Abstract

Photonic crystal surfaces that can be fabricated inexpensively over large surface areas can be designed to produce optical resonances for any desired wavelength in the optical spectrum from ultraviolet to infrared. Label-free biosensing is obtained by measuring shifts in the resonant wavelength as biomaterial deposits on the photonic crystal, while the intensified electric fields that occur due to coupling of illumination at the resonant wavelength may be used to more effectively excite fluorescence or Raman scattering. Photon emitters, such as quantum dots, fluorescent dye molecules, and Raman scatters can efficiently couple their energy to detection instruments when they are in close proximity to a photonic crystal with a resonance that matches the emission wavelength. Finally, the narrowband optical filtering capability of photonic crystals can be effectively applied for infrared absorption imaging of biological specimens at discrete wavelengths. This talk will summarize recent activities in the Nano Sensors Group at the University of Illinois in which photonic crystals are used to address a variety of problems in biological sensing.

Original languageEnglish (US)
Title of host publicationSilicon Photonics VII
DOIs
StatePublished - Mar 19 2012
EventSilicon Photonics VII - San Francisco, CA, United States
Duration: Jan 22 2012Jan 25 2012

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8266
ISSN (Print)0277-786X

Other

OtherSilicon Photonics VII
Country/TerritoryUnited States
CitySan Francisco, CA
Period1/22/121/25/12

Keywords

  • Chemical imaging
  • Fluorescence enhancement
  • Label-free biosensors
  • Photonic crystals
  • Raman scattering
  • SERS

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

Fingerprint

Dive into the research topics of 'Photonic crystals: A versatile platform for optics-based biological detection'. Together they form a unique fingerprint.

Cite this