Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/58200
Title: Identification of Selected Persistent Organic Pollutants in Agricultural Land by Carbon Nitride (C3N5) Based Nano Sensors
Contributor(s): Panigrahi, Puspamitra (author); PS, Anuroop (author); Lee, Hoonkyung (author); Bae, Hyeonhu (author); Kaewmaraya, Thanayut (author); Pandey, Ravindra (author); Hussain, Tanveer  (author)orcid ; Panigrahi, Akshaya (author)
Publication Date: 2023
Open Access: Yes
DOI: 10.1002/adts.202300697
Handle Link: https://hdl.handle.net/1959.11/58200
Abstract: 

Efficient detection of selected persistent organic pollutants (POPs) is extremely important for the safety of humans and for the moderation of agriculture. This calls for the design of versatile nano sensors capable of sensing toxic POPs with high sensitivity and selectivity. Inspired by this, the sensing characteristics of carbon nitride (C3N5) monolayers toward selected POPs are reported, such as Dichlorodiphenyltrichloroethane (DDT), Methoxychlor (DMDT), Fenthion (FT), Fenitrothion (FNT), and Rennol (RL),employing density functional theory calculations. Analysis of results predicts adsorption energies of−0.93,−1.55,−1.44,−0.98, and−1.15 eV for DDT,DMDT, FT, FNT, and RM, respectively, on C3N5monolayers. Significant charge transfers among organic pollutants and C3N5lead to distinct electronic properties of the conjugated complexes, revealed by the density of states, electrostatic potential, and work function calculations. To detect the selected pollutants in high humidity, the effects due to aqueous medium are considered. Additionally, a statistical thermodynamic analysis utilizing the Langmuir adsorption model is utilized to explore the influence of temperature and pressure.

Publication Type: Journal Article
Source of Publication: Advanced Theory and Simulations, 7(2), p. 1-9
Publisher: Wiley-VCH Verlag GmbH & Co KGaA
Place of Publication: Germany
ISSN: 2513-0390
Fields of Research (FoR) 2020: 510403 Condensed matter modelling and density functional theory
340701 Computational chemistry
Socio-Economic Objective (SEO) 2020: 209999 Other health not elsewhere classified
tbd
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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