Literature DB >> 29630304

Graphene Based Biosensor Model for Escherichia Coli Bacteria Detection.

Ali H Pourasl, Mohammad Taghi Ahmadi, Meisam Rahmani, Razali Ismail.   

Abstract

As a new nanomaterial, graphene demonstrates great potential as an electrode for biomedical applications in sensing molecules and cells. Thus, development of biosensors based on graphene is gaining much interest due to its exceptional properties such as, large surface-to-volume ratio, high conductivity and high flexibility. In this work a liquid gated graphene field effect transistor based biosensor model is analytically developed for electrical detection of Escherichia Coli O157:H7 bacteria. The effect of graphene functionalization on the graphene conductance in the presence of E. coli is investigated. E. coli absorption effects on the graphene surface in the form of conductance variation are considered. Therefore the graphene conductance as a function of E. coli concentration which controls the current–voltage characteristics of biosensors is presented. According to the simulated results, the proposed sensor model can be applied as a powerful tool to predict the biosensor performance.

Entities:  

Keywords:  Biosensor; Escherichia Coli Bacteria; Liquid Gated Graphene FET; Ballistic Conductance; Current-Voltage Characteristics

Mesh:

Substances:

Year:  2017        PMID: 29630304     DOI: 10.1166/jnn.2017.12537

Source DB:  PubMed          Journal:  J Nanosci Nanotechnol        ISSN: 1533-4880


  3 in total

Review 1.  Laser-Induced Graphene-Functionalized Field-Effect Transistor-Based Biosensing: A Potent Candidate for COVID-19 Detection.

Authors:  Deniz Sadighbayan; Aamir Minhas-Khan; Ebrahim Ghafar-Zadeh
Journal:  IEEE Trans Nanobioscience       Date:  2022-03-31       Impact factor: 3.206

2.  An Analytical Conductance Model for Gas Detection Based on a Zigzag Carbon Nanotube Sensor.

Authors:  Ali Hosseingholipourasl; Sharifah Hafizah Syed Ariffin; Mohammad Taghi Ahmadi; Seyed Saeid Rahimian Koloor; Michal Petrů; Afiq Hamzah
Journal:  Sensors (Basel)       Date:  2020-01-08       Impact factor: 3.576

3.  Effect of solution pH and adsorbent concentration on the sensing parameters of TGN-based electrochemical sensor.

Authors:  Meisam Rahmani; Hassan Ghafoorifard; Saeid Afrang; Mohammad Taghi Ahmadi; Komeil Rahmani; Razali Ismail
Journal:  IET Nanobiotechnol       Date:  2019-08       Impact factor: 1.847

  3 in total

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