Study on Mathematical Model and Simulation of Competition-type Lateral Flow Immunoassay
- 航空航天－已发表论文 
根据竞争法免疫层析试条的检测原理,本研究将其分为TwA和TnA两种模式,结合对流扩散方程分别建立其数学模型,并运用COMSOL软件对试条的动态反; 应过程进行仿真,得到检测线和质控线上各复合物浓度关于各影响因素的关系曲线。在TwA模式中,分析了待测物浓度[A_0]=0~20mol/L,标记物; 浓度[P_0]= 0.01 ~ 100 mol/L,检测线位于5~20 mm位置等因素对于检测结果的影响;在TnA模式中,分析了[A_0] =; 0 ~ 20 mol/L, [P_0] =0.01~100; mol/L,[A_0]和[P_0]两种物质浓度及孔隙率等因素对于检测结果的影响。结果表明,本研究建立的竞争法模型与仿真能探究各参数对于检测结果的; 影响,优化试条性能,从而提高试条检测灵敏度和实现定量检测。A mathematical model of competition. type lateral flow immunoassay (LFIA) was developed to describe the dynamic process of LFIA. The competition. type LFIA was divided into two categories: TwA-competition. type LFIA and TnA-competition. type LFIA. On the basis of the developed model, the COMSOL software was exploited to simulate the dynamic process of LFIA. The simulation result demonstrated the relationships between the concentrations of substances on the test and control lines and the influence factors. In particular, the influence factors in the TwA-competition. type LFIA included the concentrations of target analyte A (0-20 mol/L) and reporter particle P (0.01-100 mol/L), and the position of the test line (5-20 mm). On the other hand, the influence factors in the TnA-competition. type LFIA included the concentrations of target analyte A (0-20 mol/L) and reporter particle P (0. 01-100 mol/L), and the porosity. Experiment result showed that the developed model could be used to explore the influence of the parameters on the test results, and optimize the performance of LFIA.