PROJECT TITLE :

Escherichia coli bacteria detection by using graphene-based biosensor

ABSTRACT:

Graphene is an allotrope of carbon with two-dimensional (2D) monolayer honeycombs. A larger detection space and higher sensitivity will be provided by graphene-based mostly nanosenor as a result of of its 2D structure. In addition, due to its special characteristics, including electrical, optical and physical properties, graphene is referred to as a a lot of suitable candidate compared to alternative materials used in the sensor application. A unique model employing a field-result transistor structure using graphene is proposed and this-voltage (I-V) characteristics of graphene are employed to model the sensing mechanism. This biosensor will detect Escherichia coli (E. coli) bacteria, providing high levels of sensitivity. It's observed that the graphene device experiences a drastic increase in conductance when exposed to E. coli bacteria at 0-a hundred and five cfu/ml concentration. The straightforward, quick response and high sensitivity of this nanoelectronic biosensor make it a suitable device in screening and useful studies of antibacterial drugs and an ideal high-throughput platform that will detect any pathogenic bacteria. Artificial neural network and support vector regression algorithms have conjointly been used to produce other models for the I-V characteristic. A satisfactory agreement has been presented by comparison between the proposed models with the experimental data.