Literature DB >> 19420616

Improving gas sensing properties of graphene by introducing dopants and defects: a first-principles study.

Yong-Hui Zhang1, Ya-Bin Chen, Kai-Ge Zhou, Cai-Hong Liu, Jing Zeng, Hao-Li Zhang, Yong Peng.   

Abstract

The interactions between four different graphenes (including pristine, B- or N-doped and defective graphenes) and small gas molecules (CO, NO, NO(2) and NH(3)) were investigated by using density functional computations to exploit their potential applications as gas sensors. The structural and electronic properties of the graphene-molecule adsorption adducts are strongly dependent on the graphene structure and the molecular adsorption configuration. All four gas molecules show much stronger adsorption on the doped or defective graphenes than that on the pristine graphene. The defective graphene shows the highest adsorption energy with CO, NO and NO(2) molecules, while the B-doped graphene gives the tightest binding with NH(3). Meanwhile, the strong interactions between the adsorbed molecules and the modified graphenes induce dramatic changes to graphene's electronic properties. The transport behavior of a gas sensor using B-doped graphene shows a sensitivity two orders of magnitude higher than that of pristine graphene. This work reveals that the sensitivity of graphene-based chemical gas sensors could be drastically improved by introducing the appropriate dopant or defect.

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Year:  2009        PMID: 19420616     DOI: 10.1088/0957-4484/20/18/185504

Source DB:  PubMed          Journal:  Nanotechnology        ISSN: 0957-4484            Impact factor:   3.874


  58 in total

1.  Si-doped graphene: an ideal sensor for NO- or NO2-detection and metal-free catalyst for N2O-reduction.

Authors:  Ying Chen; Bo Gao; Jing-Xiang Zhao; Qing-Hai Cai; Hong-Gang Fu
Journal:  J Mol Model       Date:  2011-09-01       Impact factor: 1.810

2.  Global and local reactivity indexes applied to understand the chemistry of graphene oxide and doped graphene.

Authors:  Diego Cortés Arriagada
Journal:  J Mol Model       Date:  2012-10-21       Impact factor: 1.810

3.  Adsorption and dissociation of sulfur-based toxic gas molecules on silicene nanoribbons: a quest for high-performance gas sensors and catalysts.

Authors:  Gurleen Kaur Walia; Deep Kamal Kaur Randhawa
Journal:  J Mol Model       Date:  2018-03-16       Impact factor: 1.810

4.  DFT study of CO adsorption on nitrogen/boron doped-graphene for sensor applications.

Authors:  Leslie-Fernanda Velázquez-López; Sandy-María Pacheco-Ortin; Roberto Mejía-Olvera; Esther Agacino-Valdés
Journal:  J Mol Model       Date:  2019-03-09       Impact factor: 1.810

5.  Conformational switching of CO on graphene: the role of electric fields.

Authors:  Fatemeh Zarei; Ali Kazempour; Reza Behjatmanesh-Ardakani
Journal:  J Mol Model       Date:  2019-11-13       Impact factor: 1.810

6.  First principles calculations of phenol adsorption on pristine and group III (B, Al, Ga) doped graphene layers.

Authors:  Yuliana Avila; Gregorio H Cocoletzi; María Teresa Romero
Journal:  J Mol Model       Date:  2014-02-14       Impact factor: 1.810

7.  Ultrasensitive gas detection of large-area boron-doped graphene.

Authors:  Ruitao Lv; Gugang Chen; Qing Li; Amber McCreary; Andrés Botello-Méndez; S V Morozov; Liangbo Liang; Xavier Declerck; Nestor Perea-López; David A Cullen; Simin Feng; Ana Laura Elías; Rodolfo Cruz-Silva; Kazunori Fujisawa; Morinobu Endo; Feiyu Kang; Jean-Christophe Charlier; Vincent Meunier; Minghu Pan; Avetik R Harutyunyan; Konstantin S Novoselov; Mauricio Terrones
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-02       Impact factor: 11.205

8.  A large gap opening of graphene induced by the adsorption of CO on the Al-doped site.

Authors:  Ali Ahmadi Peyghan; Maziar Noei; Mohammad Bigdeli Tabar
Journal:  J Mol Model       Date:  2013-04-07       Impact factor: 1.810

9.  Chemically modulated graphene diodes.

Authors:  Hye-Young Kim; Kangho Lee; Niall McEvoy; Chanyoung Yim; Georg S Duesberg
Journal:  Nano Lett       Date:  2013-04-08       Impact factor: 11.189

10.  Improving Ammonia Detecting Performance of Polyaniline Decorated rGO Composite Membrane with GO Doping.

Authors:  Yubin Yuan; Haiyang Wu; Xiangrui Bu; Qiang Wu; Xuming Wang; Chuanyu Han; Xin Li; Xiaoli Wang; Weihua Liu
Journal:  Materials (Basel)       Date:  2021-05-25       Impact factor: 3.623

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