Exploring key ionic interactions for magnesium degradation in simulated body fluid – a data-driven approach

We have studied the degradation of pure magnesium wire in simulated body fluid and its subsets under physiological conditions to enable the prediction of the degradation rate based on the medium's ionic composition. To this end, micro-computed tomography and scanning electron microscopy with energy-dispersive X-ray spectroscopy were used, followed by a tree regression analysis. A non-linear relationship was found between degradation rate and the precipitation of calcium salts. The mean absolute error for predicting the degradation rate was 1.35 mm/yr. This comparatively high value indicates that ionic interactions were exceedingly complex or that an unknown parameter determining the degradation may exist.

Subjects

Magnesium degradation

MicroCT

Simulated body fluid

Tree regression

MLE@TUHH

DDC Class

600: Technik

Funding(s)

I³-Lab - Strukturelle Integrität durch Vibroakustische Modulation zur Verlängerung der Lebensdauer ziviler Infrastruktur

Promoting patient safety by a novel combination of imaging technologies for biodegradable magnesium implants

More Funding Information

This research was supported in part through the Maxwell computational resources operated at Deutsches Elektronen-Synchrotron DESY , Hamburg, Germany.

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publishedVersion

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https://creativecommons.org/licenses/by/4.0/

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1-s2.0-S0010938X2100038X-main.pdf

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8.38 MB

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Exploring key ionic interactions for magnesium degradation in simulated body fluid – a data-driven approach