Simulation of Graphene Field-Effect Transistor Biosensors for Bacterial Detection.
Guangfu WuMeyya MeyyappanKing Wai Chiu LaiPublished in: Sensors (Basel, Switzerland) (2018)
Foodborne illness is correlated with the existence of infectious pathogens such as bacteria in food and drinking water. Probe-modified graphene field effect transistors (G-FETs) have been shown to be suitable for Escherichia coli (E. coli) detection. Here, the G-FETs for bacterial detection are modeled and simulated with COMSOL Multiphysics to understand the operation of the biosensors. The motion of E. coli cells in electrolyte and the surface charge of graphene induced by E. coli are systematically investigated. The comparison between the simulation and experimental data proves the sensing probe size to be a key parameter affecting the surface charge of graphene induced by bacteria. Finally, the relationship among the change in source-drain current (∆Ids), graphene-bacteria distance and bacterial concentration is established. The shorter graphene-bacteria distance and higher bacterial concentration give rise to better sensing performance (larger ∆Ids) of the G-FETs biosensors. The simulation here could serve as a guideline for the design and optimization of G-FET biosensors for various applications.
Keyphrases
- escherichia coli
- drinking water
- label free
- room temperature
- carbon nanotubes
- walled carbon nanotubes
- loop mediated isothermal amplification
- induced apoptosis
- real time pcr
- quantum dots
- ionic liquid
- pseudomonas aeruginosa
- signaling pathway
- biofilm formation
- health risk
- risk assessment
- human health
- atomic force microscopy
- klebsiella pneumoniae
- candida albicans
- health risk assessment
- single molecule
- solid state