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Cited by 723

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Antimicrobial Polymers with Metal Nanoparticles

Open access
Palza, Humberto·2015·International Journal of Molecular Sciences

Abstract

Metals, such as copper and silver, can be extremely toxic to bacteria at exceptionally low concentrations. Because of this biocidal activity, metals have been widely used as antimicrobial agents in a multitude of applications related with agriculture, healthcare, and the industry in general. Unlike other antimicrobial agents, metals are stable under conditions currently found in the industry allowing their use as additives. Today these metal based additives are found as: particles, ions absorbed/exchanged in different carriers, salts, hybrid structures, etc. One recent route to further extend the antimicrobial applications of these metals is by their incorporation as nanoparticles into polymer matrices. These polymer/metal nanocomposites can be prepared by several routes such as in situ synthesis of the nanoparticle within a hydrogel or direct addition of the metal nanofiller into a thermoplastic matrix. The objective of the present review is to show examples of polymer/metal composites designed to have antimicrobial activities, with a special focus on copper and silver metal nanoparticles and their mechanisms.

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Metadata

Authors
Palza, H.
Venue
International Journal of Molecular Sciences
Publisher
MDPI AG
Published
2015-01-19
Volume
16
Issue
1
Pages
2099-2116
ISSN
1422-0067 (ISSN-L)
OpenAlex
W2076921592
Cited by
723
References
6
FWCI
30.72
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Antimicrobial Polymers with Metal Nanoparticles. https://app.cochat.ai/papers/10.3390/ijms16012099
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Palza, H. (2015). Antimicrobial Polymers with Metal Nanoparticles. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms16012099

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.