Identification of Selected Persistent Organic Pollutants in Agricultural Land by Carbon Nitride (C3N5) Based Nano Sensors

Author:

Panigrahi Puspamitra1,PS Anuroop2,Lee Hoonkyung3,Bae Hyeonhu4,Kaewmaraya Thanayut56,Pandey Ravindra7,Hussain Tanveer8ORCID,Panigrahi Akshaya2

Affiliation:

1. Centre for Clean Energy and Nano Convergence Hindustan Institute of Technology and Science Chennai 603103 India

2. Central Institute of Brackishwater Aquaculture (ICAR‐CIBA) 75 Santhome High Road Chennai Tamilnadu 600028 India

3. Department of Physics Konkuk University Seoul 05029 Republic of Korea

4. Department of Condensed Matter Physics Weizmann Institute of Science Rehovot 7610001 Israel

5. Integrated Nanotechnology Research Centre, Department of Physics Khon Kaen University Khon Kaen 40002 Thailand

6. Institute of Nanomaterials Research and Innovation for Energy (IN‐RIE), NANOTEC‐KKU RNN on Nanomaterials Research and Innovation for Energy Khon Kaen University Khon Kaen 40002 Thailand

7. Michigan Technological University Michigan MI 49931 USA

8. School of Science and Technology University of New England Armidale New South Wales 2351 Australia

Abstract

AbstractEfficient 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 nanosensors 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 C3N5 monolayers. Significant charge transfers among organic pollutants and C3N5 lead 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.

Publisher

Wiley

Subject

Multidisciplinary,Modeling and Simulation,Numerical Analysis,Statistics and Probability

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