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Cited by 284

The DOI matches its Crossref record; 87 of the 87 references it cites were found in a registry or an index.

Biogenic Nanoparticles: Synthesis, Characterisation and Applications

Open access
Mughal, Bilal, Zaidi, Syed Zohaib Javaid, Zhang, Xunli, Hassan, Sammer Ul·2021·Applied Sciences

Abstract

Nanotechnology plays a big part in our modern daily lives, ranging from the biomedical sector to the energy sector. There are different physicochemical and biological methods to synthesise nanoparticles towards multiple applications. Biogenic production of nanoparticles through the utilisation of microorganisms provides great advantages over other techniques and is increasingly being explored. This review examines the process of the biogenic synthesis of nanoparticles mediated by microorganisms such as bacteria, fungi and algae, and their applications. Microorganisms offer a disparate environment for nanoparticle synthesis. Optimum production and minimum time to obtain the desired size and shape, to improve the stability of nanoparticles and to optimise specific microorganisms for specific applications are the challenges to address, however. Numerous applications of biogenic nanoparticles in medicine, environment, drug delivery and biochemical sensors are discussed.

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Crossref · 10.3390/app11062598

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Metadata

Authors
Mughal, B., Zaidi, S. Z. J., Zhang, X., & Hassan, S. U.
Venue
Applied Sciences
Publisher
MDPI AG
Published
2021-03-15
Volume
11
Issue
6
Pages
2598
ISSN
2076-3417 (ISSN-L)
OpenAlex
W3139495967
Cited by
284
References
87
FWCI
11.43
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Biogenic Nanoparticles: Synthesis, Characterisation and Applications. https://app.cochat.ai/papers/10.3390/app11062598
The paper
Mughal, B., Zaidi, S. Z. J., Zhang, X., & Hassan, S. U. (2021). Biogenic Nanoparticles: Synthesis, Characterisation and Applications. Applied Sciences. https://doi.org/10.3390/app11062598

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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.