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Green synthesis of silver nanoparticles using Azadirachta indica aqueous leaf extract

Open access
Ahmed, Shakeel, Saifullah, Ahmad, Mudasir, Swami, Babu Lal, Ikram, Saiqa·2016·Journal of Radiation Research and Applied Sciences

Abstract

In this study, rapid, simple approach was applied for synthesis of silver nanoparticles using Azadirachta indica aqueous leaf extract. The plant extract acts both as reducing agent as well as capping agent. To identify the compounds responsible for reduction of silver ions , the functional groups present in plant extract were investigated by FTIR. Various techniques used to characterize synthesized nanoparticles are DLS , photoluminescence , TEM and UV–Visible spectrophotometer. UV–Visible spectrophotometer showed absorbance peak in range of 436–446 nm. The silver nanoparticles showed antibacterial activities against both gram positive ( Staphylococcus aureus ) and gram negative ( Escherichia coli ) microorganisms. Photoluminescence studies of synthesised silver nanoparticles were also evaluated. Results confirmed this protocol as simple, rapid, one step, eco-friendly, non-toxic and an alternative conventional physical/chemical methods. Only 15 min were required for the conversion of silver ions into silver nanoparticles at room temperature, without the involvement of any hazardous chemical.

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Crossref · 10.1016/j.jrras.2015.06.006

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Metadata

Authors
Ahmed, S., Saifullah, Ahmad, M., Swami, B. L., & Ikram, S.
Venue
Journal of Radiation Research and Applied Sciences
Publisher
Elsevier BV
Published
2016-01
Volume
9
Issue
1
Pages
1-7
ISSN
1687-8507 (ISSN-L)
OpenAlex
W747610556
Cited by
1,314
References
24
FWCI
24.65
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Green synthesis of silver nanoparticles using Azadirachta indica aqueous leaf extract. https://app.cochat.ai/papers/10.1016/j.jrras.2015.06.006
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Ahmed, S., Saifullah, Ahmad, M., Swami, B. L., & Ikram, S. (2016). Green synthesis of silver nanoparticles using Azadirachta indica aqueous leaf extract. Journal of Radiation Research and Applied Sciences. https://doi.org/10.1016/j.jrras.2015.06.006

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.