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Methods for counting particles in microfluidic applications.

Hongpeng Zhang1, Chan Hee Chon2, Xinxiang Pan1

  • 11Marine Engineering College, Dalian Maritime University, 116026 Dalian, China.

Microfluidics and Nanofluidics
|March 28, 2020
PubMed
Summary
This summary is machine-generated.

This review explores microfluidic particle counting methods for biomedical diagnostics. Advances in resistive pulse, nanopore, and fluorescence techniques offer improved sensitivity and differentiation, though throughput remains a challenge.

Keywords:
CapacitanceFluorescenceLight blockingLight scatteringMicro PIVMicrofluidicsNanoporeParticle countingResistive pulse senor

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Area of Science:

  • Biomedical Engineering
  • Analytical Chemistry
  • Microfluidics

Background:

  • Microfluidic particle counters are crucial for biomedical diagnostics, including flow cytometry.
  • Various techniques exist, each with unique advantages and limitations.

Purpose of the Study:

  • To review and compare major methods for counting particles in microfluidic devices.
  • To highlight advancements and limitations of current microfluidic particle counting technologies.

Main Methods:

  • Review of microfluidic resistive pulse sensors, nanopore-based methods, capacitance counters.
  • Analysis of light-scattering, light-blocking, and fluorescence detection techniques.
  • Inclusion of micro particle image velocimetry for flow field analysis.

Main Results:

  • Microfluidic resistive pulse sensors offer enhanced sensitivity over traditional Coulter counters.
  • Nanopore methods excel in single DNA molecule analysis; capacitance counters suit low conductivity liquids.
  • Fluorescence detection enables particle differentiation by type, while light-based methods target larger or concentrated particles.

Conclusions:

  • Microfluidic particle counters have diverse applications but generally suffer from low throughput.
  • Integrating multiple counting techniques is essential for practical on-chip applications.
  • Future research should focus on improving throughput and combining methods for comprehensive analysis.