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Related Experiment Video

Updated: Sep 19, 2025

A Microfluidic Chip for ICPMS Sample Introduction
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Paper-based microfluidics: Analyte-driven imbibition under the lens.

Sumit Kumar Mehta1, Shubham Kumar, Amy Q Shen2

  • 1Microfluidics and Microscale Transport Processes Laboratory, Department of Mechanical Engineering, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India.

Biomicrofluidics
|June 2, 2025
PubMed
Summary
This summary is machine-generated.

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Analyte transport in paper diagnostics is complex. This study reveals how particle size, concentration, and paper properties impact fluid wicking and analyte retention, offering design improvements for lateral flow assays.

Area of Science:

  • Microfluidics
  • Biomaterials Science
  • Analytical Chemistry

Background:

  • Paper-based microfluidic devices are crucial for point-of-care diagnostics.
  • Understanding analyte transport in partially saturated porous media is essential for assay optimization.
  • Current models often lack sufficient characterization of fundamental transport mechanisms.

Purpose of the Study:

  • To systematically investigate analyte/colloid transport dynamics in paper-based microfluidics.
  • To quantify the influence of particle size, concentration, and saturation on wicking and retention.
  • To develop a predictive model for analyte flow in paper diagnostic devices.

Main Methods:

  • Utilized model food-dye colloids with varying particle sizes and concentrations.

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  • Quantified saturation-dependent parameters influencing wicking length and analyte retention.
  • Developed a semi-empirical numerical model using van Genuchten and Brooks-Corey parameters.
  • Performed Damköhler number analysis for flow and reaction dynamics.

    • Main Results:

    • Particle size, concentration, and paper properties significantly modulate wicking length and analyte retention.
    • Experimentally derived parameters were incorporated into a predictive numerical model.
    • The model accurately predicts analyte flow under varying experimental conditions.
    • Damköhler number analysis provided insights into optimal test line placement.

    Conclusions:

    • Particle characteristics and substrate properties are critical determinants of transport in paper diagnostics.
    • The developed modeling framework enhances understanding for rational design of lateral flow assays.
    • Findings offer practical guidelines for improving reproducibility and sensitivity in paper-based diagnostic platforms.