Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 34,
  • Issue 22,
  • pp. 5189-5198
  • (2016)

Lab-on-Fiber Plasmonic Probes for Ultrasound Detection: A Comparative Study

Not Accessible

Your library or personal account may give you access

Abstract

This paper deals with a numerical study on Lab-on-Fiber devices for acoustic (ultrasound) sensing applications. Specifically, four different configurations based on hybrid metallo-dielectric nanostructures—with sub-wavelength dimensions—supporting plasmonic modes are analyzed. A comparison in terms of spectral features and electric field distributions at resonant wavelengths is carried out. For each configuration, sensitivity is evaluated as the reflectivity intensity changes as function of dielectric slab thickness, in the range of a few hundreds of nanometers. We demonstrate that sensitivity can be maximized by exploiting the interplay between different plasmonic modes. The influence of the acousto-optic coefficient is also evaluated. In the plasmonic interaction regime, we find that the acousto-optic effect also contributes to improve the sensitivity performances. Overall, in comparison with Fabry–Perot cavity-based transducers made from same materials and with comparable dimensions, sensitivity enhancement factors of about 3 can be obtained.

© 2016 IEEE

PDF Article
More Like This
Ultrasound detection at fiber end-facets with surface plasmon resonance cavities

Xin Zhou, De Cai, Xiaolong He, Sung-Liang Chen, Xueding Wang, and Tian Yang
Opt. Lett. 43(4) 775-778 (2018)

Numerical study on an application of subwavelength dielectric gratings for high-sensitivity plasmonic detection

Woo Kyung Jung, Nak-Hyeon Kim, and Kyung Min Byun
Appl. Opt. 51(20) 4722-4729 (2012)

Grating-coupling-based excitation of Bloch surface waves for lab-on-fiber optrodes

Michele Scaravilli, Giuseppe Castaldi, Andrea Cusano, and Vincenzo Galdi
Opt. Express 24(24) 27771-27784 (2016)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.