@article {48823,
	title = {Design and development of multi-functional graphitic carbon nitride heterostructures embedded with copper and iron oxide nanoparticles as versatile sensing platforms for environmental and agricultural applications},
	journal = {Ceramics International},
	volume = {49},
	year = {2023},
	month = {JUN},
	pages = {20688-20698},
	type = {Article},
	abstract = {<p>
	In the recent past, agrotechnology has witnessed a tremendous change due to the advent of technologies employed towards enhancing the yield and quality of the crops. The application of nanotechnology in agriculture is promoting sustainable practices and smart farming. Currently, nanomaterial-based sensors are gaining considerable attention in agrotechnology, such sensors can detect the environmental conditions and support for crop growth and enhances the agricultural yield. Graphiticcarbon nitride (g-C3N4), a soft polymer belongs to a class of 2-D semiconductors which are affordable, metal-free, indispensable for sensing applications due to significant changes in their conductivity upon exposure to analyte molecules in nano-regime. Further, this g-C3N4 can be combined with other nano metal oxides to form nanocomposites with remarkable properties and superior performance. In this work we report development of high-performance sensors based on graphitic carbon nitride embedded with copper and iron oxide nanoparticles. These heterostructures offers tremendous improvement in the physical and chemical properties due to the synergetic interactions between various phases. The chemiresistive sensor fabricated from these nanocomposites exhibit excellent sensitivity towards monitoring methane gas @ ppb level, relative humidity (\% RH), and soil moisture content. Owing to their excellent sensitivity, stability and selectivity, this graphitic carbon nitride embedded with Cu and Fe oxide nanoparticles could be potentially used as multifunctional sensors towards environmental monitoring and greenhouse conditions in agricultural applications.</p>
},
	keywords = {Agricultural sensors, CuO nanoparticles, Environmental monitoring, FeO nanoparticles, Graphitic carbon nitride},
	issn = {0272-8842},
	doi = {10.1016/j.ceramint.2023.03.200},
	author = {Khasim, Syed and Pasha, Apsar and Dastager, Syed G. and Panneerselvam, Chellasamy and Hamdalla, Taymour A. and Al-Ghamdi, S. A. and Alfadhli, S. and Makandar, Mohammad Basha and Albalawi, Jalal Bassam and Darwish, A. A. A.}
}
@article {49617,
	title = {Graphitic carbon nitride supported boron quantum dots: a transition metal free alternative for di-nitrogen to ammonia reaction},
	journal = {CHEMPHYSCHEM},
	volume = {26},
	year = {2025},
	month = {MAR},
	type = {Article},
	abstract = {<p>
	Presently, a sustainable electrochemical Nitrogen Reduction Reaction (NRR) has been essentially found to be viable on transition metal-based catalysts. However, being cost-effective and non-corrosive, metal-free catalysts present an ideal solution for a sustainable world. Herein, through a DFT-based study, we demonstrate metal-free NRR catalysts, boron quantum dots with 13 atoms as a case study and their chemically modified counterparts when anchored on graphitic carbon nitride (g-C3N4) surface. The best catalyst among the studied, a silicon-doped boron quantum dot with a cagelike structure, is found to favour the dinitrogen to ammonia reaction pathway with a low liming potential and potential rate-determining step (PDS) of -0.11 V and 0.27 eV, respectively. The present work demonstrates as to how boron quantum dots, which are reported to be experimentally synthesised, can be exploited for ammonia synthesis when supported on the surface. These catalysts effectively suppress the HER, thus establishing its suitability as an ideal catalyst. The work also represents a futuristic pathway towards a metal-free catalyst for NRR.</p>
},
	keywords = {Boron quantum dot, Electro-catalyst, Graphitic carbon nitride, hydrogen evolution reaction, Limiting potential, metal free catalyst, Nitrogen Reduction Reaction},
	issn = {1439-4235},
	doi = {10.1002/cphc.202400766},
	author = {Samudre, Nikhil S. and Krishnamurty, Sailaja}
}
