Literature DB >> 33951879

Interaction with teichoic acids contributes to highly effective antibacterial activity of graphene oxide on Gram-positive bacteria.

Meizhen Wang1, Zhangqiang Li1, Yunyun Zhang2, Yue Li2, Na Li2, Dan Huang3, Baile Xu4.   

Abstract

Graphene oxide (GO) has high-efficient antibacterial activity to diverse pathogenic bacteria. However, the detailed antibacterial mechanism of GO is not fully clear. Herein the antibacterial properties of GO against model Gram-positive (Gram+) (Staphylococcus aureus and Staphylococcus epidermidis) and Gram-negative (Gram-) bacteria (Pseudomonas aeruginosa and Escherichia coli) were compared by plate count method. Results showed that 4 mg/L of GO induced the mortality of Gram+ and Gram- bacteria by > 99% and < 25%, respectively. GO had greater adsorption affinity to teichoic acids, the unique components existing in the cell wall of Gram+ bacteria, mainly via π-π interaction. The adsorption efficiency of teichoic acids was 27 times higher than that of peptidoglycan when they were simultaneously exposed to 100 mg/L GO. The superior adsorption of teichoic acids onto GO increased one order of magnitude of atlA expression, the autolysin related gene. As a result, these accelerated bacterial death by hydrolyzing peptidoglycan in cell walls. Exogenous addition of 50 mg/L teichoic acids could impair 4-5 fold of antibacterial activity of GO against S. aureus. These new findings illuminate the antibacterial mechanism of GO against Gram+ bacteria, which paves the way for the further application of graphene-based materials in water disinfection and pathogen control.
Copyright © 2021 Elsevier B.V. All rights reserved.

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Keywords:  Antibacterial mechanism; Autolysin; Cell wall; Graphene oxide; Pathogenic bacteria

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Year:  2021        PMID: 33951879     DOI: 10.1016/j.jhazmat.2021.125333

Source DB:  PubMed          Journal:  J Hazard Mater        ISSN: 0304-3894            Impact factor:   10.588


  1 in total

1.  Antimicrobial Potential of Conjugated Lignin/Morin/Chitosan Combinations as a Function of System Complexity.

Authors:  Zvezdelina Yaneva; Georgi Beev; Nikolina Rusenova; Donika Ivanova; Milena Tzanova; Daniela Stoeva; Monika Toneva
Journal:  Antibiotics (Basel)       Date:  2022-05-12
  1 in total

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