Literature DB >> 26435280

Escherichia coli bacteria detection by using graphene-based biosensor.

Elnaz Akbari1, Zolkafle Buntat2, Abdolkarim Afroozeh3, Alireza Zeinalinezhad4, Ali Nikoukar5.   

Abstract

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.

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Year:  2015        PMID: 26435280     DOI: 10.1049/iet-nbt.2015.0010

Source DB:  PubMed          Journal:  IET Nanobiotechnol        ISSN: 1751-8741            Impact factor:   1.847


  4 in total

1.  Cell-SELEX Based Identification of an RNA Aptamer for Escherichia coli and Its Use in Various Detection Formats.

Authors:  Pooja Dua; Shuo Ren; Sang Wook Lee; Joon-Ki Kim; Hye-Su Shin; Ok-Chan Jeong; Soyoun Kim; Dong-Ki Lee
Journal:  Mol Cells       Date:  2016-11-18       Impact factor: 5.034

2.  Point-of-Care for Evaluating Antimicrobial Resistance through the Adoption of Functional Materials.

Authors:  Sima Singh; Arshid Numan; Stefano Cinti
Journal:  Anal Chem       Date:  2021-11-22       Impact factor: 6.986

3.  Investigation of graphene-on-metal substrates for SPR-based sensor using finite-difference time domain.

Authors:  Fairus Atida Said; Pulliyaseri Susthitha Menon; Venkatachalam Rajendran; Sahbudin Shaari; Burhanuddin Y Majlis
Journal:  IET Nanobiotechnol       Date:  2017-12       Impact factor: 1.847

Review 4.  Recent advances in graphene-based biosensor technology with applications in life sciences.

Authors:  Janire Peña-Bahamonde; Hang N Nguyen; Sofia K Fanourakis; Debora F Rodrigues
Journal:  J Nanobiotechnology       Date:  2018-09-22       Impact factor: 10.435

  4 in total

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