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Cited by 268

The DOI matches its Crossref record; 92 of the 92 references it cites were found in a registry or an index.

Bimetallic Nanoparticles for Antimicrobial Applications

Open access
Arora, Naman, Thangavelu, Kavitha, Karanikolos, Georgios N.·2020·Frontiers in Chemistry

Abstract

Highly effective antimicrobial agents are needed to control the emergence of new bacterial strains, their increased proliferation capability, and antibacterial resistance that severely impact public health, and several industries including water, food, textiles, and oil and gas. Recently, bimetallic nanoparticles, formed via integration of two different metals, have appeared particularly promising with antibacterial efficiencies surpassing that of monometallic counterparts due to synergistic effects, broad range of physiochemical properties, and diverse mechanisms of action. This work aims to provide a review on developed bimetallic and supported bimetallic systems emphasizing in particular on the relation between synthesis routes, properties, and resulting efficiency. Bimetallic nanostructures on graphene, zeolites, clays, fibers, polymers, as well as non-supported bimetallic nanoparticles are reviewed, their synthesis methods and resulting properties are illustrated, along with their antimicrobial activity and potential against different strains of microbes.

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Crossref · 10.3389/fchem.2020.00412

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Metadata

Authors
Arora, N., Thangavelu, K., & Karanikolos, G. N.
Venue
Frontiers in Chemistry
Published
2020-05-28
Volume
8
Pages
412-412
ISSN
2296-2646 (ISSN-L)
OpenAlex
W3030928634
Cited by
268
References
92
FWCI
9.70
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Bimetallic Nanoparticles for Antimicrobial Applications. https://app.cochat.ai/papers/10.3389/fchem.2020.00412
The paper
Arora, N., Thangavelu, K., & Karanikolos, G. N. (2020). Bimetallic Nanoparticles for Antimicrobial Applications. Frontiers in Chemistry. https://doi.org/10.3389/fchem.2020.00412

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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.