Department of Engineering, University of Leicester, Leicester LE1 7RH, UK.
Acta Biomater. 2011 Feb;7(2):538-47. doi: 10.1016/j.actbio.2010.09.005. Epub 2010 Sep 9.
This paper presents a computer model for the biodegradation of polyesters such as poly(lactic acid), poly(glycolic acid) and their copolymers. The model can take polymer details such as molecular weight distribution, different end and random scission rates and copolymer ratio as input data. A multi-scale approach is developed: polymer chain scission and oligomer production which occur at the molecular scale are modelled using a kinetic Monte Carlo scheme, oligomer diffusion which occurs at the device scale is modelled using a diffusion equation, and the two are connected at the finite difference nodes of the diffusion equation. The two-scale model can be used to predict the temporal evolution and spatial distribution of molecular weight distribution in a device as well as the weight loss as a function of time. It is shown that the kinetic Monte Carlo scheme can accurately predict the effect of copolymer ratio on the degradation rate. Grizzi and co-workers observed in their experiments that a PLA film 0.3mm thick degrades much more slowly than one that is 2mm thick. The numerical study shows that the conceptional reaction diffusion model suggested by Grizzi et al. needs to be extended in order to explain the size effect fully.
本文提出了一种用于聚酯(如聚乳酸、聚乙醇酸及其共聚物)生物降解的计算机模型。该模型可以将聚合物的详细信息(如分子量分布、不同的末端和随机断裂速率以及共聚物比例)作为输入数据。该模型采用多尺度方法:在分子尺度上发生的聚合物链断裂和低聚物生成使用动力学蒙特卡罗方案进行建模,在器件尺度上发生的低聚物扩散使用扩散方程进行建模,并在扩散方程的有限差分节点处连接两者。该两尺度模型可用于预测器件中分子量分布的时间演化和空间分布以及随时间的重量损失。结果表明,动力学蒙特卡罗方案可以准确预测共聚物比例对降解速率的影响。Grizzi 等人在实验中观察到,0.3mm 厚的 PLA 薄膜比 2mm 厚的薄膜降解慢得多。数值研究表明,需要扩展 Grizzi 等人提出的概念性反应扩散模型,以充分解释尺寸效应。