In silico modelling of the corrosion of biodegradable magnesium-based biomaterials: modelling approaches, validation and future perspectives.

Aditya Joshi, George Dias, Mark P Staiger, Aj, Mps, Gd
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Abstract

Metallic biomedical implants based on magnesium, zinc and iron alloys have emerged as bioresorbable alternatives to permanent orthopaedic implants over the last two decades. The corrosion rate of biodegradable metals plays a critical role in controlling the compatibility and functionality of the device in vivo. The broader adoption of biodegradable metals in orthopaedic applications depends on developing in vitro methods that accurately predict the biodegradation behaviour in vivo. However, the physiological environment is a highly complex corrosion environment to replicate in the laboratory, making the in vitro-to-in vivo translation of results very challenging. Accordingly, the results from in vitro corrosion tests fail to provide a complete schema of the biodegradation behaviour of the metal in vivo. In silico approach based on computer simulations aim to bridge the observed differences between experiments performed in vitro and vivo. A critical review of the state-of-the-art of computational modelling techniques for predicting the corrosion behaviour of magnesium alloy as a biodegradable metal is presented.

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可生物降解镁基生物材料腐蚀的硅模拟:模拟方法、验证和未来展望。
在过去的二十年里,基于镁、锌和铁合金的金属生物医学植入物已经成为永久性骨科植入物的生物可吸收替代品。生物可降解金属的腐蚀速率对控制器件在体内的相容性和功能起着至关重要的作用。生物可降解金属在骨科应用中的广泛应用取决于开发出能够准确预测体内生物降解行为的体外方法。然而,生理环境是一个高度复杂的腐蚀环境,在实验室中复制,使得在体外到体内的结果翻译非常具有挑战性。因此,体外腐蚀试验的结果不能提供金属在体内生物降解行为的完整模式。基于计算机模拟的计算机方法旨在弥合在体外和体内进行的实验之间观察到的差异。对预测镁合金作为可生物降解金属的腐蚀行为的计算建模技术的最新进展进行了评述。
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9
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