journal article·2026-06-05

Numerical Study of Strong Coupling-Enabled Dual-Mode Single-Nanoparticle Virus Detection Based on Magneto-Plasmon in a Magneto-Optical Metamaterial

Ruxian Zhu, Nianyin Lv, Xiong Li, Shaolong Tang, Leyi Chen, Zhizhen Zhao, Renli Xu

ACS Applied Nano Materials· Volume 9· Issue 22
Publisher page

Abstract

Magneto-plasmonic (MP) nanostructures have received significant attention, as they are highly advantageous for ultrasensitive and label-free biosensing applications. Currently, most reported MP biosensors focus on detecting changes in solution concentration or refractive index and operate exclusively in single-channel sensing modes, whereas the detection of viral particles has rarely been explored. In this numerical work, we have proposed a dual-mode magneto-plasmon method of detecting virus particles via modes strong coupling in a magneto-optical metamaterial using finite-difference time-domain simulations, composed of the Ag square hole disk array and a MO layer. Owing to the strong coupling, two Kerr reversals are observed in the spectrum of polar Kerr rotation. Such findings pave the way for developing dual-mode magneto-plasmon biosensors, with sensitivity S 1 = 307.71 nm/RIU and S 2 = 524.38 nm/RIU and high figure of merit (FoM) values of FoM 1 = 3.41 × 10 4 /RIU and FoM 2 = 8.73 × 10 4 /RIU, respectively. The FoM achieved is at least 1 order of magnitude higher than the previously reported results of the same kind (755/RIU and 1823/RIU). Furthermore, based on the high sensing performance, the dual-mode virus-detecting method is achieved, theoretically capable of counting the number of PP01 bacteriophage precisely in the cavity of the proposed MP metamaterial.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Plasmonic and Surface Plasmon Research · Metamaterials and Metasurfaces Applications · Photonic Crystals and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Artificial Intelligence and Information Technology

Nanjing University of Chinese Medicine

School of Medicine

Jiangsu Key Laboratory for Nanotechnology, National Laboratory of Solid State Microstructures and Department of Physics

Nanjing University

School of Biomedical Engineering and Informatics

Nanjing Medical University

Funding

National Laboratory of Solid State Microstructures, Nanjing University · National Natural Science Foundation of China

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