Self-Reporting and Photothermally Enhanced Rapid Bacterial Killing on a Laser-Induced Graphene Mask

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

223 Scopus Citations
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Author(s)

  • Siyu Xu
  • Zhaoyu Wang
  • Ke Xue
  • Sijie Chen
  • Chunlei Zhu
  • Ben Zhong Tang

Detail(s)

Original languageEnglish
Pages (from-to)12045-12053
Journal / PublicationACS Nano
Volume14
Issue number9
Online published11 Aug 2020
Publication statusPublished - 22 Sept 2020

Abstract

Wearing face masks has been widely recommended to contain respiratory virus diseases, yet the improper use of masks poses a threat of jeopardizing the protection effect. We here identified the bacteria viability on common face masks and found that the majority of bacteria (90%) remain alive after 8 h. Using laser-induced graphene (LIG), the inhibition rate improves to ∼81%. Combined with the photothermal effect, 99.998% bacterial killing efficiency could be attained within 10 min. For aerosolized bacteria, LIG also showed superior antibacterial capacity. The LIG can be converted from a diversity of carbon precursors including biomaterials, which eases the supply stress and environmental pressure amid an outbreak. In addition, self-reporting of mask conditions is feasible using the moisture-induced electricity from gradient graphene. Our results improve the safe use of masks and benefit the environment.

Research Area(s)

  • bactericidal, COVID-19, laser-induced graphene, mask, self-reporting

Citation Format(s)

Self-Reporting and Photothermally Enhanced Rapid Bacterial Killing on a Laser-Induced Graphene Mask. / Huang, Libei; Xu, Siyu; Wang, Zhaoyu et al.
In: ACS Nano, Vol. 14, No. 9, 22.09.2020, p. 12045-12053.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review