Department of Mechanical Engineering, University of Utah, Salt Lake City, UT, 84112, USA.
Department of Surgery, University of Utah, 30 N 1900 E, 3b400, Salt Lake City, UT, 84112-9057, USA.
Drug Deliv Transl Res. 2021 Feb;11(1):154-168. doi: 10.1007/s13346-020-00755-y.
The objective of this work was to develop a model and understand the diffusion of a drug into and throughout a drug delivering nerve conduit from a surrounding reservoir through a hole in the wall separating the lumen of the conduit and the reservoir. A mathematical model based on Fick's law of diffusion was developed using the finite difference method to understand the drug diffusion and the effect of varying device parameters on the concentration of drug delivered from a hole-based drug delivery device. The mathematical model was verified using a physical microfluidic (μFD) model and an in vitro/in vivo release test using prototype devices. The results of the mathematical model evaluation and microfluidic device testing offered positive insight into the reliability and function of the reservoir and hole-based drug delivering nerve conduit. The mathematical model demonstrated how changing device parameters would change the drug concentration inside the device. It was observed that the drug release in the conduit could be tuned by both concentration scaling and changing the hole size or number of holes. Based on the results obtained from the microfluidic device, the error in the mathematical drug release model was shown to be less than 10% when comparing the data obtained from mathematical model and μFD model. The data highlights the flexibility of having a hole-based drug delivery system, since the drug release can be scaled predictably by changing the device parameters or the concentration of the drug in the reservoir. Graphical abstract .
这项工作的目的是开发一个模型,以了解药物通过壁上的孔从周围储液器扩散到输送药物的神经导管中并在其中扩散,该孔将导管的管腔和储液器隔开。使用有限差分法基于扩散的菲克定律开发了一个数学模型,以了解药物扩散以及设备参数变化对基于孔的药物输送装置输送的药物浓度的影响。使用物理微流控(μFD)模型和使用原型装置的体外/体内释放测试对数学模型进行了验证。数学模型评估和微流控设备测试的结果为储液器和基于孔的药物输送神经导管的可靠性和功能提供了积极的见解。数学模型表明,改变设备参数会改变设备内部的药物浓度。观察到可以通过浓度缩放以及改变孔的大小或孔的数量来调节导管中的药物释放。基于从微流控设备获得的结果,当比较从数学模型和μFD 模型获得的数据时,药物释放数学模型的误差显示小于 10%。该数据突出了基于孔的药物输送系统的灵活性,因为可以通过改变设备参数或储液器中药物的浓度来可预测地调节药物释放。图摘要。