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Author:

Liu, F. (Liu, F..) | Jia, H. (Jia, H..) | Chen, Y. (Chen, Y..) | Luo, X. (Luo, X..) | Huang, M. (Huang, M..) | Wang, M. (Wang, M..) | Zhang, X. (Zhang, X..)

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Scopus

Abstract:

Localized surface plasmon resonance (LSPR)-based sensors exhibit enormous potential in the areas of medical diagnosis, food safety regulation and environmental monitoring. However, the broadband spectral lineshape of LSPR hampers the observation of wavelength shifts in sensing processes, thus preventing its widespread applications in sensors. Here, we describe an improved plasmonic sensor based on Fano resonances between LSPR and the Rayleigh anomaly (RA) in a metal–insulator–metal (MIM) meta-grating, which is composed of silver nanoshell array, an isolation grating mask and a continuous gold film. The MIM configuration offers more freedom to control the optical properties of LSPR, RA and the Fano resonance between them. Strong couplings between LSPR and RA formed a series of narrowband reflection peaks (with a linewidth of ~20 nm in full width at half maximum (FWHM) and a reflectivity nearing 100%) within an LSPR-based broadband extinction window in the experiment, making the meta-grating promising for applications of high-efficiency reflective filters. A Fano resonance that is well optimized between LSPR and RA by carefully adjusting the angles of incident light can switch such a nano-device to an improved biological/chemical sensor with a figure of merit (FOM) larger than 57 and capability of detecting the local refractive index changes caused by the bonding of target molecules on the surface of the nano-device. The figure of merit of the hybrid sensor in the detection of target molecules is 6 and 15 times higher than that of the simple RA- and LSPR-based sensors, respectively. © 2023 by the authors.

Keyword:

sensor localized surface plasmon resonance reflective filter Fano resonance Rayleigh anomaly diffraction

Author Community:

  • [ 1 ] [Liu F.]College Physics & Materials Science, Tianjin Normal University, Tianjin, 300387, China
  • [ 2 ] [Jia H.]College Physics & Materials Science, Tianjin Normal University, Tianjin, 300387, China
  • [ 3 ] [Chen Y.]College Physics & Materials Science, Tianjin Normal University, Tianjin, 300387, China
  • [ 4 ] [Luo X.]College Physics & Materials Science, Tianjin Normal University, Tianjin, 300387, China
  • [ 5 ] [Huang M.]College Physics & Materials Science, Tianjin Normal University, Tianjin, 300387, China
  • [ 6 ] [Wang M.]School of Physical Science and Technology, Inner Mongolia University, Hohhot, 010021, China
  • [ 7 ] [Zhang X.]Institute of Information Photonics Technology, College of Applied Sciences, Beijng University of Technology, Beijing, 100124, China

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Source :

Sensors

ISSN: 1424-8220

Year: 2023

Issue: 14

Volume: 23

3 . 9 0 0

JCR@2022

ESI Discipline: CHEMISTRY;

ESI HC Threshold:20

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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