Enhancing Face Mask Protection: Graphene Oxide Modification for Improved Filtration and Electrostatic Charge

Document Type : Original Article


1 Biomedical Engineering Department, Faculty of Engineering, Minia University, Minia, Egypt.

2 Mechanical Engineering Department, Engineering and Renewable Energy Research Institute, National Research Centre, Giza, Egypt.

3 Chemical Engineering Department, Faculty of Engineering, Minia University, Minia, Egypt.

4 Mechanical Design and Materials Department, Faculty of Energy Engineering, Aswan University, Aswan.

5 Department of Production Engineering and Mechanical Design, Faculty of Engineering, Minia University, 61519, Egypt;


The global impact of the COVID-19 pandemic has prompted widespread use of face masks as a defense against respiratory transmission. While these masks provide some level of protection, there are limitations in terms of efficient bacteria filtration and the electrostatic charge needed to repel viruses. This study aimed to enhance the performance of commercially available face masks by modifying them with graphene oxide. A low-cost heat vapor deposition technique was employed to coat the textile of the face mask with graphene oxide. The morphology of the synthesized graphene oxide was examined using transmission electron microscopy, while X-ray diffraction analysis was used to assess its crystallinity. An antimicrobial test was conducted to evaluate the efficacy of the graphene oxide-treated face masks against bacteria. Results showed that the modified face mask exhibited reduced microbial growth, indicating enhanced bacteria filtration. Furthermore, the integration of graphene oxide significantly increased the electrostatic charge on the mask's surface, further enhancing its filtration capabilities. This study demonstrates the potential of graphene oxide modification in improving the protective properties of face masks, offering a promising solution to mitigate the spread of infectious diseases such as COVID-19.


Main Subjects

Volume 67, Issue 13 - Serial Number 13
In Loving Memory of Late Professor Doctor ””Mohamed Refaat Hussein Mahran””
December 2024
Pages 207-213
  • Receive Date: 22 December 2023
  • Revise Date: 10 January 2024
  • Accept Date: 23 January 2024