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

Sheng Fu Lin, Chih Ming Wang, Ya Lun Tsai, Ting Jou Ding, Tsung Hsun Yang, Wen Yih Chen, Song Feng Yeh, Jenq Yang Chang

Research output: Contribution to journalArticlepeer-review

25 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

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