Mathematical Model of Serodiagnostic Immunochromatographic Assay

Dmitriy V Sotnikov1, Anatoly V Zherdev1, Boris B Dzantiev1

  • 1A.N. Bach Institute of Biochemistry, Federal Research Centre "Fundamentals of Biotechnology", Russian Academy of Sciences , Leninsky Prospect 33, Moscow 119071, Russia.

Analytical Chemistry
|March 25, 2017
PubMed

Insights

This study presents a mathematical model for immunochromatographic assays to detect specific immunoglobulins. The model optimizes reagent concentrations and interaction constants to improve detection limits for antibody detection.

Area of Science:

  • Biomedical Engineering
  • Immunochemistry
  • Analytical Chemistry

Background:

  • Immunochromatographic assays (ICAs) are widely used for detecting specific immunoglobulins in serodiagnosis.
  • Understanding the kinetics of immune complex formation is crucial for optimizing ICA performance.
  • Existing models may not fully capture the complex dynamics within continuous-flow systems.

Purpose of the Study:

  • To develop an analytical mathematical model for immunochromatographic assays.
  • To investigate the influence of immunochemical interaction constants and reagent concentrations on immune complex formation kinetics.
  • To provide recommendations for reducing the detection limit of specific immunoglobulin detection.

Main Methods:

  • Development of an analytical (non-numerical) mathematical model.
  • Utilizing common software (e.g., Microsoft Excel) for calculations.
  • Analysis of immune complex formation kinetics in a continuous-flow system.

Main Results:

  • The model successfully predicts the kinetics of immune complex formation.
  • Identified the specific impact of interaction constants and reagent concentrations on assay performance.
  • Established a framework for optimizing reagent concentrations to enhance sensitivity.

Conclusions:

  • The developed mathematical model offers a valuable tool for understanding and optimizing immunochromatographic assays.
  • The findings provide practical recommendations for improving the detection limit of specific immunoglobulins.
  • This analytical approach facilitates the design of more sensitive and efficient diagnostic tests.