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Transition metal (Ni, Pd and Pt)-embedded graphitic carbon nitride (gCN) monolayer as an acetone sensor: a computational and experimental study

  • 01-04-2023
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Abstract

The article presents a detailed study on the use of transition metal (Ni, Pd, and Pt)-embedded graphitic carbon nitride (gCN) monolayers as acetone sensors. It combines computational and experimental methods to examine the sensing properties of these materials. The authors demonstrate that the incorporation of transition metals significantly enhances the adsorption energy, bandgap modulation, and overall sensing response of gCN. The computational simulations show that Pd/gCN exhibits the highest adsorption energy and bandgap modulation, making it the most promising material for acetone sensing. Experimental results confirm these findings, with Pd/gCN showing superior response and recovery times compared to pristine gCN and other metal-embedded gCN configurations. The study also highlights the stability and selectivity of Pd/gCN, making it a commendable material for acetone sensing applications. The integration of computational and experimental approaches provides a robust validation of the enhanced sensing properties of transition metal-embedded gCN, offering valuable insights for further research and practical applications in chemical industries, environmental monitoring, and healthcare.

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Title
Transition metal (Ni, Pd and Pt)-embedded graphitic carbon nitride (gCN) monolayer as an acetone sensor: a computational and experimental study
Authors
Nihal
Rahul Sharma
Navjot Kaur
Mamta Sharma
B. C. Choudhary
J. K. Goswamy
Publication date
01-04-2023
Publisher
Springer US
Published in
Journal of Materials Science: Materials in Electronics / Issue 12/2023
Print ISSN: 0957-4522
Electronic ISSN: 1573-482X
DOI
https://doi.org/10.1007/s10854-023-10385-y
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