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Cited by 611

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Biological Synthesis of Metallic Nanoparticles by Bacteria, Fungi and Plants

Open access
Pantidos, Nikolaos·2014·Journal of Nanomedicine & Nanotechnology

Abstract

Over the past few decades interest in metallic nanoparticles and their synthesis has greatly increased.This has resulted in the development of numerous ways of producing metallic nanoparticles using chemical and physical methods.However, drawbacks such as the involvement of toxic chemicals and the high-energy requirements of production make it difficult for them to be widely implemented.An alternative way of synthesising metallic nanoparticles is by using living organisms such as bacteria, fungi and plants.This "green" method of biological nanoparticle production is a promising approach that allows synthesis in aqueous conditions, with low energy requirements and low-costs.This review gives an overview of some of these environmentally friendly methods of biological metallic nanoparticle synthesis.It also highlights the potential importance of these methods in assessing nanoparticle risk to both health and the environment.

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Metadata

Authors
Pantidos, N.
Venue
Journal of Nanomedicine & Nanotechnology
Published
2014
Volume
05
Issue
05
ISSN
2157-7439 (ISSN-L)
OpenAlex
W2319099761
Cited by
611
References
3
FWCI
8.93
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Biological Synthesis of Metallic Nanoparticles by Bacteria, Fungi and Plants. https://app.cochat.ai/papers/10.4172/2157-7439.1000233
The paper
Pantidos, N. (2014). Biological Synthesis of Metallic Nanoparticles by Bacteria, Fungi and Plants. Journal of Nanomedicine & Nanotechnology. https://doi.org/10.4172/2157-7439.1000233

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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

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