Over the last two years, I have seen an increased interest in using simulation software to better understand microfluidics processes. The two most common and important reasons for considering integration of simulation software into microfluidics processes have been to reduce device cost and improve quality control.<\/p>\n
Microfluidics processes are truly multiphysics in nature, requiring a robust simulation tool to accurately capture all of the physics involved. Certain physics like surface tension become more prominent at the micro scales at which microfluidics processes work. Coupled to surface tension are other physics in play, such as electro-osmosis, electro-kinetics and visco-elasticity. In short, microfluidic simulations can be very complex. An accurate simulation tool can provide insights to the designer about the microfluidic device and help him develop a more efficient and better design. One such example is analyzing an acoustophoretic particle focusing device that removes a variety of objects from solutions in a microfluidic channel. The process is applicable to malignant cell removal, nanoparticle separation, and sequestration of suspended liquids. Another application is to understand the dynamics that govern the formation of lenses using fluids (optofluidics) in microfluidic channels. Optofluidics combines elements of optics and microfluidics<\/a> and finds applications in biosensors, displays, lab-on-chip devices, molecular imaging and lenses.<\/p>\n Going back to the acoustophoretic particle focusing device, using inappropriate control parameters such as acoustic wave frequency can lead to forces that may cause some malignant cells to avoid getting separated from the bloodstream. The animation below shows an acoustophoretic device that focuses all the representative malignant particles to the middle of the device, which can then be safely extracted from the solution.<\/p>\n