{"title":"High-Q Quasi-bound states in the continuum metasurface for simultaneous detection of magnetic induction intensity, refractive index and temperature","authors":"Chengbo Du, Zhe Han, Donghe Sheng, Huiping Tian","doi":"10.1016/j.sbsr.2026.101075","DOIUrl":null,"url":null,"abstract":"<div><div>Multi-parameter sensing has become a popular research topic. However, designing multi-parameter sensors with multiple high quality-factor (<em>Q</em>-factor) resonances remains challenging. In order to address the challenge, we employ quasi-bound states in the continuum (quasi-BICs) to design a silicon-based metasurface multi-parameter sensor with multiple high-<em>Q</em> resonances. The multi-parameter sensor can support three quasi-BICs resonances with a <em>Q</em>-factor exceeding 10<sup>4</sup>, and can detect three parameters of magnetic induction intensity (<em>B</em>), refractive index (<em>RI</em>) and temperature (<em>T</em>) simultaneously. In order to detect the three parameters using the proposed sensor, the sensitivities for <em>B</em>, <em>RI</em> and <em>T</em> of the three quasi-BICs resonances are calculated, respectively. Then we exploit a three-dimensional sensitivity matrix, and obtain a matrix equation to describe the relationship between the changes of the three parameters and the resonant wavelength shifts of the three quasi-BICs resonances. By solving the matrix equation, the three parameters can be simultaneously demodulated. The proposed sensor employs quasi-BICs to obtain resonances with high <em>Q</em>-factors, and can simultaneously detect <em>B</em>, <em>RI</em> and <em>T</em>. This work provides a feasible way for designing high-<em>Q</em> multi-parameter sensors.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"53 ","pages":"Article 101075"},"PeriodicalIF":4.7000,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sensing and Bio-Sensing Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214180426001261","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/8/13 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Multi-parameter sensing has become a popular research topic. However, designing multi-parameter sensors with multiple high quality-factor (Q-factor) resonances remains challenging. In order to address the challenge, we employ quasi-bound states in the continuum (quasi-BICs) to design a silicon-based metasurface multi-parameter sensor with multiple high-Q resonances. The multi-parameter sensor can support three quasi-BICs resonances with a Q-factor exceeding 104, and can detect three parameters of magnetic induction intensity (B), refractive index (RI) and temperature (T) simultaneously. In order to detect the three parameters using the proposed sensor, the sensitivities for B, RI and T of the three quasi-BICs resonances are calculated, respectively. Then we exploit a three-dimensional sensitivity matrix, and obtain a matrix equation to describe the relationship between the changes of the three parameters and the resonant wavelength shifts of the three quasi-BICs resonances. By solving the matrix equation, the three parameters can be simultaneously demodulated. The proposed sensor employs quasi-BICs to obtain resonances with high Q-factors, and can simultaneously detect B, RI and T. This work provides a feasible way for designing high-Q multi-parameter sensors.
期刊介绍:
Sensing and Bio-Sensing Research is an open access journal dedicated to the research, design, development, and application of bio-sensing and sensing technologies. The editors will accept research papers, reviews, field trials, and validation studies that are of significant relevance. These submissions should describe new concepts, enhance understanding of the field, or offer insights into the practical application, manufacturing, and commercialization of bio-sensing and sensing technologies.
The journal covers a wide range of topics, including sensing principles and mechanisms, new materials development for transducers and recognition components, fabrication technology, and various types of sensors such as optical, electrochemical, mass-sensitive, gas, biosensors, and more. It also includes environmental, process control, and biomedical applications, signal processing, chemometrics, optoelectronic, mechanical, thermal, and magnetic sensors, as well as interface electronics. Additionally, it covers sensor systems and applications, µTAS (Micro Total Analysis Systems), development of solid-state devices for transducing physical signals, and analytical devices incorporating biological materials.