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Cited by 984

The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.

Corrosion of Metallic Biomaterials: A Review

Open access
Eliaz, Noam·2019·Materials

Abstract

Metallic biomaterials are used in medical devices in humans more than any other family of materials. The corrosion resistance of an implant material affects its functionality and durability and is a prime factor governing biocompatibility. The fundamental paradigm of metallic biomaterials, except biodegradable metals, has been “the more corrosion resistant, the more biocompatible.” The body environment is harsh and raises several challenges with respect to corrosion control. In this invited review paper, the body environment is analysed in detail and the possible effects of the corrosion of different biomaterials on biocompatibility are discussed. Then, the kinetics of corrosion, passivity, its breakdown and regeneration in vivo are conferred. Next, the mostly used metallic biomaterials and their corrosion performance are reviewed. These biomaterials include stainless steels, cobalt-chromium alloys, titanium and its alloys, Nitinol shape memory alloy, dental amalgams, gold, metallic glasses and biodegradable metals. Then, the principles of implant failure, retrieval and failure analysis are highlighted, followed by description of the most common corrosion processes in vivo. Finally, approaches to control the corrosion of metallic biomaterials are highlighted.

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Metadata

Authors
Eliaz, N.
Venue
Materials
Publisher
MDPI AG
Published
2019-01-28
Volume
12
Issue
3
Pages
407
ISSN
1996-1944 (ISSN-L)
OpenAlex
W2913840193
Cited by
984
References
74
FWCI
32.13
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Corrosion of Metallic Biomaterials: A Review. https://app.cochat.ai/papers/10.3390/ma12030407
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Eliaz, N. (2019). Corrosion of Metallic Biomaterials: A Review. Materials. https://doi.org/10.3390/ma12030407

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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.