Escherichia coli bacteria detection by using graphene-based biosensor

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 pro...

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Main Authors: Akbari, Elnaz, Buntat, Zolkafle, Afroozeh, Abdolkarim, Zeinalinezhad, Alireza, Nikoukar, Ali
Format: Article
Published: The Institution of Engineering and Technology 2015
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Online Access:http://eprints.utm.my/id/eprint/55056/
https://www.ncbi.nlm.nih.gov/pubmed/26435280
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spelling my.utm.550562017-08-01T04:35:14Z http://eprints.utm.my/id/eprint/55056/ Escherichia coli bacteria detection by using graphene-based biosensor Akbari, Elnaz Buntat, Zolkafle Afroozeh, Abdolkarim Zeinalinezhad, Alireza Nikoukar, Ali TK Electrical engineering. Electronics Nuclear engineering 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 0-105 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. The Institution of Engineering and Technology 2015-10 Article PeerReviewed Akbari, Elnaz and Buntat, Zolkafle and Afroozeh, Abdolkarim and Zeinalinezhad, Alireza and Nikoukar, Ali (2015) Escherichia coli bacteria detection by using graphene-based biosensor. IET Nanobiotechnology, 9 (5). pp. 273-279. ISSN 1751-8741 https://www.ncbi.nlm.nih.gov/pubmed/26435280
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Akbari, Elnaz
Buntat, Zolkafle
Afroozeh, Abdolkarim
Zeinalinezhad, Alireza
Nikoukar, Ali
Escherichia coli bacteria detection by using graphene-based biosensor
description 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 0-105 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.
format Article
author Akbari, Elnaz
Buntat, Zolkafle
Afroozeh, Abdolkarim
Zeinalinezhad, Alireza
Nikoukar, Ali
author_facet Akbari, Elnaz
Buntat, Zolkafle
Afroozeh, Abdolkarim
Zeinalinezhad, Alireza
Nikoukar, Ali
author_sort Akbari, Elnaz
title Escherichia coli bacteria detection by using graphene-based biosensor
title_short Escherichia coli bacteria detection by using graphene-based biosensor
title_full Escherichia coli bacteria detection by using graphene-based biosensor
title_fullStr Escherichia coli bacteria detection by using graphene-based biosensor
title_full_unstemmed Escherichia coli bacteria detection by using graphene-based biosensor
title_sort escherichia coli bacteria detection by using graphene-based biosensor
publisher The Institution of Engineering and Technology
publishDate 2015
url http://eprints.utm.my/id/eprint/55056/
https://www.ncbi.nlm.nih.gov/pubmed/26435280
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