Prediction and experimental evaluation of silver nanoparticles chemical activities with O157:H7 E. Coli

The increasing resistance of bacterial strains to conventional antibiotics has spurred the development of novel antimicrobial agents, with silver nanoparticles (AgNPs) emerging as a promising solution. This study focuses on the comparative analysis of actual and predicted antibacterial activities of AgNPs synthesized via a green route against Escherichia coli O157:H7. The environmentally friendly synthesis method ensured the production of biocompatible nanoparticles with a size distribution between 80 to 100 nm. Antibacterial testing revealed a clear trend of current reduction as the concentration of AgNPs increased from 20 µg/mL to 80 µg/mL, indicating effective bacterial inhibition. The rapid antibacterial response observed with increasing AgNP concentration highlights their potential as powerful antimicrobial agents. In addition to the experimental findings, predictive models were employed to forecast the antibacterial efficacy of the AgNPs. The predictions closely aligned with the actual experimental data, validating the reliability of computational simulations in assessing antimicrobial activities. This study underscores the significance of integrating green synthesis methods with predictive modeling to develop effective and sustainable antibacterial treatments. The results advocate for further research and application of green-synthesized AgNPs in combating resistant bacterial strains, emphasizing the potential of these nanoparticles as a viable alternative to traditional antibiotics.