夹心法免疫层析试条的数学模型与仿真研究

发布时间：2018-11-20 05:16

【摘要】：基于夹心法免疫层析试条检测原理,结合对流扩散方程和流体动力学方程,建立了夹心法免疫层析试条动态反应过程的数学模型,并通过COMSOL软件对试条动态反应过程进行仿真。分别探究了目标待测物A浓度在0~20 mol/L,标记物P浓度在1×10!2~1×103mol/L以及硝酸纤维素膜的孔隙率在0~1范围内变化时,检测线上夹心复合物浓度关于位置和时间的浓度变化情况,并分析了各物质初始浓度以及试条结构对于检测结果和检测时间的影响。结果表明,在一定浓度范围内,目标待测物A以及标记物P浓度的增加将提高试条的定量检测性能,而孔隙率通过影响混合液流速和混合液中各物质反应接触情况来影响检测结果。
[Abstract]:Based on the principle of sandwich immunochromatographic strip detection, combined with convection diffusion equation and hydrodynamic equation, the mathematical model of the dynamic reaction process of sandwich immunochromatographic strip was established, and the dynamic reaction process of the strip was simulated by COMSOL software. When the concentration of target substance A is 0 ~ 20 mol/L, the concentration of P is 1 脳 10 ~ 2 ~ (-1) 103mol/L, and the porosity of nitrocellulose membrane is in the range of 0 ~ (-1). The change of the concentration of sandwich complex on the detection line about position and time was analyzed. The influence of the initial concentration of each substance and the structure of the sample strip on the detection results and the detection time were analyzed. The results showed that in a certain concentration range, the increase of the concentration of target substance A and marker P would improve the quantitative detection performance of the test strip. The porosity affects the detection results by influencing the flow rate of the mixture and the reaction contact of each substance in the mixture.
【作者单位】：厦门大学仪器与电气系;福州大学福建省医疗器械和医药技术重点实验室;中国科学院深圳先进技术研究院;
【基金】：国家科技部国际合作项目(No.2009DFA32050) 国家自然科学基金(No.61403319) 福建省自然科学基金(No.2015J05131) 福建省生态产业绿色技术重点实验室开放课题资助项目~~
【分类号】：O652

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