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A novel green synthesis of silver nanoparticles and their catalytic action in reduction of Methylene Blue dye

Open access
Saha, Jayanta, Begum, Arjuara, Mukherjee, Avik, Kumar, Santosh·2017·Sustainable Environment Research

Abstract

Green synthesis processes are regarded as safer alternative to usual physical, chemical and microbial methods due to their cost effectiveness, environmental friendly nature and easy handling. In the present study, an eco-friendly and facile method for biogenic synthesis of silver nanoparticles (AgNPs) has been developed using fruit extract of Gmelina arborea, an abundantly available medicinal plant in North Eastern region of India. The prepared AgNPs were characterized by UV–Vis spectroscopy, transmission electron microscopy (TEM), selected area electron diffraction pattern and energy dispersive X-ray spectrum. TEM studies showed the as-synthesized AgNPs were stable, almost spherical and crystalline with the particles size varying from 8 to 32 nm. The average diameter of the particles was 17.0 ± 1.6 nm. The catalytic effectiveness of the prepared green catalyst, AgNP, was also investigated in catalytic degradation of Methylene Blue (MB) dye. The catalytic degradation reaction was completed within 10 min, signifying excellent catalytic properties of silver nanoparticles in reduction of MB.

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Metadata

Authors
Saha, J., Begum, A., Mukherjee, A., & Kumar, S.
Venue
Sustainable Environment Research
Published
2017-09
Volume
27
Issue
5
Pages
245-250
ISSN
2468-2039 (ISSN-L)
OpenAlex
W2610744363
Cited by
308
References
26
FWCI
10.39
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: A novel green synthesis of silver nanoparticles and their catalytic action in reduction of Methylene Blue dye. https://app.cochat.ai/papers/10.1016/j.serj.2017.04.003
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Saha, J., Begum, A., Mukherjee, A., & Kumar, S. (2017). A novel green synthesis of silver nanoparticles and their catalytic action in reduction of Methylene Blue dye. Sustainable Environment Research. https://doi.org/10.1016/j.serj.2017.04.003

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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