ArticleOptical and quantum electronics2023
Design and analysis of high-sensitivity tunable graphene sensors for cancer detection.
Article in Optical and quantum electronics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 25 citations in OpenAlex.
- Article
- A simulation-based plasmonic terahertz nanosensor with graphene-enhanced sensitivity for diabetes monitoring.Scientific reports · 2025Article
- Ultra-compact quintuple-band terahertz metamaterial biosensor for enhanced blood cancer diagnostics.PloS one · 2025Article
- Terahertz Metamaterials for Biosensing Applications: A Review.Biosensors · 2023Review
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Authors and funding
2 authors at 1 institution in 1 country.
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Abstract
A new metamaterial refractive index sensor based on the impedance matching idea is suggested to provide an ultra-narrowband absorption response at terahertz frequencies. In order to accomplish this, the graphene layer has been modeled as circuit components using the recently developed transmission line method and the recently proposed circuit model of Periodic Arrays of Graphene Disks. The given research gives a flowchart and equations for designing a sensor, greatly simplifying the sensor design approach. This study only explores Periodic Arrays of Graphene Disks but we think the offered technique is extensible to any available graphene forms that past designers supplied with a circuit model. We compare and contrast the full-wave simulation results with the suggested circuit model. The metallic ground prohibited the transmission of the episode wave, and all occurrence electromagnetic waves are restricted in the basic design between the graphene disk. As a consequence, a perfect narrowband absorption peak is obtained. Disk absorption spectra have been discovered for a variety of refractive lists. The findings of the circuit model and full-wave simulations appear to be balanced. This RI sensor is suitable for biomedical sensing because of the combination of its features. The proposed sensor's performance as a cancer early detection sensor was evaluated among biomedical sensors, and the findings indicated that the proposed sensor is an excellent candidate for this application.
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