Modeling of drug delivery into tissues with a microneedle array using mixture theory

Area of Science:

• Biomedical Engineering
• Computational Biology
• Pharmacokinetics

Background:

• Drug delivery systems require accurate modeling for effective therapeutic outcomes.
• Microneedle arrays offer a promising transdermal drug delivery method.
• Understanding drug diffusion in biological tissues is crucial for optimizing delivery.

Purpose of the Study:

• To quantitatively predict the transient behavior of drug delivery via microneedle arrays into biological tissue.
• To develop a computational model integrating mixture theory and moving mesh methods for drug delivery simulation.
• To analyze drug concentration distributions within tissues and blood capillaries.

Main Methods:

• Application of mixture theory to model biological tissue as a multi-phase fluid-saturated porous medium.
• Utilizing conservation equations from multi-phase models to describe tissue behavior.
• Integration of moving mesh methods to handle the moving interface during drug flow.
• Incorporation of drug absorption by blood capillaries and tissue cells into the model.

Main Results:

• Numerical simulations successfully predicted transient drug delivery behavior.
• Quantitative drug concentration distributions within tissues were obtained.
• Drug absorption into blood capillaries and tissue cells was modeled.

Conclusions:

• The combined approach of mixture theory and moving mesh methods provides a robust framework for modeling microneedle-based drug delivery.
• This model enables accurate prediction of drug concentration profiles, aiding in the design of optimized drug delivery strategies.
• The study highlights the potential for computational modeling to enhance the efficacy and safety of microneedle drug delivery systems.