Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/51396
Title: Adsorption characteristics of DNA nucleobases, aromatic amino acids and heterocyclic molecules on silicene and germanene monolayers
Contributor(s): Hussain, Tanveer  (author)orcid ; Vovusha, Hakkim (author); Kaewmaraya, Thanayut (author); Amornkitbamrung, Vittaya (author); Ahuja, Rajeev (author)
Publication Date: 2018-02
Early Online Version: 2017-09-14
DOI: 10.1016/j.snb.2017.09.083
Handle Link: https://hdl.handle.net/1959.11/51396
Abstract: 

Binding of DNA/RNA nucleobases, aromatic amino acids and heterocyclic molecules on two-dimensional silicene and germanene sheets have been investigated for the application of sensing of biomolecules using first principle density functional theory calculations. Binding energy range for nucleobases, amino acids and heterocyclic molecules with both the sheets have been found to be (0.43-1.16 eV), (0.70-1.58 eV) and (0.22-0.96 eV) respectively, which along with the binding distances show that these molecules bind to both sheets by physisorption and chemisorption process. The exchange of electric charges between the monolayers and the incident molecules has been examined by means of Bader charge analysis. It has been observed that the introduction of DNA/RNA nucleobases, aromatic amino acids and heterocyclic molecules alters the electronic properties of both silicene and germanene nano sheets as studied by plotting the total (TDOS) and partial (PDOS) density of states. The DOS plots reveal the variation in the band gaps of both silicene and germanene caused by the introduction of studied molecules. Based on the obtained results we suggest that both silicene and germanene monolayers in their pristine form could be useful for sensing of biomolecules.

Publication Type: Journal Article
Source of Publication: Sensors and Actuators B: Chemical, 255(Part 3), p. 2713-2720
Publisher: Elsevier BV
Place of Publication: Netherlands
ISSN: 1873-3077
0925-4005
Fields of Research (FoR) 2020: 340701 Computational chemistry
510403 Condensed matter modelling and density functional theory
340302 Macromolecular materials
Socio-Economic Objective (SEO) 2020: 180101 Air quality
170803 Hydro-electric energy
170899 Renewable energy not elsewhere classified
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Science and Technology

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