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Assessing the corrosion of biodegradable magnesium implants: A critical review of current methodologies and their limitations

Open access
Kirkland, N.T., Birbilis, N., Staiger, M.P.·2012·Acta Biomaterialia

Abstract

Magnesium (Mg) and its alloys have been intensively studied as biodegradable implant materials, where their mechanical properties make them attractive candidates for orthopaedic applications. There are several commonly used in vitro tests, from simple mass loss experiments to more complex electrochemical methods, which provide information on the biocorrosion rates and mechanisms. The various methods each have their own unique benefits and limitations. Inappropriate test setup or interpretation of in vitro results creates the potential for flawed justification of subsequent in vivo experiments. It is therefore crucial to fully understand the correct usages of each experiment and the factors that need to be considered before drawing conclusions. This paper aims to elucidate the main benefits and limitations for each of the major in vitro methodologies that are used in examining the biodegradation behaviour of Mg and its alloys.

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Metadata

Authors
Kirkland, N. T., Birbilis, N., & Staiger, M. P.
Venue
Acta Biomaterialia
Publisher
Elsevier BV
Published
2012-03
Volume
8
Issue
3
Pages
925-936
ISSN
1742-7061 (ISSN-L)
OpenAlex
W2071538975
Cited by
856
References
0
FWCI
17.65
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Assessing the corrosion of biodegradable magnesium implants: A critical review of current methodologies and their limitations. https://app.cochat.ai/papers/10.1016/j.actbio.2011.11.014
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Kirkland, N. T., Birbilis, N., & Staiger, M. P. (2012). Assessing the corrosion of biodegradable magnesium implants: A critical review of current methodologies and their limitations. Acta Biomaterialia. https://doi.org/10.1016/j.actbio.2011.11.014

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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.