Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/46070
Title: Two-dimensional Janus monolayers of MoSSe as promising sensor towards selected adulterants compounds
Contributor(s): Panigrahi, Puspamitra (author); Jini, D (author); Bae, Hyeonhu (author); Lee, Hoonkyung (author); Ahuja, Rajeev (author); Hussain, Tanveer  (author)orcid 
Publication Date: 2021-03-15
Early Online Version: 2020-11-27
DOI: 10.1016/j.apsusc.2020.148590
Handle Link: https://hdl.handle.net/1959.11/46070
Abstract: 

Selective detection of different types of adulterants present in food items is necessary and efficient nano sensors for such applications are of vital importance. In this study, recently synthesized two-dimensional (2D) Janus monolayer of MoSSe has been explored to detect various food adulterants like formalin (CH2O), histamine (C5H9N3) and hydrogen peroxide (H2O2). By using first principles density functional theory calculations, we find that the incident adulterants weakly bind with pristine MoSSe, however the adsorption energies (Eads) are significantly improved upon vacancy defects and foreign elements substitutions. Furthermore, the sensing mechanism is studied in presence of water for the applications in practical working conditions. Energetic evaluation shows that both H2O2 and histamine result into stronger Eads as compared to formalin over defect induced MoSSe; whereas, the presence of water further enhances the adsorption of H2O2. In addition to the adsorption characteristics, charge transfer mechanism and electronic structures of pristine and defect induced MoSSe monolayers upon the exposure of studied adulterants have also been studied. Boltzmann thermochemical statistics further verified the explicabilities of pristine and defected MoSSe monolayers for in vitro test of adulterants in food products. Suitable Eads values and measurable changes in the electronic properties indicate the potential of MoSSe monolayers as efficient nano sensors towards selected adulterants for their applications in food processing, biotechnology, healthcare and medical laboratories.

Publication Type: Journal Article
Source of Publication: Applied Surface Science, v.542, p. 1-8
Publisher: Elsevier BV
Place of Publication: Netherlands
ISSN: 1873-5584
0169-4332
Fields of Research (FoR) 2020: 340701 Computational chemistry
510403 Condensed matter modelling and density functional theory
340302 Macromolecular materials
Socio-Economic Objective (SEO) 2020: 170308 Hydrogen storage
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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