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Progress of biodegradable metals

Open access
Li, Huafang, Zheng, Yufeng, Qin, Ling·2014·Progress in Natural Science: Materials International

Abstract

Biodegradable metals (BMs) are metals and alloys expected to corrode gradually in vivo, with an appropriate host response elicited by released corrosion products, then dissolve completely upon fulfilling the mission to assist with tissue healing with no implant residues. In the present review article, three classes of BMs have been systematically reviewed, including Mg-based, Fe-based and Zn-based BMs. Among the three BM systems, Mg-based BMs, which now have several systems reported the successful of clinical trial results, are considered the vanguards and main force. Fe-based BMs, with pure iron and Fe–Mn based alloys as the most promising, are still on the animal test stage. Zn-based BMs, supposed to have the degradation rate between the fast Mg-based BMs and the slow Fe-based BMs, are a rising star with only several reports and need much further research. The future research and development direction for the BMs are proposed, based on the clinical requirements on controllable degradation rate, prolonged mechanical stability and excellent biocompatibility, by optimization of alloy composition design, regulation on microstructure and mechanical properties, and following surface modification.

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Metadata

Authors
Li, H., Zheng, Y., & Qin, L.
Venue
Progress in Natural Science: Materials International
Publisher
Elsevier BV
Published
2014-10
Volume
24
Issue
5
Pages
414-422
ISSN
1002-0071 (ISSN-L)
OpenAlex
W2084572631
Cited by
432
References
0
FWCI
5.60
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Progress of biodegradable metals. https://app.cochat.ai/papers/10.1016/j.pnsc.2014.08.014
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Li, H., Zheng, Y., & Qin, L. (2014). Progress of biodegradable metals. Progress in Natural Science: Materials International. https://doi.org/10.1016/j.pnsc.2014.08.014

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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.