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Area of Science:

  • Microfluidics
  • Analytical Chemistry
  • Spectroscopy

Background:

  • Microfluidic technology is widely used for chemical and biological reaction studies.
  • Previous work utilized continuous gradient microfluidics with surface-enhanced Raman scattering (SERS) for high-throughput reagent detection.
  • The 'memory effect' from nanoparticle aggregate deposition in continuous flow systems limits sensitivity and reproducibility.

Purpose of the Study:

  • To develop a SERS-based gradient droplet system to overcome the limitations of continuous flow microfluidics.
  • To reduce the 'memory effect' and improve sensitivity and reproducibility in SERS detection.
  • To enable simultaneous monitoring of chemical and biological reactions across various reagent concentrations.

Main Methods:

  • Serial dilution of reagents was performed stepwise using microfluidic concentration gradient generators.
  • Generated reagent concentrations were simultaneously encapsulated into droplets using a two-phase liquid/liquid segmented flow system with an oil mixture.
  • Surface-enhanced Raman scattering (SERS) was employed for detection within the gradient droplets.

Main Results:

  • The gradient droplet system successfully minimized reagent resident time distributions by localizing them within droplets.
  • The 'memory effect' was significantly reduced, resolving the sample stacking problem.
  • This approach enables precise control and detection of various reagent concentrations.

Conclusions:

  • The developed SERS-based gradient droplet system effectively addresses the 'memory effect' in microfluidic SERS analysis.
  • This technology offers enhanced sensitivity and reproducibility for detecting varying reagent concentrations.
  • The system holds significant potential for simultaneous monitoring of diverse chemical and biological processes.