Microfluidic Control Chip System-level Modeling Study

Microfluidic control system have great promise for a wide spectrum of applications in biology, medicine, and chemistry due to its tremendous advantages over conventional analysis methods, such as orders-of-magnitude analysis speedup, extremely low biosample consumption, high levels of integration and so on. Efficient modeling and simulation to assist designs of microfluidic control system at system level is a great part of computer aided design software of Micro Electrical Mechanical Systems (MEMS). Microfluidic mixer based on EK and electrophoretic seperation chips are great part of microfluidic control system. This paper present a system level modeling for microfluidic mixer based on EK and electrophoretic seperation Chips.In the system level modeling of microfluidic mixer based on EK, The parameterized behavior models were developed based on the control function of electrokinetic passive micromixers. Then the multiport element was coded with hardware description language MAST based on the parameterized behavior models. The validity of the system level simulation of a simple electrokinetic passive micromixer with the finite element analysis. Simulation result shows that the parameterized behavior models of this paper is agree well with finite element analysis, and the model is effective for rapidly performing system -level simulation.In the system level modeling for electrophoretic seperation chips, The paper present a system-oriented model for analyzing the dispersion of electrophoretic transport of charged analyte molecules in a general-shaped microchannel base on the theory of electrophoretic. Then the parameterized behavior models were developed based on the control function of the electrophoretic seperation chips. Then the multiport element was developed based on the parameterized behavior models. The validity of the system level simulation of an electrophoretic seperation with a finite element analysis is then developed in four different zones. Simulation result also shows that the parameterized behavior models of this paper is agree well with finite element analysis, and the model is effective for rapidly performing system -level simulation.