Hybrid Metasurface-Based Mid-Infrared Biosensor for Simultaneous Quantification and Identification of Monolayer Protein

Li, Zhaoyi; Zhu, Yibo; Hao, Yufeng; Gao, Ming; Lu, Ming; Stein, Aaron; Park, Ah-Hyung Alissa; Hone, James C.; Lin, Qiao; Yu, Nanfang

doi:10.1021/acsphotonics.8b01470

Title: Hybrid Metasurface-Based Mid-Infrared Biosensor for Simultaneous Quantification and Identification of Monolayer Protein

Journal Article · Wed Jan 23 00:00:00 EST 2019 · ACS Photonics

DOI:https://doi.org/10.1021/acsphotonics.8b01470· OSTI ID:1504879

^[1];

^[2]; Hao, Yufeng ^[3]; Gao, Ming; Lu, Ming ^[4];

^[4]; Park, Ah-Hyung Alissa ^[3]; Hone, James C. ^[3]; Lin, Qiao ^[3]; Yu, Nanfang ^[3]

Columbia Univ., New York, NY (United States); Harvard Univ., Cambridge, MA (United States)
Columbia Univ., New York, NY (United States); Coherent AI LLC, Redwood City, CA (United States)
Columbia Univ., New York, NY (United States)
Brookhaven National Lab. (BNL), Upton, NY (United States)

Metasurfaces emerge as a promising photonic platform for biosensing because they offer strong optical confinement and tunable optical resonances. Here, we show that metasurface-based biosensors consisting of gold nanoantenna arrays loaded with graphene and working in the mid-infrared (mid-IR) spectral range can achieve simultaneous high-sensitivity and high-specificity detection of biomolecules. Strong light–molecule interactions in deeply subwavelength optical spots created by the biosensors allow us to determine the concentration of protein molecules via spectral shifts of the metasurface resonance. A combination of passive and active tuning of the metasurface sensors allows us to spectrally overlap the metasurface resonance and the protein vibrational modes, so that protein molecules can be identified via their characteristic mid-IR “fingerprints”. As a result, the high sensitivity and specificity of the metasurface sensors enable us to determine the secondary structure of protein immunoglobulin (IgG) molecules 4 orders of magnitude more sensitive than attenuated total reflection Fourier transform infrared spectroscopy.

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Research Organization:: Brookhaven National Lab. (BNL), Upton, NY (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Basic Energy Sciences (BES)

Grant/Contract Number:: SC0012704

OSTI ID:: 1504879

Report Number(s):: BNL-211502-2019-JAAM

Journal Information:: ACS Photonics, Vol. 6, Issue 2; ISSN 2330-4022

Publisher:: American Chemical Society (ACS)Copyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 38 works

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