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Orientation Sensitive SEIRA Sensors Based on Single-Walled Carbon Nanotube Near Fields. | LitMetric

Orientation Sensitive SEIRA Sensors Based on Single-Walled Carbon Nanotube Near Fields.

Nano Lett

Center for Nanoscale Materials, Argonne National Laboratory, Lemont, Illinois 60439, United States.

Published: August 2024

AI Article Synopsis

  • * The research presents a SEIRA sensor that utilizes mid-infrared surface plasmon resonances supported by single-walled carbon nanotubes (SWCNTs), which have unique properties due to their one-dimensional structure.
  • * The study finds that SWCNTs exhibit notable polarization selective coupling between their surface plasmons and the vibrational modes of chemical bonds, achieving a 15% modulation in the plasmon resonance peak with submonolayer coverage, indicating their potential as a sensitive platform for molecular analysis.

Article Abstract

Molecular vibrations that bear information about intrinsic properties of chemical compounds are challenging to detect at submonolayer densities. Surface-enhanced infrared absorption (SEIRA) spectroscopy has been proven to be a viable approach to enhance and detect weak vibration signals. Here, we report a SEIRA sensor based on mid-infrared surface plasmon resonances supported by single-walled carbon nanotubes (SWCNTs). Due to the 1D nature of SWCNTs, their plasmon modes are highly polarized with the electromagnetic fields spatially confined to nanometer scales. Leveraging these characteristics of SWCNTs, we observe a polarization selective coupling between their surface plasmons and vibrational modes of chemical bonds introduced onto their surfaces. A maximum modulation of ∼15% to the plasmon resonance peak is obtained for a submonolayer chemical group coverage. These findings suggest that SWCNTs may potentially serve as a highly sensitive SEIRA platform for revealing intricate information about molecular compositions and bond orientations.

Download full-text PDF

Source
http://dx.doi.org/10.1021/acs.nanolett.4c02618DOI Listing

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