A reaction-diffusion framework for hydrolytic degradation of amorphous polymers based on a discrete chain scission model.
A reaction-diffusion framework for hydrolytic degradation of amorphous polymers based on a discrete chain scission model.
复制标题
基于离散断链模型的无定形聚合物水解降解的反应扩散框架。
DOI:
10.1016/j.actbio.2023.06.021
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发表时间:
2023
影响因子:
9.7
通讯作者:
Pan Z
中科院分区:
文献类型:
--
作者:
Pan Z
Hydrolytic degradation of polymers involves the scission of long chain molecules, leading to molecular weight reduction and mass loss. The precise degradation response however depends on the scission probability of individual bonds along the polymer backbone. In particular, bonds near the chain ends are considered to be more susceptible to hydrolysis than inner bonds. In this paper, we incorporate a discrete chain scission model that can handle arbitrary bond scission probabilities within a continuum reaction-diffusion framework. Overall hydrolysis kinetics (including autocatalysis) is described independently of the chain scission model. By decoupling the description of the chain scission mechanism from kinetics, our framework enables the identification of the chain scission mechanism from molecular weight reduction and mass loss curves commonly reported in experimental degradation studies. We further propose a reduced continuum model which is better suited for large-scale simulations while retaining the predictive capability of the full discrete-continuum model. The model capability is illustrated in representative case studies based on experimental data from the literature for different materials and geometries.Statement of significanceMany models have been proposed to predict the evolution of molecular weight and mass loss in biodegradable polymers undergoing hydrolytic degradation. However, existing models remain limited in their ability to describe the degradation mechanism, autocatalytic kinetics and short chains diffusion simultaneously. Moreover, existing models often rely on empirical relations and a large number of fitting parameters. Here, we propose a conceptually simple discrete-continuum mathematical framework with a small number of parameters which all have a clear physical meaning. Model calibration against experimental data is simplified, and further provides insights into the degradation mechanisms at play, namely random scission, chain-end scission, or a combination of both. The framework can serve as a basis for future generalisations, including a description of evolving crystallinity, or other degradation mechanisms, such as thermal oxidation or photo-degradation.
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影响因子:
4.7
作者:
Wang,Jiang;Wang,Tian -Tian;Zhou,Yin-Ning
通讯作者:
Zhou,Yin-Ning
影响因子:
2.1
作者:
Yong Kuen Ho;P. Doshi;H. K. Yeoh
通讯作者:
H. K. Yeoh
DOI:
10.1002/pen.26131
发表时间:
2022
期刊:
Polymer Engineering & Science
影响因子:
--
作者:
Aoife Hill;W. Ronan
通讯作者:
W. Ronan
影响因子:
5.3
作者:
Zhouzhou Pan;L. Brassart
通讯作者:
Zhouzhou Pan;L. Brassart
影响因子:
14
作者:
Soares, Joao S.;Zunino, Paolo
通讯作者:
Zunino, Paolo