School of Aerospace, Mechanical and Mechatronic Engineering, University of Sydney, Sydney, NSW 2006, Australia.
Acta Biomater. 2011 Mar;7(3):1140-9. doi: 10.1016/j.actbio.2010.09.038. Epub 2010 Oct 16.
The degradation of polymeric biomaterials, which are widely exploited in tissue engineering and drug delivery systems, has drawn significant attention in recent years. This paper aims to develop a mathematical model that combines stochastic hydrolysis and mass transport to simulate the polymeric degradation and erosion process. The hydrolysis reaction is modeled in a discrete fashion by a fundamental stochastic process and an additional autocatalytic effect induced by the local carboxylic acid concentration in terms of the continuous diffusion equation. Illustrative examples of microparticles and tissue scaffolds demonstrate the applicability of the model. It is found that diffusive transport plays a critical role in determining the degradation pathway, whilst autocatalysis makes the degradation size dependent. The modeling results show good agreement with experimental data in the literature, in which the hydrolysis rate, polymer architecture and matrix size actually work together to determine the characteristics of the degradation and erosion processes of bulk-erosive polymer devices. The proposed degradation model exhibits great potential for the design optimization of drug carriers and tissue scaffolds.
近年来,广泛应用于组织工程和药物输送系统的聚合生物材料的降解引起了人们的极大关注。本文旨在开发一种数学模型,该模型将随机水解和质量传输相结合,以模拟聚合材料的降解和侵蚀过程。通过基本随机过程和局部羧酸浓度引起的附加自催化效应,以连续扩散方程的形式对水解反应进行离散建模。微球和组织支架的实例说明了模型的适用性。结果发现,扩散传输在确定降解途径方面起着关键作用,而自催化作用则使降解尺寸具有依赖性。建模结果与文献中的实验数据吻合较好,其中水解速率、聚合物结构和基质尺寸实际上共同作用决定了整体侵蚀性聚合物器件的降解和侵蚀过程的特性。所提出的降解模型在药物载体和组织支架的设计优化方面具有很大的潜力。