics of graphene are employed to model the sensing mechanism. This biosensor can detect Escherichia coli (E. coli) bacteria, providing high levels of sensitivity. It is observed that the graphene device experiences a drastic increase in conductance when exposed to E. coli bacteria at 0-10(5) 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 I-V characteristic. A satisfactory agreement has been presented by comparison between the proposed models with the experimental data.
石墨烯是一种具有二维（2D）单层蜂窝状结构的碳的同素异形体。基于石墨烯的纳米传感器因其二维结构可提供更大的检测面积和更高的灵敏度。此外，由于其包括电学、光学和物理性质在内的特殊特性，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。提出了一种采用基于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（I-V）特性对传感机制进行建模。这种生物传感器可以检测大肠杆菌，具有很高的灵敏度。据观察，当石墨烯器件暴露于浓度为0-10⁵ cfu/ml的大肠杆菌时，其电导会急剧增加。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中的合适器件，以及可检测任何病原菌的理想高通量平台。人工神经网络和支持向量回归算法也已被用于为I-V特性提供其他模型。所提出的模型与实验数据之间的比较呈现出令人满意的一致性。
