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Fabrication and Testing of Microfluidic Optomechanical Oscillators
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Optomechanical time-domain reflectometry.

Gil Bashan1, Hilel Hagai Diamandi1, Yosef London1

  • 1Faculty of Engineering and Institute for Nano-Technology and Advanced Materials, Bar-Ilan University, Ramat-Gan, 5290002, Israel.

Nature Communications
|August 2, 2018
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Summary
This summary is machine-generated.

This study introduces optomechanical time-domain reflectometry, a novel fiber optic sensing method. It enables distributed analysis of external media, overcoming limitations of traditional fiber sensors.

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Area of Science:

  • Photonics and Sensing
  • Optomechanics
  • Distributed Sensing

Background:

  • Optical fibers are excellent sensing platforms but typically measure conditions within the core.
  • Existing distributed fiber sensors are limited to core-confined measurements.
  • Sensing external media outside standard optical fibers presents a significant challenge.

Purpose of the Study:

  • To develop a distributed sensing method for analyzing media outside unmodified standard optical fibers.
  • To overcome the limitation of forward scattering from guided acoustic waves in distributed sensing.
  • To establish a new fiber optic sensor configuration for external environment monitoring.

Main Methods:

  • Utilizing stimulated scattering by guided acoustic modes to detect external conditions.
  • Mapping Rayleigh backscatter contributions of two optical tones coupled by acoustic waves.
  • Implementing optomechanical time-domain reflectometry for distributed analysis.

Main Results:

  • Demonstrated distributed analysis over 3 km of fiber with 100 m resolution.
  • Successfully distinguished between air, ethanol, and water outside the fiber cladding.
  • Differentiated between air and water outside polyimide-coated fibers.

Conclusions:

  • Established optomechanical time-domain reflectometry as a new fiber optic sensor configuration.
  • The developed protocol enables distributed sensing of external media, expanding fiber optic sensing capabilities.
  • This technique offers potential for various new applications in distributed environmental monitoring.