Startseite Antibacterial activity trends in g-C3N4/CuO nanocomposites: the crucial interplay of CuO ratios and zeta potential
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Antibacterial activity trends in g-C3N4/CuO nanocomposites: the crucial interplay of CuO ratios and zeta potential

  • Gaurav Mahnot Jain , Sravya Kolluru , Lingala Eswaraditya Reddy , Dhruv Gollapudi , Bala Krishna Inguva , Ganesh Botla EMAIL logo und Gubbala V. Ramesh EMAIL logo
Veröffentlicht/Copyright: 12. September 2025
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Abstract

In recent times as antibiotic resistance grows, given opportunity to find new ways to kill germs. In this research work, the potential of g-C3N4/CuO nanocomposite as an antibacterial agent has been investigated. Using the natural properties of Graphitic carbon nitride (g-C3N4) and the known antimicrobial properties of copper oxide (CuO), the discovery of the composite was demonstrated against bacterial strains (Staphylococcus and Pseudomonas) in this study. The antibacterial performance of the composite was found to be dependent on the relative concentration of CuO. The zeta potential is another critical parameter that plays a vital role in the stability of the nanoparticles in solution is explored. This detailed analysis opens up the possibility of using g-C3N4/CuO nanocomposites with optimal CuO concentrations as effective antibacterial agents against multi-drug-resistant pathogens.


Corresponding authors: Ganesh Botla, Department of Chemical Engineering, Chaitanya Bharathi Institute of Technology, Hyderabad, Gandipet, 500075, Telangana, India, E-mail: ; and Gubbala V. Ramesh, Department of Chemistry, Chaitanya Bharathi Institute of Technology, Hyderabad, Gandipet, 500075, Telangana, India, E-mail:

Gaurav Mahnot Jain and Sravya Kolluru contributed equally to the research and preparation of the manuscript.


  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: All authors have accepted responsibility for the entire content of the manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: Not applicable.

  7. Data availability: Not applicable.

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Received: 2025-04-29
Accepted: 2025-08-24
Published Online: 2025-09-12

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