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Related Experiment Video

Updated: May 18, 2026

Fluorescence detection methods for microfluidic droplet platforms
14:16

Fluorescence detection methods for microfluidic droplet platforms

Published on: December 10, 2011

Enhanced fluorescence detection using liquid-liquid extraction in a microfluidic droplet system.

Yan-Yu Chen1, Zhao-Ming Chen, Hsiang-Yu Wang

  • 1Department of Chemical Engineering, National Cheng Kung University, Tainan, Taiwan. hywang@mail.ncku.edu.tw.

Lab on a Chip
|September 12, 2012
PubMed
Summary

This study introduces a microfluidic method to reduce fluorescence background for better cell detection. The technique significantly enhances signal quality in fluorescence-based assays.

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Area of Science:

  • Biotechnology
  • Analytical Chemistry
  • Cell Biology

Background:

  • Accurate outcomes in microfluidic assays depend on reducing fluorescence background.
  • Enhanced detection quality is crucial for biomolecule analysis in microfluidic systems.

Purpose of the Study:

  • To demonstrate an integrated process for fluorescence background reduction and biomolecule detection in microfluidic droplets.
  • To investigate the efficiency of liquid-liquid extraction for removing hydrophobic dyes and improving signal-to-noise ratio.

Main Methods:

  • Utilized a microfluidic droplet system for liquid-liquid extraction.
  • Employed Nile red dye for cellular lipid labeling in Chlorella vulgaris and NIH/3T3 cells.
  • Analyzed the impact of continuous phase volume and droplet surface area to volume ratio on background reduction.

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Last Updated: May 18, 2026

Fluorescence detection methods for microfluidic droplet platforms
14:16

Fluorescence detection methods for microfluidic droplet platforms

Published on: December 10, 2011

Multicolor Fluorescence Detection for Droplet Microfluidics Using Optical Fibers
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Multicolor Fluorescence Detection for Droplet Microfluidics Using Optical Fibers

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Automated System for Single Molecule Fluorescence Measurements of Surface-immobilized Biomolecules

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Main Results:

  • Achieved an 85% reduction in fluorescence background for lipid detection.
  • Demonstrated increased removal efficiency with larger continuous phase volumes and higher surface area to volume ratios.
  • Significantly improved signal-to-noise ratio (17-fold for Chlorella vulgaris, 10-fold for NIH/3T3) after Nile red removal.

Conclusions:

  • The proposed method effectively enhances fluorescence detection of cellular lipids in microfluidic systems.
  • This technique shows significant potential for improving other fluorescence-based detection methods in microfluidics.