Skip to main navigation Skip to search Skip to main content

A model for fast predicting and optimizing the sensitivity of surface-relief guided mode resonance sensors

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

Abstract

A modified waveguide model for predicting the sensitivity of surface-relief guided mode resonance (GMR) biosensors is presented. The proposed model is a convenient and fast calculation method compared to the current optical simulation tools such as the rigorous couple wave analysis (RCWA). A systematic and theoretical discussion of the GMR geometric structure and sensitivity of the modified model for biosensing is also presented. For a given GMR material, the theoretical maximum sensitivity can be achieved by choosing the proper geometric structure from the model simulations. A comparison of the GMR biosensor sensitivity respectively calculated by the model and the RCWA method shows good agreement. Finally, a suspending GMR structure with a 4.5-fold increase in sensitivity compared to the traditional surface-relief GMR is proposed.

Original languageEnglish
Pages (from-to)1197-1203
Number of pages7
JournalSensors and Actuators, B: Chemical
Volume176
DOIs
StatePublished - 2013

Keywords

  • Bulk sensitivity
  • Guided mode resonance device
  • Optical biosensors
  • Waveguide

Fingerprint

Dive into the research topics of 'A model for fast predicting and optimizing the sensitivity of surface-relief guided mode resonance sensors'. Together they form a unique fingerprint.

Cite this