Designing Mid-Infrared Gold-Based Plasmonic Slot Waveguides for CO2-Sensing Applications

Parviz Saeidi, Bernhard Jakoby, Gerald Pühringer, Andreas Tortschanoff, Gerald Stocker, Florian Dubois, Jasmin Spettel, Thomas Grille, Reyhaneh Jannesari

Research output: Contribution to journalArticlepeer-review

Abstract

Plasmonic slot waveguides have attracted much attention due to the possibility of high light confinement, although they suffer from relatively high propagation loss originating from the presence of a metal. Although the tightly confined light in a small gap leads to a high confinement factor, which is crucial for sensing applications, the use of plasmonic guiding at the same time results in a low propagation length. Therefore, the consideration of a trade-off between the confinement factor and the propagation length is essential to optimize the waveguide geometries. Using silicon nitride as a platform as one of the most common material systems, we have investigated free-standing and asymmetric gold-based plasmonic slot waveguides designed for sensing applications. A new figure of merit (FOM) is introduced to optimize the waveguide geometries for a wavelength of 4.26 µm corresponding to the absorption peak of CO2, aiming at the enhancement of the confinement factor and propagation length simultaneously. For the free-standing structure, the achieved FOM is 274.6 corresponding to approximately 42% and 868 µm for confinement factor and propagation length, respectively. The FOM for the asymmetric structure shows a value of 70.1 which corresponds to 36% and 264 µm for confinement factor and propagation length, respectively.
Original languageEnglish
Article number2669
Number of pages15
JournalSensors
Volume21
Issue number8
DOIs
Publication statusPublished - 2021

Fields of science

  • 202019 High frequency engineering
  • 202021 Industrial electronics
  • 202036 Sensor systems
  • 203017 Micromechanics
  • 202 Electrical Engineering, Electronics, Information Engineering
  • 202027 Mechatronics
  • 202028 Microelectronics
  • 202037 Signal processing

JKU Focus areas

  • Digital Transformation

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