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A Critical Review of the Antimicrobial and Antibiofilm Activities of Green-Synthesized Plant-Based Metallic Nanoparticles.

Miryam M LuzalaClaude-Josué K MuangaJoseph KyanaJustin Bazibuhe SafariEunice N ZolaGrégoire V MbusaYannick B NuapiaJean-Marie I LiesseChristian Isalomboto NkangaRui Werner Maçedo KrauseAistė BalčiūnaitienėPatrick B Memvanga
Published in: Nanomaterials (Basel, Switzerland) (2022)
Metallic nanoparticles (MNPs) produced by green synthesis using plant extracts have attracted huge interest in the scientific community due to their excellent antibacterial, antifungal and antibiofilm activities. To evaluate these pharmacological properties, several methods or protocols have been successfully developed and implemented. Although these protocols were mostly inspired by the guidelines from national and international regulatory bodies, they suffer from a glaring absence of standardization of the experimental conditions. This situation leads to a lack of reproducibility and comparability of data from different study settings. To minimize these problems, guidelines for the antimicrobial and antibiofilm evaluation of MNPs should be developed by specialists in the field. Being aware of the immensity of the workload and the efforts required to achieve this, we set out to undertake a meticulous literature review of different experimental protocols and laboratory conditions used for the antimicrobial and antibiofilm evaluation of MNPs that could be used as a basis for future guidelines. This review also brings together all the discrepancies resulting from the different experimental designs and emphasizes their impact on the biological activities as well as their interpretation. Finally, the paper proposes a general overview that requires extensive experimental investigations to set the stage for the future development of effective antimicrobial MNPs using green synthesis.
Keyphrases
  • staphylococcus aureus
  • clinical practice
  • mental health
  • current status
  • healthcare
  • quality improvement
  • candida albicans
  • transcription factor
  • artificial intelligence
  • wound healing
  • finite element analysis