Keyword search (4,163 papers available)

"methane" Keyword-tagged Publications:

Title Authors PubMed ID
1 Expanding the tracer correlation method (TCM): A performance-based framework for wider implementation in landfill methane emissions monitoring Abichou T; Arkian F; Howarth E; Malmir T; Hossain RI; Buntov P; Dudak Y; Risk D; 41690139
ENCS
2 A robust, low-temperature, closed-loop anaerobic system for high-solid mixed farm wastes: advancing agricultural waste management solutions in Canada Bele V; Goyette B; An C; Achouri IE; Chaib O; Rajagopal R; 38777978
ENCS
3 Transcriptional Profiling of the Candida albicans Response to the DNA Damage Agent Methyl Methanesulfonate Feng Y; Zhang Y; Li J; Omran RP; Whiteway M; Feng J; 35886903
BIOLOGY
4 Finite Element Modelling of Bandgap Engineered Graphene FET with the Application in Sensing Methanethiol Biomarker. Singh P, Abedini Sohi P, Kahrizi M 33467459
ENCS
5 COSORE: A community database for continuous soil respiration and other soil-atmosphere greenhouse gas flux data. Bond-Lamberty B, Christianson DS, Malhotra A, Pennington SC, Sihi D, AghaKouchak A, Anjileli H, Altaf Arain M, Armesto JJ, Ashraf S, Ataka M, Baldocchi D, Andrew Black T, Buchmann N, Carbone MS, Chang SC, Crill P, Curtis PS, Davidson EA, Desai AR, Drake JE, El-Madany TS, Gavazzi M, Görres CM, Gough CM, Goulden M, Gregg J, Gutiérrez Del Arroyo O, He JS, Hirano T, Hopple A, Hughes H, Järveoja J, Jassal R, Jian J, Kan H, Kaye J, Kominami Y, Liang N, Lipson D, Macdonald CA, Maseyk K, Mathes K, Mauritz M, Mayes 33026137
ENCS

 

Title:Finite Element Modelling of Bandgap Engineered Graphene FET with the Application in Sensing Methanethiol Biomarker.
Authors:Singh P,  Abedini Sohi P,  Kahrizi M
Link:https://www.ncbi.nlm.nih.gov/pubmed/33467459
DOI:10.3390/s21020580
Publication:Sensors (Basel, Switzerland)
Keywords:COMSOL modelling;  DFT;  GFET;  bandgap engineering;  functionalized graphene;  methanethiol biosensor; 
PMID:33467459 Category:Sensors (Basel) Date Added:2021-01-21
Dept Affiliation: ENCS
1 Department of Electrical and Computer Engineering, Concordia University, Montreal, QC H3G1M8, Canada.

Description:

Finite Element Modelling of Bandgap Engineered Graphene FET with the Application in Sensing Methanethiol Biomarker.

Sensors (Basel). 2021 Jan 15; 21(2):

Authors: Singh P, Abedini Sohi P, Kahrizi M

Abstract

In this work, we have designed and simulated a graphene field effect transistor (GFET) with the purpose of developing a sensitive biosensor for methanethiol, a biomarker for bacterial infections. The surface of a graphene layer is functionalized by manipulation of its surface structure and is used as the channel of the GFET. Two methods, doping the crystal structure of graphene and decorating the surface by transition metals (TMs), are utilized to change the electrical properties of the graphene layers to make them suitable as a channel of the GFET. The techniques also change the surface chemistry of the graphene, enhancing its adsorption characteristics and making binding between graphene and biomarker possible. All the physical parameters are calculated for various variants of graphene in the absence and presence of the biomarker using counterpoise energy-corrected density functional theory (DFT). The device was modelled using COMSOL Multiphysics. Our studies show that the sensitivity of the device is affected by structural parameters of the device, the electrical properties of the graphene, and with adsorption of the biomarker. It was found that the devices made of graphene layers decorated with TM show higher sensitivities toward detecting the biomarker compared with those made by doped graphene layers.

PMID: 33467459 [PubMed - in process]




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