Characterization and Antibacterial Potential of Silver Nanoparticles Synthesized via Biosynthesis

EasyChair Preprint 11143

Abstract

Silver nanoparticles (AgNPs) have garnered significant attention in recent years due to their remarkable antibacterial properties and potential applications in various fields, including medicine and materials science. In this study, we report the biosynthesis of silver nanoparticles using a green and sustainable approach, leveraging the reducing and capping properties of plant extracts. The synthesized AgNPs were characterized using various analytical techniques, and their antibacterial potential was assessed against a panel of pathogenic bacteria. The biosynthesis of silver nanoparticles was achieved using a plant extract rich in biologically active compounds. Ultraviolet-visible (UV-Vis) spectroscopy, Fourier-transform infrared (FTIR) spectroscopy, and X-ray diffraction (XRD) analysis confirmed the formation of AgNPs with distinctive surface plasmon resonance peaks, functional group interactions, and crystalline structure. Transmission electron microscopy (TEM) and scanning electron microscopy (SEM) were employed to visualize the morphology and size distribution of the AgNPs, revealing spherical particles with an average size of approximately 20 nm. The antibacterial potential of the synthesized AgNPs was evaluated against a range of Gram-positive and Gram-negative bacterial strains, including drug-resistant species. The results demonstrated a concentration-dependent bactericidal effect, with AgNPs effectively inhibiting bacterial growth. Notably, the AgNPs exhibited enhanced antibacterial activity against Gram-negative bacteria, including Escherichia coli and Pseudomonas aeruginosa, which are known for their resistance to conventional antibiotics.

Keyphrases: Biosynthesis, abc, xyz

@booklet{EasyChair:11143,
  author    = {Smith Milson},
  title     = {Characterization and Antibacterial Potential of Silver Nanoparticles Synthesized via Biosynthesis},
  howpublished = {EasyChair Preprint 11143},
  year      = {EasyChair, 2023}}