Predictive Modelling in the Fundamental Science of Medical Ceramics

医用陶瓷基础科学中的预测模型

• 批准号: RGPIN-2016-05685
• 负责人: Boyd, Daniel
• 金额: $ 2.77万
• 依托单位: Dalhousie University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=709927
• 关键词: Predictive; Modelling; Fundamental; Science; Medical

Glass and ceramic materials are used in a wide array of applications, from screens on mobile devices, to the crowns used by dentists to repair teeth. More recently glass products have been used to repair bones, and treat cancers. However, the ability to specifically tailor and engineer glasses that can degrade at various time frames, from weeks, to months, to years, has long been a challenge in the natural sciences; even though conquering this challenge would open significant benefits in industrial and biomedical engineering. Interestingly, the glass systems that might provide for these features account for less than 2% of glass research worldwide. We propose to redress the balance. We will examine ways to modulate and predict the molecular architecture and physical chemistry of degradable glasses using unique glass compositions that have never previously been reported, nor catalogued, with any of the international agencies or journals. We will use statistical design methods to invent new glasses and ceramic systems, then we will probe their molecular structure and degradation behavior using state of the art techniques and mathematical modelling to build predictive models that will show other researchers how to design-in' a preferred rate of degradation to a particular material. We intend to achieve these variable rates of degradation by adding biologically important elements into the materials structure to modulate their molecular architecture, and as such, their degradation behavior. In addition, this approach will also enable us to investigate if the elements released from a glass, while degrading, can trigger physiological systems to self repair and regenerate.

玻璃和陶瓷材料应用广泛，从移动设备上的屏幕到牙医修复牙齿时使用的牙冠。最近，玻璃制品被用于修复骨骼和治疗癌症。然而，在不同的时间框架内，从几周、几个月到几年，专门定制和设计可以降解的眼镜的能力一直是自然科学领域的一个挑战；尽管征服这一挑战将为工业和生物医学工程带来巨大的好处。有趣的是，可能提供这些功能的玻璃系统只占全球玻璃研究的不到2%。我们建议纠正这种平衡。我们将研究调节和预测可降解玻璃的分子结构和物理化学的方法，使用独特的玻璃成分，这些成分以前从未被任何国际机构或期刊报道过，也没有被编目过。我们将使用统计设计方法来发明新的玻璃和陶瓷系统，然后我们将使用最先进的技术和数学建模来探索它们的分子结构和降解行为，以建立预测模型，向其他研究人员展示如何设计出特定材料的首选降解率。我们打算通过在材料结构中添加生物学上重要的元素来调节它们的分子结构，从而实现这些可变的降解率，以及它们的降解行为。此外，这种方法还将使我们能够研究从玻璃杯中释放出来的元素在降解的同时，是否能触发生理系统进行自我修复和再生。