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Microfluidic chip based micro RNA detection through the combination of fluorescence and surface enhanced Raman

Zhile Wang1, Shenfei Zong1, Zhuyuan Wang1

  • 1Advanced Photonics Center, Southeast University, Nanjing 210096, People's Republic of China.

Nanotechnology
|February 1, 2017
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Summary

This study introduces a new microfluidic chip method combining fluorescence and surface-enhanced Raman scattering (SERS) for sensitive microRNA (miRNA) detection. The dual-signal approach improves accuracy and simplifies analysis for disease research.

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Area of Science:

  • Analytical Chemistry
  • Biotechnology
  • Nanotechnology

Background:

  • MicroRNA (miRNA) detection is crucial for understanding diseases.
  • Existing methods for miRNA detection often lack sensitivity or are complex.
  • Novel approaches are needed for rapid and accurate miRNA quantification.

Purpose of the Study:

  • To develop a novel microfluidic chip-based method for sensitive miRNA detection.
  • To combine fluorescence and surface-enhanced Raman scattering (SERS) spectroscopies for enhanced detection.
  • To improve sensitivity, linearity, and simplicity in miRNA analysis.

Main Methods:

  • Immobilization of silver nanoparticles (Ag NPs) on a glass slide to create a SERS substrate.
  • Attachment of a molecular beacon (MB) labeled with 6-FAM (fluorophore and SERS reporter) to the SERS substrate.
  • Utilizing the opposite intensity changes in fluorescence and SERS signals upon target miRNA binding to the MB.

Main Results:

  • The method achieved improved sensitivity and linearity for miRNA detection compared to single-spectroscopy methods.
  • The combined fluorescence and SERS signals showed opposite trends correlating with target miRNA concentration.
  • The microfluidic chip format reduced reaction time, reagent usage, and overall detection complexity.

Conclusions:

  • The presented dual-modal optical detection method offers enhanced performance for miRNA quantification.
  • The microfluidic integration provides a simple, rapid, and sensitive platform for miRNA analysis.
  • This approach holds significant potential for the investigation of miRNA-related diseases.