Metasurface-enhanced photothermal imaging and biomolecule detection

We present a plasmonics metasurface-integrated photothermal heterodyne imaging (M-PHI) system, which leverages the strong near-field enhancement of engineered metasurfaces to amplify photothermal signals. While photothermal heterodyne imaging is a widely used label-free technique for visualizing chemical bonds, its sensitivity is constrained by the inherently low absorption cross-section of molecules in the mid-infrared. By integrating a plasmonic metasurface, the M-PHI system enhances absorption at the vibrational signatures of molecules, achieving over a 12-fold enhancement in imaging signals. This advancement enables the detection of biomolecules at concentrations below 400nM without surface functionalization.

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Publication Details

Published
2025-09-16
DOI
https://doi.org/10.1117/12.3065116
Primary Topic
Photoacoustic and Ultrasonic Imaging
Type
article
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article

Metasurface-enhanced photothermal imaging and biomolecule detection

Siying Peng
Photoacoustic and Ultrasonic Imaging
article

Metasurface-enhanced photothermal imaging and biomolecule detection

Siying Peng
article en

Abstract

We present a plasmonics metasurface-integrated photothermal heterodyne imaging (M-PHI) system, which leverages the strong near-field enhancement of engineered metasurfaces to amplify photothermal signals. While photothermal heterodyne imaging is a widely used label-free technique for visualizing chemical bonds, its sensitivity is constrained by the inherently low absorption cross-section of molecules in the mid-infrared. By integrating a plasmonic metasurface, the M-PHI system enhances absorption at the vibrational signatures of molecules, achieving over a 12-fold enhancement in imaging signals. This advancement enables the detection of biomolecules at concentrations below 400nM without surface functionalization.

Westlake University (CN)
Openalex Percentile: Top 76%
Photoacoustic and Ultrasonic Imaging
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Metasurface-enhanced photothermal imaging and biomolecule detection — Siying Peng · (2025) | TGRS Research Map | TGRS