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Exploring the inhibitory potentials of metal-doped graphene in combating biofilm formation: a review

  • Kunal Biswas ORCID logo , Devadass Jessy Mercy ORCID logo , Agnishwar Girigoswami ORCID logo and Koyeli Girigoswami ORCID logo EMAIL logo
Published/Copyright: August 1, 2025

Abstract

The emergence of anti-microbial resistance (AMR) has become a pressing need for the design of novel and potential anti-microbial and anti-biofilm agents. Nano-scaled materials have been designed in the research domain to curb the populous spread of microbial biofilms. In the context of nano-scaled materials, metal nanoparticles are of unique importance and have been studied in detail for the treatment of biofilm propagation and menace. The crucial aspects of metal nanoparticles and their complexation with graphene have been extensively understood at the molecular level in this review article. The molecular interplay between the various external stimuli, like pH, temperature, sound, mechanical stimuli, and different external factors, on biofilm regulation has been studied and accentuated in the paper. The effect of such external factors succumbing to the biofilm-producing microbes, to the potential inhibitory activities of such novel nano-composites has been unraveled in the present review. Understanding the methodology behind nanoscaled treatments and their molecular mechanisms could pave the way for novel biofilm targeting strategies.


Corresponding author: Koyeli Girigoswami, Medical Bionanotechnology Lab, Centre for Global Health Research, Saveetha Medical College, Saveetha Institute of Medical and Technical Sciences, Thandalam, Chennai, 602101, India, E-mail:
Kunal Biswas and Devadass Jessy Mercy contributed equally to this work.

Acknowledgments

The authors thank the Centre for Nanoscience and Nanotechnology, International Research Centre, Sathyabama Institute of Science and Technology, Chennai, and Chettinad Academy of Research & Education (CARE) for carrying out the work. DJM acknowledges Chettinad Academy of Research and Education for providing the PhD scholarship.

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: KB and DJM equally contributed in conceptualization, data collection, original draft preparation. KG and AG have done data collection, writing original draft and review and writing the final draft. All the authors have given consent to communicate and publish this article.

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

  5. Conflict of interest: The author states no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

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Received: 2025-02-08
Accepted: 2025-06-29
Published Online: 2025-08-01

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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