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Updated: May 8, 2026

Synthesis and Operation of Fluorescent-core Microcavities for Refractometric Sensing
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Self-referencing optofluidic ring resonator sensor for highly sensitive biomolecular detection.

Ming Li1, Xiang Wu, Liying Liu

  • 1Key Laboratory for Micro and Nano Photonic Structures (Ministry of Education), Department of Optical Science and Engineering, Fudan University , Shanghai 200433, People's Republic of China.

Analytical Chemistry
|September 3, 2013
PubMed
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We developed a self-referencing optofluidic ring resonator (SR-OFRR) biosensor to significantly enhance label-free detection. This novel technique suppresses noise by two orders of magnitude, enabling sensitive detection of biomolecules.

Area of Science:

  • Biomedical Engineering
  • Optical Sensing
  • Nanotechnology

Background:

  • Label-free optical ring resonator sensors are vital for sensitive biochemical detection.
  • Improving noise-suppression is critical for enhancing detection limits in biosensing.
  • Existing techniques often require complex external noise reduction methods.

Purpose of the Study:

  • To develop a novel self-referencing optofluidic ring resonator (SR-OFRR) biosensor.
  • To significantly improve the sensing capabilities of label-free optical biosensors.
  • To achieve ultra-low detection limits for biochemical analysis.

Main Methods:

  • Theoretical analysis of the sensing principle for SR-OFRR.
  • Development of a coupled ring resonator system for noise monitoring.

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  • Experimental application of the SR-OFRR biosensor for biomolecule detection.
  • Main Results:

    • Common-mode noise suppression achieved by 2 orders of magnitude.
    • Demonstrated label-free detection of bovine serum albumin (BSA).
    • Achieved a concentration detection limit on the order of 1 pg/mL (~15 fM).

    Conclusions:

    • The SR-OFRR biosensor offers a robust platform for highly sensitive, label-free detection.
    • The self-referencing design effectively suppresses common-mode noise without external techniques.
    • This advancement holds significant potential for biochemical analysis and disease diagnostics.