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Asymmetric split H-shape nanoantennas for molecular sensing.

I G Mbomson1, S Tabor1, B Lahiri1

  • 1School of Engineering, University of Glasgow, Glasgow, G12 8LT, UK.

Biomedical Optics Express
|January 20, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces a highly sensitive biosensor using gold asymmetric nanoantennas to detect C-H bonds. The novel biosensor achieves significant molecular resonance enhancement for detecting 17β-estradiol (E2).

Keywords:
(130.6010) Sensors(250.5403) Plasmonics

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Area of Science:

  • Plasmonics
  • Nanotechnology
  • Biosensing

Background:

  • C-H bond vibrational resonances are crucial for molecular detection.
  • Existing biosensing methods often lack sufficient sensitivity for certain analytes.
  • Plasmonic nanoantennas offer potential for enhancing molecular signals.

Purpose of the Study:

  • To develop a highly sensitive biosensor for detecting C-H bond vibrations.
  • To utilize gold asymmetric nanoantennas for signal enhancement.
  • To assay the detection of 17β-estradiol (E2) using the developed biosensor.

Main Methods:

  • Fabrication of gold asymmetric-split H-shape (ASH) nanoantenna arrays.
  • Tuning nanoantennas to achieve plasmonic resonances overlapping with C-H bond vibrational resonances.
  • Measurement and numerical simulation of reflectance spectra for deposited 17β-estradiol (E2) films.
  • Analysis of enhancement factors and sensitivity.

Main Results:

  • Demonstrated molecular resonance enhancement of C-H bonds by a factor of approximately 105.
  • Achieved a high sensitivity of 2335 nm/RIU for 17β-estradiol (E2) detection.
  • Obtained a figure of merit of approximately 8 for the biosensor.
  • Experimental results were validated through numerical simulations.

Conclusions:

  • Gold asymmetric nanoantennas are effective for enhancing molecular resonances of C-H bonds.
  • The developed ASH nanoantenna array biosensor exhibits high sensitivity and a good figure of merit.
  • This technology shows promise for sensitive molecular detection and analysis.