Analytical Modeling of Flowrate and Its Maxima in Electrochemical Bioelectronics with Drug Delivery Capabilities.

IF 10.7
Research (Washington, D.C.) Pub Date : 2022-03-04 eCollection Date: 2022-01-01 DOI:10.34133/2022/9805932
Raudel Avila, Yixin Wu, Rinaldo Garziera, John A Rogers, Yonggang Huang
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引用次数: 1

Abstract

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.

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具有药物输送能力的电化学生物电子学中流量及其最大值的分析建模。
具有靶向药物输送能力的柔性生物电子学中的流量控制对于确保及时和安全的输送至关重要。对于小动物的神经科学和药物遗传学研究,这些灵活的生物电子系统可以量身定制,以可控的方式输送小剂量的药物,而不会因过高流速引起的压力而损害周围组织。药物传递过程是通过电化学反应来实现的,电化学反应对内部生物电子腔室施加压力,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。流量的时间分布和全局最大值可以用理想气体定律来控制和模拟。在这里,我们得到了一个解析解,该解将药物传递过程中涉及的相关机械、流体、环境和电化学术语分组为一组三维参数。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有关)的独特组合可用于建立流量模型,并扩大柔性生物电子设计的规模,用于中型和大型动物模型的实验。解析解分为(1)控制最大流量的快速变量和(2)模拟时间剖面的慢变量。这两个变量一起详细说明了整个药物传递过程,并使用三个非维度参数进行控制。将解析模型与其他数值模型进行了比较,结果表明解析模型具有良好的一致性,验证了解析建模方法的有效性。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,并为成功的药物输送提供了分析控制流量及其全局最大值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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