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International Journal of Advanced Research
Article . 2018 . Peer-reviewed
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Article . 2018
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ZENODO
Article . 2018
License: CC BY
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BIOSYNTHESIS OF SILVER NANOPARTICLES USING MALUS DOMESTICA LEAF EXTRACT AND ITS BIOLOGICAL APPLICATIONS AGAINST HUMAN PATHOGENS .

Authors: Shantanu Raikar; Chetan J. D; Mangesh S. Jadhav; Kulkarni, Sameer; P. U. Raikar; U. S. Raikar; Vootla., Shyam Kumar;

BIOSYNTHESIS OF SILVER NANOPARTICLES USING MALUS DOMESTICA LEAF EXTRACT AND ITS BIOLOGICAL APPLICATIONS AGAINST HUMAN PATHOGENS .

Abstract

The silver nanoparticles were synthesized by employing a green Malus domestica leaf extract assisted process. The synthesized nanoparticles were analyzed using the instruments FTIR, UV-Vis, PXRD, AFM and SEM with EDS for chemical, structural and morphological studies. It is observed that the phytochemicals present in the leaf extract are responsible for the stable nature of synthesized nanoparticles. The green synthesized silver nanoparticles have shown effective radical scavenging as well as antibacterial activities. From our current findings that the synthesized nanoparticles showing growth inhibitory activities against both gram positive and gram negative pathogenic bacteria, we can say that the synthesized nanoparticles can be used in medicine as the therapeutic agents.

Keywords

Biosynthesis. Malus domestica. Escherichia coli. Staphylococcus aureus. Silver NPs..

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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