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Real-Time Ellipsometric Surface Plasmon Resonance Sensor Using Polarization Camera May Provide the Ultimate Detection

Nipun Vashistha1, Marwan J Abuleil1, Anand M Shrivastav1

  • 1Department of Electro-Optic Engineering, Ilse-Katz Institute for Nanoscale Science and Technology, Ben Gurion University, Beer Sheva 84105, Israel.

Biosensors
|February 25, 2023
PubMed
Summary

This study introduces a novel ellipsometric Surface Plasmon Resonance (SPR) sensor for real-time, high-precision biological detection. The new method achieves superior stability and a potential ultimate detection limit for SPR sensors.

Keywords:
ellipsometryphase measurementpolarization camerasurface plasmons

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Area of Science:

  • Optoelectronics
  • Biosensing
  • Surface Chemistry

Background:

  • Ellipsometric Surface Plasmon Resonance (SPR) sensors offer simpler optical setups than interferometric or heterodyne methods.
  • Existing intensity-based ellipsometric SPR sensors face limitations in real-time applications due to serial phase/polarization shifts.

Purpose of the Study:

  • To develop a real-time, high-precision ellipsometric SPR sensor.
  • To overcome the limitations of serial measurements in current ellipsometric SPR sensors.

Main Methods:

  • Utilized a Kretschmann-Raether (KR) diverging beam configuration.
  • Employed a pixelated microgrid polarization camera for simultaneous data acquisition.
  • Measured ellipsometric parameters tanψ and cos(Δ) for enhanced stability.

Main Results:

  • Demonstrated superior short-term stability compared to direct SPR or intensity measurements, especially with fluctuating laser sources.
  • Achieved real-time refractive index and dynamic change measurements.
  • Showcased sub-nM to pM resolution in Bovine Serum Albumin (BSA)-anti-BSA antibody binding assays.

Conclusions:

  • The developed ellipsometric SPR sensor enables real-time, high-precision biological sensing.
  • The methodology offers improved stability and a potential for ultimate detection limits in SPR sensing.
  • This approach holds significant promise for advancing biosensing applications.