{"title":"利用基于超材料的灵敏太赫兹阻抗光谱筛查和诊断呼吸系统疾病","authors":"Rudrarup Sengupta, Heena Khand, Gabby Sarusi","doi":"10.1016/j.sbsr.2024.100639","DOIUrl":null,"url":null,"abstract":"<div><p>Utilizing LC resonant metamaterials (MM) for terahertz (THz) impedance spectroscopy has opened new avenues for detection of biomolecules and nanoparticles. A recent revelation highlights the pivotal role of coupling between MM resonance and Fabry-Pérot (FP) oscillations of the substrate. This interaction significantly influences the observed spectral shift (<span><math><mi>ΔF</mi></math></span>), thereby enhancing the overall sensitivity. In this work, we utilize the FP-MM optical decoupling physics for sensitivity enhancement to detect bio-particles at extremely low concentrations, thereby overcoming the particle detection limit. After implementing these innovations, we discovered that this technology can be leveraged to detect and screen patients infected with the omicron variant of SARS-CoV-2 and other lung related diseases using exhaled breath from patients. Upon achieving excellent agreement between simulations and experimental spectroscopic data, we have successfully detected and screened multiple respiratory-related diseases from the exhaled breath collected on the metasurface in a breathalyzer configuration. We obtained significant <span><math><mi>ΔF</mi></math></span> even with ultra-low concentrations of bio-particles and demarcated the ranges of <span><math><mi>ΔF</mi></math></span> for different lung diseases that do no overlap and are not constrained by any limit of detection. This work reveals new prospects for diagnosis and screening of multiple respiratory-related diseases with a single and prompt breath test.</p></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"44 ","pages":"Article 100639"},"PeriodicalIF":5.4000,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214180424000217/pdfft?md5=1027b970d9a8bdd3269047ef6c4122e1&pid=1-s2.0-S2214180424000217-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Screening and diagnosis of respiratory diseases using metamaterial based sensitive terahertz impedance spectroscopy\",\"authors\":\"Rudrarup Sengupta, Heena Khand, Gabby Sarusi\",\"doi\":\"10.1016/j.sbsr.2024.100639\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Utilizing LC resonant metamaterials (MM) for terahertz (THz) impedance spectroscopy has opened new avenues for detection of biomolecules and nanoparticles. A recent revelation highlights the pivotal role of coupling between MM resonance and Fabry-Pérot (FP) oscillations of the substrate. This interaction significantly influences the observed spectral shift (<span><math><mi>ΔF</mi></math></span>), thereby enhancing the overall sensitivity. In this work, we utilize the FP-MM optical decoupling physics for sensitivity enhancement to detect bio-particles at extremely low concentrations, thereby overcoming the particle detection limit. After implementing these innovations, we discovered that this technology can be leveraged to detect and screen patients infected with the omicron variant of SARS-CoV-2 and other lung related diseases using exhaled breath from patients. Upon achieving excellent agreement between simulations and experimental spectroscopic data, we have successfully detected and screened multiple respiratory-related diseases from the exhaled breath collected on the metasurface in a breathalyzer configuration. We obtained significant <span><math><mi>ΔF</mi></math></span> even with ultra-low concentrations of bio-particles and demarcated the ranges of <span><math><mi>ΔF</mi></math></span> for different lung diseases that do no overlap and are not constrained by any limit of detection. This work reveals new prospects for diagnosis and screening of multiple respiratory-related diseases with a single and prompt breath test.</p></div>\",\"PeriodicalId\":424,\"journal\":{\"name\":\"Sensing and Bio-Sensing Research\",\"volume\":\"44 \",\"pages\":\"Article 100639\"},\"PeriodicalIF\":5.4000,\"publicationDate\":\"2024-03-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2214180424000217/pdfft?md5=1027b970d9a8bdd3269047ef6c4122e1&pid=1-s2.0-S2214180424000217-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sensing and Bio-Sensing Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2214180424000217\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sensing and Bio-Sensing Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214180424000217","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
摘要
利用低电平谐振超材料(MM)进行太赫兹(THz)阻抗光谱分析为检测生物分子和纳米粒子开辟了新途径。最近的一项发现强调了 MM 共振与基底的法布里-佩罗(Fabry-Pérot,FP)振荡之间耦合的关键作用。这种相互作用极大地影响了观测到的光谱偏移(ΔF),从而提高了整体灵敏度。在这项工作中,我们利用 FP-MM 光学解耦物理学来提高灵敏度,以检测极低浓度的生物微粒,从而克服了微粒检测极限。在实现这些创新后,我们发现这项技术可用于利用患者呼出的气体来检测和筛查感染 SARS-CoV-2 奥米克变种的患者以及其他肺部相关疾病的患者。在模拟和实验光谱数据之间取得极佳的一致性之后,我们成功地在呼吸分析仪配置中从元表面收集的呼出气体中检测和筛查出多种呼吸系统相关疾病。即使生物颗粒的浓度超低,我们也能获得明显的 ΔF,并为不同肺部疾病划定了 ΔF 范围,这些范围不会重叠,也不受任何检测极限的限制。这项工作揭示了通过单一、快速的呼气测试诊断和筛查多种呼吸系统相关疾病的新前景。
Screening and diagnosis of respiratory diseases using metamaterial based sensitive terahertz impedance spectroscopy
Utilizing LC resonant metamaterials (MM) for terahertz (THz) impedance spectroscopy has opened new avenues for detection of biomolecules and nanoparticles. A recent revelation highlights the pivotal role of coupling between MM resonance and Fabry-Pérot (FP) oscillations of the substrate. This interaction significantly influences the observed spectral shift (), thereby enhancing the overall sensitivity. In this work, we utilize the FP-MM optical decoupling physics for sensitivity enhancement to detect bio-particles at extremely low concentrations, thereby overcoming the particle detection limit. After implementing these innovations, we discovered that this technology can be leveraged to detect and screen patients infected with the omicron variant of SARS-CoV-2 and other lung related diseases using exhaled breath from patients. Upon achieving excellent agreement between simulations and experimental spectroscopic data, we have successfully detected and screened multiple respiratory-related diseases from the exhaled breath collected on the metasurface in a breathalyzer configuration. We obtained significant even with ultra-low concentrations of bio-particles and demarcated the ranges of for different lung diseases that do no overlap and are not constrained by any limit of detection. This work reveals new prospects for diagnosis and screening of multiple respiratory-related diseases with a single and prompt breath test.
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.