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Area of Science:

  • Biomolecular analysis
  • Point-of-care diagnostics
  • Mobile health technology

Background:

  • Droplet-based digital bioassays offer high sensitivity for biomolecule analysis.
  • Current digital bioassays rely on bulky fluorescence microscopy, hindering point-of-care applications.

Purpose of the Study:

  • To develop a compact, smartphone-based mobile imaging platform for digital bioassays.
  • To demonstrate the platform's capability for quantitative analysis of enzymes and viruses.

Main Methods:

  • Development of a portable smartphone-based imaging platform (23 × 10 × 7 cm).
  • Assay of bovine alkaline phosphatase activity.
  • Digital counting of influenza virus particles using a neuraminidase activity assay.

Main Results:

  • Successful digital enzyme assay and influenza virus counting.
  • Observed distinct fluorescence spots from single virus particles.
  • Demonstrated good linearity between detected spots and virus titer, achieving high sensitivity.
  • Detected clinical samples with 100x greater sensitivity than commercial rapid tests.

Conclusions:

  • The smartphone-based platform is suitable for sensitive and quantitative digital bioassays.
  • This technology shows significant potential for developing point-of-care influenza virus detection systems.
  • The platform offers a portable and accessible alternative to traditional fluorescence microscopy for diagnostics.