Simulation Of Protein Separation In Microchannel And Fluoroscopy Detecting System

The need to separate and characterize materials is a critical function in many fields that contribute to development. For example, a doctor needs to identify a virus and analyze it by separating it from infected blood, synthetic chemists need to identify their final products and measure reaction yields and purities, pharmaceutical scientists need to study the rate of diffusion of drugs from liposomes as well as the physical structure of the liposomes, environmental and geochemists need to study pollutant transport mechanisms, and DNA has been separated and measured in Human Gene Planning. All these studies make use of some analytical techniques. Many research groups are working on different analytical techniques and methods for performing effective separations in microfluidics field. Increasing resolution, selectivity, sensitivity and decreasing analysis time and cost are the main concerns in this regard. Research developments in this direction can provide more reliable and rugged separation techniques. Applying a transverse field could contribute to reduce runtimes and minimize adverse effects on delicate samples, particularly those of biological origin. This work has developed simulation software that studies the transport of protein in field flow microchannel, and has analyzed the effect of lateral field strength, the scale of microchannel, the character of flow field to the transport and separation of protein. A set of fluoroscopy detecting system has been builded for detecting the separation of proteins. This work will help in separating and analyzing protein. This work has tow intentions. Firstly, this work will study the effect of some factors in Field Flow Fractionation to separate proteins. Secondly, this work will build up a set of fluoroscopy detecting system for microfluidics. Some differential equations dominate the separation rules. Fluid flowing is governed by N-S equations. Therefore, this work has studied the solution of (particial) differential equations before simuliation. The following three rules have been found, which is different with some rules before. 1. Mesh affects the solving result. It has been found that the solving result precision is not higher when mesh gird number is more. This rule is different with rules used. 2. The condition to end iterating affects the solving result. It is not that the condition is smaller; the solving result precision is higher. This rule is different with rules used too. Moreover, I have found that the condition and the error are the same order. 3. Relaxation factor affects the solving result. The relaxation factor is between 0 and 2 acording to Gauss-Seidel rule. In addition, we all know that the relaxation factor is between 1 and 2 to linear problem while between 0 and 1 to nolinear problem. Beside these, no other rules have been known. However, in this work, I have found that the relaxation factor is 1, 1.1, 1.9, 0.1 and 0.9 generally better. The three rules are important and significative for numerical method. In the study of the simulation of field flow fractionation (FFF), the following rules have been found. 1. The inlet length is very small, less than 1mm. That meams flowing develops very quickly. 2. The inlet velocity affects the inlet length lightly. This effect can be ignored in experimentation. However, it affects the developed velocity.