Pub Date : 2024-07-27DOI: 10.1007/s11468-024-02445-8
Jacob Wekalao, Ngaira Mandela, Jonas Muheki, Adeeb Zaid
This study presents the design and analysis of a novel terahertz metasurface-based refractive index sensor for hemoglobin detection. The proposed sensor incorporates advanced materials including graphene, MXenes, SrTiO3 and gold on a SiO2 substrate. Comprehensive parametric optimization was conducted using COMSOL Multiphysics to enhance the sensor's sensitivity and overall performance. The optimized design demonstrated high sensitivity to hemoglobin concentration changes, with distinct transmittance responses observed for concentrations ranging from 10 g/l to 40 g/l. Electric field intensity analysis verified the sensor's transmission characteristics across different frequencies. Performance metrics such maximum sensitivity of 1000GHzRIU-1, minimum FOM of 2 RIU-1, minimum detection limit of 0.044 among other performance parameters which demonstrates exemplary results. Furthermore, polynomial regression models were employed to predict the sensor's behaviour under various parametric conditions, achieving maximum R2 scores between 0.86 and 1 across different test cases.
{"title":"Design and Analysis of a Terahertz Metasurface-Based Refractive Index Sensor for Hemoglobin Detection With Behaviour Prediction Using Polynomial Regression","authors":"Jacob Wekalao, Ngaira Mandela, Jonas Muheki, Adeeb Zaid","doi":"10.1007/s11468-024-02445-8","DOIUrl":"https://doi.org/10.1007/s11468-024-02445-8","url":null,"abstract":"<p>This study presents the design and analysis of a novel terahertz metasurface-based refractive index sensor for hemoglobin detection. The proposed sensor incorporates advanced materials including graphene, MXenes, SrTiO<sub>3</sub> and gold on a SiO<sub>2</sub> substrate. Comprehensive parametric optimization was conducted using COMSOL Multiphysics to enhance the sensor's sensitivity and overall performance. The optimized design demonstrated high sensitivity to hemoglobin concentration changes, with distinct transmittance responses observed for concentrations ranging from 10 g/l to 40 g/l. Electric field intensity analysis verified the sensor's transmission characteristics across different frequencies. Performance metrics such maximum sensitivity of 1000GHzRIU<sup>-1</sup>, minimum FOM of 2 RIU<sup>-1</sup>, minimum detection limit of 0.044 among other performance parameters which demonstrates exemplary results. Furthermore, polynomial regression models were employed to predict the sensor's behaviour under various parametric conditions, achieving maximum R<sup>2</sup> scores between 0.86 and 1 across different test cases.</p>","PeriodicalId":736,"journal":{"name":"Plasmonics","volume":"71 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141786201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-27DOI: 10.1007/s11468-024-02442-x
Nagarajan P., Jacob Wekalao, Ashokkumar N., Shobhit K. Patel
This research presents plasmonic metasurface-based graphene sensor for highly sensitive and label-free detection of COVID-19 biomarkers. The proposed sensor structure integrates graphene with specially engineered metasurface resonators for the detection of SARS-CoV-2 biomarkers through analysis of terahertz spectroscopic signatures. Finite element method simulations were performed to optimize the sensor design, including resonator dimensions, angle of incidence, and graphene chemical potential. The optimized sensor demonstrates a maximum sensitivity of 400 GHzRIU−1, a figure of merit of 0.224 RIU−1, a quality factor of 7.942, and a detection limit of 0.465 RIU. Electric field distribution analysis provides insights into the sensor’s plasmonic modes and light-matter interactions. The sensor also shows potential for 2-bit encoding applications. Compared to existing designs, the proposed sensor exhibits superior performance in key metrics like sensitivity among others. This plasmonic metasurface approach presents a promising platform for rapid, sensitive, and specific detection of SARS-CoV-2 and other viral biomarkers, with potential applications in advanced diagnostic tools and public health monitoring.
{"title":"Design and Analysis of a Plasmonic Metasurface-Based Graphene Sensor for Highly Sensitive and Label-Free Detection of COVID-19 Biomarkers","authors":"Nagarajan P., Jacob Wekalao, Ashokkumar N., Shobhit K. Patel","doi":"10.1007/s11468-024-02442-x","DOIUrl":"https://doi.org/10.1007/s11468-024-02442-x","url":null,"abstract":"<p>This research presents plasmonic metasurface-based graphene sensor for highly sensitive and label-free detection of COVID-19 biomarkers. The proposed sensor structure integrates graphene with specially engineered metasurface resonators for the detection of SARS-CoV-2 biomarkers through analysis of terahertz spectroscopic signatures. Finite element method simulations were performed to optimize the sensor design, including resonator dimensions, angle of incidence, and graphene chemical potential. The optimized sensor demonstrates a maximum sensitivity of 400 GHzRIU<sup>−1</sup>, a figure of merit of 0.224 RIU<sup>−1</sup>, a quality factor of 7.942, and a detection limit of 0.465 RIU. Electric field distribution analysis provides insights into the sensor’s plasmonic modes and light-matter interactions. The sensor also shows potential for 2-bit encoding applications. Compared to existing designs, the proposed sensor exhibits superior performance in key metrics like sensitivity among others. This plasmonic metasurface approach presents a promising platform for rapid, sensitive, and specific detection of SARS-CoV-2 and other viral biomarkers, with potential applications in advanced diagnostic tools and public health monitoring.</p>","PeriodicalId":736,"journal":{"name":"Plasmonics","volume":"16 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141776252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-27DOI: 10.1007/s11468-024-02435-w
Vahid Rajabpour, Karim Abbasian, Mehmet Ertugrul
Plasmonic nanostructures continue to be the most promising alternative to hyperthermia treatment of cancer or tumors by focusing the light locally. Absorption and scattering cross-sections of 48 nanorods encompassing silver and palladium as core and gold and platinum as coating with four different aspect ratios and three different coating thicknesses were examined in an aqueous solution with finite-element method (FEM). According to the highest value of photothermal conversion efficiency (PCE) in each bimetallic compound, three Au@Ag, Pt@Ag, and Au@Pd nanorods, with aspect ratios of 4, 4, and 5, respectively; and all with a coating thickness of 1 nm; were chosen as the best ones named “A,” “B,” and “C”. Each nanorod irradiated by continuous wave (CW) laser radiation with 1 mW·μm−2 intensity at the LSPR wavelength for 200 ns, the temperature of the nanorods increased from 37 to 82.6, 46.34, and 44.33 °C, respectively. To robustly control the temperature in time and locally, the irradiation intensity of the “A” was decreased to 0.5 mW·μm−2, that its ambient temperature increased by 45 °C at a distance of 20 nm, which can selectively cause irreparable damage to the cancer cells. In addition, the nanorods were irradiated by pulsed laser for 200 ns periods. The results show that the bimetallic nanoparticles can convert light into heat locally.