Avila Raudel, Wu Yixin, Garziera Rinaldo, Rogers John A, Huang Yonggang
Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA.
Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA.
Research (Wash D C). 2022 Mar 4;2022:9805932. doi: 10.34133/2022/9805932. eCollection 2022.
Flowrate control in flexible bioelectronics with targeted drug delivery capabilities is essential to ensure timely and safe delivery. For neuroscience and pharmacogenetics studies in small animals, these flexible bioelectronic systems can be tailored to deliver small drug volumes on a controlled fashion without damaging surrounding tissues from stresses induced by excessively high flowrates. The drug delivery process is realized by an electrochemical reaction that pressurizes the internal bioelectronic chambers to deform a flexible polymer membrane that pumps the drug through a network of microchannels implanted in the small animal. The flowrate temporal profile and global maximum are governed and can be modeled by the ideal gas law. Here, we obtain an analytical solution that groups the relevant mechanical, fluidic, environmental, and electrochemical terms involved in the drug delivery process into a set of three nondimensional parameters. The unique combinations of these three nondimensional parameters (related to the initial pressure, initial gas volume, and microfluidic resistance) can be used to model the flowrate and scale up the flexible bioelectronic design for experiments in medium and large animal models. The analytical solution is divided into (1) a fast variable that controls the maximum flowrate and (2) a slow variable that models the temporal profile. Together, the two variables detail the complete drug delivery process and control using the three nondimensional parameters. Comparison of the analytical model with alternative numerical models shows excellent agreement and validates the analytic modeling approach. These findings serve as a theoretical framework to design and optimize future flexible bioelectronic systems used in biomedical research, or related medical fields, and analytically control the flowrate and its global maximum for successful drug delivery.
具有靶向给药能力的柔性生物电子学中的流速控制对于确保及时、安全给药至关重要。对于小动物的神经科学和药物遗传学研究,这些柔性生物电子系统可以进行定制,以可控方式输送少量药物,而不会因过高流速引起的应力而损伤周围组织。药物输送过程是通过电化学反应实现的,该反应对内部生物电子腔室加压,使柔性聚合物膜变形,从而将药物泵入植入小动物体内的微通道网络。流速的时间分布和全局最大值受理想气体定律支配并可通过该定律进行建模。在此,我们获得了一个解析解,它将药物输送过程中涉及的相关机械、流体、环境和电化学项归为一组三个无量纲参数。这三个无量纲参数(与初始压力、初始气体体积和微流体阻力相关)的独特组合可用于对流速进行建模,并扩大柔性生物电子设计规模,以用于中型和大型动物模型实验。解析解分为(1)控制最大流速的快速变量和(2)对时间分布进行建模的慢速变量。这两个变量共同详细描述了完整的药物输送过程,并使用三个无量纲参数进行控制。将解析模型与替代数值模型进行比较,结果显示出极佳的一致性,并验证了解析建模方法。这些发现为设计和优化未来用于生物医学研究或相关医学领域的柔性生物电子系统提供了理论框架,并通过解析控制流速及其全局最大值来实现成功给药。