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Wavelength-multiplexed hook nanoantennas for machine learning enabled mid-infrared spectroscopy.

Zhihao Ren1,2,3, Zixuan Zhang1,2,3, Jingxuan Wei1,2,3

  • 1Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.

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|July 5, 2022
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This study introduces wavelength-multiplexed hook nanoantennas (WMHNAs) for ultrasensitive molecular detection. These nanoantennas achieve 100% accuracy in identifying mixed alcohols, enabling real-time, label-free chemical diagnostics.

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Area of Science:

  • Plasmonics
  • Nanotechnology
  • Spectroscopy

Background:

  • Infrared (IR) plasmonic nanoantennas (PNAs) enable molecular identification via IR fingerprint absorption.
  • Current PNAs face limitations in sensitivity and bandwidth due to small molecule-PNA overlap and sharp resonance peaks.

Purpose of the Study:

  • To overcome PNA limitations by developing a loss engineering method using hook nanoantennas (HNAs).
  • To achieve ultrasensitive vibrational probing across an ultra-broadband IR region.
  • To enable label-free, real-time molecular recognition for chemical and biological diagnostics.

Main Methods:

  • Engineered damping rates by reducing radiative loss in hook nanoantennas (HNAs).
  • Developed wavelength-multiplexed HNAs (WMHNAs) with gradient dimensions for ultra-broadband spectral multiplexing (6–9 μm).
  • Applied a machine learning method to extract molecular information from multi-dimensional WMHNA features.

Main Results:

  • WMHNAs demonstrated ultrasensitive vibrational probing in a continuous ultra-broadband region.
  • A proof-of-concept identified mixed alcohols (methanol, ethanol, isopropanol) with 100% accuracy.
  • The integrated microfluidic WMHNA system enabled accurate molecular recognition.

Conclusions:

  • Loss engineering and spectral multiplexing optimize PNAs for enhanced sensitivity and bandwidth.
  • WMHNAs offer a new degree of freedom for PNA design.
  • This approach facilitates small-volume, real-time, label-free molecular recognition of various species at low concentrations.