论文标题

球形热响应水凝胶的肿胀和收缩

The swelling and shrinking of spherical thermo-responsive hydrogels

论文作者

Butler, Matthew D., Montenegro-Johnson, Thomas D.

论文摘要

热响应水凝胶是一种有前途的材料,用于创建可控制的执行器用于微尺度设备,因为它们会显着扩展和收缩(吸收或排出流体),以响应相对较小的温度变化。由于凝胶的空间和时间变化特性,以及流体动力学之间的复杂关系,凝胶的弹性变形以及聚合物与流体之间的化学相互作用,因此了解此类系统可能很困难。考虑到温度突然变化后,我们使用孔路弹性模型来解决这一问题,考虑到热响应性球形水凝胶的动力学,这应该导致大量肿胀或收缩。我们专注于两个模型示例,从文献中的数据中提取了平衡参数。我们在肿胀和收缩时发现了一系列质量不同的行为,包括从边缘顺利进行肿胀和收缩的情况,以及其他情况,这些情况形成了向内漫游的球形阵线,这些球形球形阵线将核心和外壳分离出明显不同的肿胀程度。然后,我们表征何时发生这些情况。开发了针对前动力学的近似分析形式,具有两个恒定孔隙率的两个级别,可以很好地氧化数值溶液。该系统可以随着时间的推移而前进,并且要比完整的数字更容易解决,从而可以做出更有效的预测,例如在确定富含药物的水凝胶的给药策略时。

Thermo-responsive hydrogels are a promising material for creating controllable actuators for use in micro-scale devices, since they expand and contract significantly (absorbing or expelling fluid) in response to relatively small temperature changes. Understanding such systems can be difficult because of the spatially- and temporally-varying properties of the gel, and the complex relationships between the fluid dynamics, elastic deformation of the gel and chemical interaction between the polymer and fluid. We address this using a poro-elastic model, considering the dynamics of a thermo-responsive spherical hydrogel after a sudden change in the temperature that should result in substantial swelling or shrinking. We focus on two model examples, with equilibrium parameters extracted from data in the literature. We find a range of qualitatively different behaviours when swelling and shrinking, including cases where swelling and shrinking happen smoothly from the edge, and other situations which result in the formation of an inwards-travelling spherical front that separates a core and shell with markedly different degrees of swelling. We then characterise when each of these scenarios is expected to occur. An approximate analytical form for the front dynamics is developed, with two levels of constant porosity, that well-approximates the numerical solutions. This system can be evolved forward in time, and is simpler to solve than the full numerics, allowing for more efficient predictions to be made, such as when deciding dosing strategies for drug-laden hydrogels.

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