Deciphering immunodiffusion: In silico optimization for faster protein diagnostics

被引：1

作者：

Liu, Chong ^{[1
]}

Corrie, Simon ^{[2
,3
,4
]}

Regenauer-Lieb, Klaus ^{[5
,6
]}

Hu, Manman ^{[1
]}

机构：

[1] Univ Hong Kong, Dept Civil Engn, Hong Kong, Peoples R China

[2] Monash Univ, Dept Chem & Biol Engn, Clayton, Vic 3800, Australia

[3] Monash Univ, Bioresource Proc Res Inst Australia BioPRIA, Clayton, Vic 3800, Australia

[4] Monash Univ, Ctr Impact AMR, Clayton, Vic 3800, Australia

[5] Curtin Univ, WA Sch Mines Minerals Energy & Chem Engn, Perth, WA, Australia

[6] UNSW Sydney, Sch Minerals & Energy Resources Engn, Sydney, NSW, Australia

来源：

TALANTA | 2024年 / 277卷

基金：

澳大利亚研究理事会;

关键词：

Immunodiffusion; Precipitin ring; Precipitin complex; Reaction -diffusion systems; DIFFUSION; FRONT; GEL;

D O I：

10.1016/j.talanta.2024.126385

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

Immunodiffusion tests offer a simple yet powerful method for detecting protein antigens, but their long assay times hinder clinical utility. We unveil the complex interplay of parameters governing this process using finite element simulations. By meticulously validating our model against real-world data, we elucidate how initial concentrations and diffusivities of antigen and antibody shape the intensity, size, and formation time of the precipitin ring. Our key innovation lies in employing phase diagram analysis to map the combined effects of these parameters on assay performance. This framework enables rapid in silico parameter estimation, paving the way for the design of novel immunodiffusion assays with drastically reduced assay times. The presented approach holds immense potential for optimizing protein diagnostics for fast and reliable diagnostics.

引用

页数：10

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