Evidence map›Paper›PMID 42122354›Full record

ArticleSensors (Basel, Switzerland)2026

Enhanced Sensing Enabled by Multi-Resonant QBIC-EIT and SP-BIC in Pyramidal LiNbO

Changqing Zhong, Wei Zou, Jiangtao Lei, Yun Shen, Jing Chen, Lujun Hong, Tianjing Guo

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

7 authors.

Changqing ZhongDepartment of Physics, School of Physics and Material Science, Nanchang University, Nanchang 330031, China.
Wei ZouDepartment of Physics, School of Physics and Material Science, Nanchang University, Nanchang 330031, China.
Jiangtao LeiInstitute of Space Science and Technology, Nanchang University, Nanchang 330031, China.ORCID 0000-0002-1340-6259
Yun ShenDepartment of Physics, School of Physics and Material Science, Nanchang University, Nanchang 330031, China.
Jing ChenSchool of Physics, Nankai University, Tianjin 300071, China.
Lujun HongInstitute of Space Science and Technology, Nanchang University, Nanchang 330031, China.ORCID 0000-0002-4949-1483
Tianjing GuoInstitute of Space Science and Technology, Nanchang University, Nanchang 330031, China.ORCID 0000-0001-8495-0051

Funding

Double Thousand Plan of Jiangxi Province jxsq2023101069Jiangxi Provincial Natural Science Foundation 20224BAB211015Jiangxi Provincial Natural Science Foundation 20242BAB20024Jiangxi Provincial Natural Science Foundation 20242BAB25039Jiangxi Provincial Natural Science Foundation 20252BAC240067National Natural Science Foundation of China 12104203National Natural Science Foundation of China 12264027National Natural Science Foundation of China 12464057
6 · The paper itself

Abstract

In optical sensing, electromagnetically induced transparency (EIT) and bound states in the continuum (BIC) substantially enhance light-matter interactions by leveraging high-Q resonances. This study theoretically demonstrates dual-resonance phenomena-namely, a quasi-symmetry-protected BIC (SP-BIC) and a quasi-BIC-induced EIT-like (QBIC-EIT) resonance-using a dielectric metasurface composed of pyramid-shaped lithium niobate nanoarrays operating in the near-infrared. The QBIC-EIT transmission window originates from the interference between surface lattice modes and toroidal dipole modes, triggered by symmetry breaking of the BIC state. Due to the absence of C

Indexed as

bound states in the continuum (BIC)electromagnetically induced transparency (EIT)high Q-factorlithium niobate (LN) metasurfacesrefractive index (RI) sensing

Identifiers

PMID42122354
PMCPMC13165597

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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.