Geometry optimization for fluid transport of a bio-inspired nano-fluidic system

A bio-inspired nano-fluidic system mimicking the nuclear pore complex (NPC) is investigated for fluidic transport by optimizing the geometry. In general, nuclear pore complex contains very distinct geometrical components to allow various macromolecules very effectively through the pore. In order to understand and design fluidic systems for drug delivery and other applications, this study explored the optimization of a central plug location of NPC for achieving the maximum velocity for fluidic transport. The approach involves conducting fluid simulations with ANSYS software and optimizing the results using EXCEL and Genetic Algorithm (GA) optimization including GANetXL and MATLAB software. Based on the results obtained, one configuration of the central plug location achieved maximum velocity through the modeled nano-fluidic system. Currently, the nano-fluidic system is further optimized for manufacturing and eventually, testing to validate the optimized design.