Predicting the bioactivity of glasses using the network connectivity or split network models
Predicting the bioactivity of glasses using the network connectivity or split network models
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DOI：
10.1016/j.jnoncrysol.2011.07.025
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发表时间：
2011-12-01
影响因子：
3.5
通讯作者：
Brauer, Delia S.
中科院分区：
文献类型：
--
作者：
Hill, Robert G.;Brauer, Delia S.
生物活性玻璃 (BG) 用作牙膏中的骨替代品和再矿化添加剂。它们的工作原理是在其表面沉淀磷灰石，网络连接 (NC) 和分裂网络模型可用于预测其生物活性，即形成磷灰石的能力。虽然 NC 可以预测玻璃降解并已成功用于预测 BG 的生物活性，但它没有考虑其磷酸盐含量。我们的实验数据证实了 Eden 使用分裂网络模型的预测 [Journal of Non-Crystalline Solids 357 (2011) 1595-1602]，即“只要 P 主要保持为 Q(p)(0) 四面体并且平均硅酸盐网络聚合是‘有利的’，生物活性随着 BG 磷含量的增加而单调增强”。结果表明，磷酸盐在 BG 的生物活性和磷灰石形成中起着关键作用。这可以通过以下事实来解释：磷不形成硅酸盐网络的一部分，而是形成单独的正磷酸盐相。然而，如果在将模型应用于含有比简单 SiO(2)-P(2)O(5)-CaO-Na(2)O 系统更多成分的玻璃时小心谨慎，NC 和分割网络模型仍然是预测 BG 生物活性和磷灰石形成的有用方法。 (C) 2011 Elsevier B.V. 保留所有权利。
Bioactive glasses (BG) are used as bone substitutes and re-mineralising additives in toothpastes. They work by precipitating apatite on their surface, and the network connectivity (NC) and split network models can be used to predict their bioactivity, i.e. their ability to form apatite.While NC predicts glass degradation and has been used successfully to predict the bioactivity of BG, it does not take into account their phosphate content. Our experimental data confirm predictions using the split network model by Eden [Journal of Non-Crystalline Solids 357 (2011) 1595-1602], that "as long as P remains predominantly as Q(p)(0) tetrahedra and the average silicate network-polymerisation is 'favourable', the bioactivity enhances monotonically for increasing phosphorus content of the BG". Results show that phosphate plays a key role in bioactivity and apatite formation of BG. This can be explained by the fact that phosphorus does not form part of the silicate network, but instead forms a separate orthophosphate phase. However, NC and split network models are still useful approaches for predicting BG bioactivity and apatite formation, if care is exercised when applying the models to glasses that contain more components than simple SiO(2)-P(2)O(5)-CaO-Na(2)O systems. (C) 2011 Elsevier B.V. All rights reserved.