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Distance versus Capillary Flow Dynamics-Based Detection Methods on a Microfluidic Paper-Based Analytical Device

Soo Chung1, Christian M Jennings2, Jeong-Yeol Yoon1,2

  • 1Department of Biosystems Engineering, The University of Arizona, Tucson, AZ, 85721, USA.

Chemistry (Weinheim an Der Bergstrasse, Germany)
|June 4, 2019
PubMed
Summary
This summary is machine-generated.

Microfluidic paper-based analytical devices (μPADs) offer low-cost sensing, but face limitations. This review explores alternative detection methods like distance-based and capillary flow dynamics for improved performance.

Keywords:
analytical methodscapillary flow dynamicsmachine learningmicrofluidicspoint-of-care diagnostics

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Area of Science:

  • Analytical Chemistry
  • Biomedical Engineering
  • Materials Science

Background:

  • Microfluidic paper-based analytical devices (μPADs) are gaining interest for accessible chemical and biological sensing.
  • μPADs offer advantages like spontaneous liquid flow and inherent filtration.
  • Current optical and electrochemical detection methods on μPADs have limitations including sensitivity and equipment needs.

Purpose of the Study:

  • To review alternative detection methods for μPADs to overcome existing limitations.
  • To discuss distance-based measurements and capillary flow dynamics-based methods.
  • To evaluate the potential of these methods for point-of-care diagnostics.

Main Methods:

  • Review of existing literature on μPAD detection techniques.
  • Analysis of distance-based measurement principles and performance.
  • Examination of capillary flow dynamics-based detection principles and performance.

Main Results:

  • Identified limitations of current optical and electrochemical detection on μPADs.
  • Detailed explanation of detection principles for distance-based and capillary flow dynamics methods.
  • Comparison of assay performance, strengths, and weaknesses of alternative methods.

Conclusions:

  • Alternative detection methods show promise for enhancing μPAD capabilities.
  • Distance-based and capillary flow dynamics offer potential solutions to current limitations.
  • These advancements could significantly impact field-based applications and point-of-care medical diagnostics.