H. S. Roslan, M. A. M. Said, Z. Zakaria, M. H. Misran, N. Yusop, A. A. M. Bahar, Muhammad Sukriyllah Yusri
{"title":"High Sensitivity Microwave Sensor for Material Characterization Using Square Split Ring Resonator","authors":"H. S. Roslan, M. A. M. Said, Z. Zakaria, M. H. Misran, N. Yusop, A. A. M. Bahar, Muhammad Sukriyllah Yusri","doi":"10.1109/RFM56185.2022.10065034","DOIUrl":null,"url":null,"abstract":"Microwave sensors are the most extensively utilized sensors in the food industry, quality control, biomedical, and industrial applications. The perturbation method, in which the dielectric characteristics of the resonator affect Q-factor and resonance frequency, is used in this study to address the weakness of this technique. For material characterization of solid and liquid samples, this proposed sensor worked at 2.5GHz in the 1GHz to 4GHz range. These sensors were built on a substrate of RT/Duroid Roger 5880 with a dielectric constant of 2.2, a loss tangent of 0.0009, and a copper thickness of 0.00175mm. As a result, at 2.5GHz, this square split ring resonator (SSRR) sensor produces narrow resonance, low insertion loss, and a high Q-factor value of 430. As a result, the SSRR sensor's sensitivity is 98.59%, which is higher than earlier investigations. This evidence supports the proposed sensor's application as a material characterization tool, particularly for identifying material properties.","PeriodicalId":171480,"journal":{"name":"2022 IEEE International RF and Microwave Conference (RFM)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International RF and Microwave Conference (RFM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RFM56185.2022.10065034","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Microwave sensors are the most extensively utilized sensors in the food industry, quality control, biomedical, and industrial applications. The perturbation method, in which the dielectric characteristics of the resonator affect Q-factor and resonance frequency, is used in this study to address the weakness of this technique. For material characterization of solid and liquid samples, this proposed sensor worked at 2.5GHz in the 1GHz to 4GHz range. These sensors were built on a substrate of RT/Duroid Roger 5880 with a dielectric constant of 2.2, a loss tangent of 0.0009, and a copper thickness of 0.00175mm. As a result, at 2.5GHz, this square split ring resonator (SSRR) sensor produces narrow resonance, low insertion loss, and a high Q-factor value of 430. As a result, the SSRR sensor's sensitivity is 98.59%, which is higher than earlier investigations. This evidence supports the proposed sensor's application as a material characterization tool, particularly for identifying material properties.
微波传感器是食品工业、质量控制、生物医学和工业应用中应用最广泛的传感器。本研究采用微扰法,即谐振腔的介电特性影响q因子和谐振频率,以解决该技术的缺点。对于固体和液体样品的材料表征,该传感器在1GHz至4GHz范围内工作在2.5GHz。这些传感器建立在RT/Duroid Roger 5880衬底上,其介电常数为2.2,损耗正切为0.0009,铜厚度为0.00175mm。因此,在2.5GHz时,该方形分裂环谐振器(SSRR)传感器产生窄谐振,插入损耗低,q因子值高430。结果表明,SSRR传感器的灵敏度为98.59%,高于以往的研究。这一证据支持了该传感器作为材料表征工具的应用,特别是用于识别材料特性。