Evidence map›Paper›PMID 42041442›Full record

ArticleBiosensors2026

All-LCP Terahertz Metasensor with Dual Quasi-BIC Resonances for Dual-Range Refractive Index Sensing.

Yan Zhang, Mengya Pan, Qiankai Hong, Shengyuan Shen, Conghui Guo, Yaping Li, Yanpeng Shi, Yifei Zhang

Abstract read
In one paragraph

Article in Biosensors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Yan ZhangSchool of Integrated Circuits, Shandong University, Jinan 250100, China.
Mengya PanSchool of Integrated Circuits, Shandong University, Jinan 250100, China.ORCID 0009-0002-1970-5353
Qiankai HongSchool of Integrated Circuits, Shandong University, Jinan 250100, China.
Shengyuan ShenSchool of Integrated Circuits, Shandong University, Jinan 250100, China.
Conghui GuoSchool of Integrated Circuits, Shandong University, Jinan 250100, China.
Yaping LiSchool of Integrated Circuits, Shandong University, Jinan 250100, China.
Yanpeng ShiSchool of Integrated Circuits, Shandong University, Jinan 250100, China.ORCID 0000-0003-1970-5783
Yifei ZhangSchool of Integrated Circuits, Shandong University, Jinan 250100, China.ORCID 0000-0001-6077-8525

Funding

Key Technology Program of Qingdao 23-1-2-qljh-5-gxNational Key Research and Development Program of China 2022YFA1405200National Natural Science Foundation of China 62371272National Natural Science Foundation of China U25A20143Natural Science Foundation of Shandong Province ZR2023ZD08Natural Science Foundation of Shandong Province ZR2024LLZ006
6 · The paper itself

Abstract

Terahertz (THz) metasurface biosensors still encounter difficulties in simultaneously achieving high spectral resolution and stable readout across different refractive-index regimes. In this work, an all-liquid-crystal-polymer (LCP) THz metasensor supporting dual quasi-bound states in the continuum (quasi-BIC) resonances is proposed for regime-dependent refractive-index sensing. By introducing structural asymmetry into a periodic LCP cubic-cluster metasurface, two pronounced resonances are generated with quality factors (Q factors) of 6811 and 2526, respectively. Near-field distributions and multipole decomposition analysis indicate that the two resonances possess distinct electromagnetic features, which result in different responses to surrounding dielectric perturbations. In the low-refractive-index range of 1.0-1.5, the two resonance frequencies exhibit a linear variation with refractive index, yielding sensitivities of 122 GHz/RIU and 179 GHz/RIU, respectively. These dual-mode linear responses further offer a foundation for concentration- and temperature-related evaluation through analyte refractive-index mapping. In the higher-refractive-index range of 1.5-1.8, the intermodal frequency difference shows improved linearity with refractive index compared with the individual resonance frequencies, enabling a differential readout scheme with enhanced robustness against common perturbations. The results demonstrate that the proposed all-LCP dual-quasi-BIC metasensor not only enables high-resolution THz refractive-index sensing, but also establishes a regime-dependent spectral readout approach for different dielectric-response intervals.

Indexed as

Biosensing TechniquesLiquid CrystalsPolymersRefractometryTerahertz RadiationPolymersall-LCP metasurfacebiosensingdifferential readoutdual quasi-BIC resonancesrefractive-index sensingterahertz metasensor

Identifiers

PMID42041442
PMCPMC13113895

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.