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Fiber Optic Sensor of Ammonia Gas Using Plasmonic Extraordinary Optical Transmission
Ladislav Kalvoda1, Jaroslava Jakoubková1, Milan Burda1
1Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Břehová 7, 115 19 Prague, Czech Republic.
Sensors (Basel, Switzerland)
|April 28, 2023
Summary
This study introduces a novel ammonia gas sensor using plasmonic nanostructured arrays and fiber optics. The device leverages the extraordinary optical transmission effect for sensitive and selective gas detection.
Area of Science:
- Plasmonics
- Nanophotonics
- Chemical Sensing
Background:
- Standard surface plasmon resonance sensing is well-established.
- Plasmonic nanostructured arrays for sensing, particularly gas sensing, are less explored.
- Extraordinary optical transmission (EOT) offers potential for novel sensing platforms.
Purpose of the Study:
- To demonstrate an ammonia gas sensor based on plasmonic nanostructured arrays.
- To combine fiber optics, EOT, and a chemo-optical transducer for gas detection.
- To investigate the sensing mechanism and compare experimental data with theoretical predictions.
Main Methods:
- Fabrication of a gold nanostructured periodic hole array using focused ion beam milling.
- Integration of a chemo-optical transducer (a metallic dye in PDMS matrix) sensitive to ammonia.
- Characterization of spectral transmission using fiber optics and analysis of extraordinary optical transmission (EOT) spectra.
- Theoretical modeling using the rigorous Fourier modal method (FMM).
Main Results:
- The developed system demonstrated selective spectral sensitivity to ammonia gas.
- Observed visible-near-infrared (VIS-NIR) EOT spectra correlated well with FMM predictions.
- The study provides insights into the gas sensing mechanism of the EOT system.
Conclusions:
- Plasmonic nanostructured arrays combined with EOT and fiber optics offer a promising approach for gas sensing.
- The chemo-optical transducer exhibits selective spectral sensitivity to ammonia.
- Theoretical modeling aids in understanding and optimizing plasmonic sensing systems.

