GREEN SYNTHESIS OF SILVER NANOPARTICLES AS AN ANTIBACTERIAL AGENT: OPTIMIZATION OF SYNTHESIS CONDITIONS WITH RESPONSE SURFACE METHODOLOGY

Year 2019, Volume: 20 Issue: 4, 481 - 494, 30.12.2019

Semra Arslantürk Deniz Uzunoğlu Esma Eser Hacı İbrahim Ekiz Ayla Özer

https://doi.org/10.18038/estubtda.529702

Cited By: 1

Abstract

In the present work, the synthesis of
silver nanoparticles (AgNPs) through a green synthesis method using avocado (Persea americana) leaf as a biological
reductant and capping agent. The synthesized AgNPs were characterized by
zetasizer, FTIR, UV-vis spectrophotometer, XRD, and SEM. Besides, response
surface methodology was used to understand and optimize the effect of the
experimental parameters on the green synthesis of AgNPs. Three experimental
parameters were chosen as independent variables: temperature, AgNO₃ concentration,
and aqueous leaf extract volume. A quadratic model was established as a
functional relationship between three independent variables and the effective
hydrodynamic diameter (nm) of AgNPs. The results of model fitting and
statistical analysis demonstrated that only AgNO₃ concentration was
statistically significant parameter. The optimum conditions for minimum
effective hydrodynamic diameter (nm) of AgNPs (32.74 nm) were temperature of 25
^oC, AgNO₃ concentration of 0.001 M, and aqueous leaf
extract volume of 50 mL. Moreover, the antibacterial activities of AgNPs for S. typhimurium, E. coli O157:H7, S. aureus,
and L. monocytogenes were tested and
it was found that AgNPs had stronger inhibitory
effects on growth of L. monocytogenes
than the other bacteria.

Keywords

antibacterial activity, avocado leaf, optimization, response surface methodology, silver nanoparticles

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