| Literature DB >> 30889643 |
M Saquib Hasnain1, Md Noushad Javed2, Md Sabir Alam3, Poonam Rishishwar4, Sanjay Rishishwar4, Sadath Ali5, Amit Kumar Nayak6, Sarwar Beg7.
Abstract
The present research work describes a novel method for green synthesis of silver nanoparticles using purple heart plant leaves extract, which is recognized as frequently found in households as an ornamental plant. The aqueous methanolic extract of purple heart plant leaves was prepared and employed in the synthesis of stable silver nanoparticles via biological reduction method. The purple heart plant leaves extract-mediated synthesized silver nanoparticles were systematically optimized using Box-Behnken design considering the effect of various independent variables (factors) like concentration of AgNO3, temperature and volume of purple heart plant leaves extract solution on the responses like particle size and polydispersity index of synthesized silver nanoparticles were optimized. Mathematical modelling was performed using quadratic polynomial model and response surface analysis was done to understand the factor-response relationship. The synthesized silver nanoparticles at optimum condition were found to be of spherical in shape under TEM with particle size of 98 nm and polydispersity index of 0.15. Optimized silver nanoparticles were further characterized through UV-VIS spectrophotometry, FTIR spectroscopy and TEM imaging studies. Also, the silver nanoparticles were evaluated for antibacterial activity on E. coli and S. aureus. In a nutshell, the studies construed successful synthesis of silver nanoparticles along with thorough understanding of the associated factors influencing their quality characteristics and significantly improved antibacterial activity as beneficial effect.Entities:
Keywords: Antibacterial activity; Box-Behnken design; Green synthesis; Particle size; Silver nanoparticles
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Year: 2019 PMID: 30889643 DOI: 10.1016/j.msec.2019.02.061
Source DB: PubMed Journal: Mater Sci Eng C Mater Biol Appl ISSN: 0928-4931 Impact factor: 7.328