ArticlePlasmonics (Norwell, Mass.)2022
Sensitive Hemoglobin Concentration Sensor Based on Graphene-Plasmonic Nano-structures.
Article in Plasmonics (Norwell, Mass.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Bio-sensing applications of a 2:1 photonic crystal multiplexer.Scientific reports · 2025Article
- Metal Nanocomposites as Biosensors for Biological Fluids Analysis.Materials (Basel, Switzerland) · 2025Review
- Design of a PIT biosensor based on plasmonic-graphene-black phosphorous hybrid for hypercholesterolemia detection.Scientific reports · 2024Article
- A Sensitive Biosensor Based on Plasmonic-Graphene Configuration for Detection of COVID-19 Virus.Plasmonics (Norwell, Mass.) · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this paper, half-cylindrical-shaped rods are arranged in a row in order to form hemoglobin concentration sensors. The proposed structures can effectively detect hemoglobin concentrations in blood samples. Five individual structures based on graphene-plasmonic combinations are proposed and investigated. The proposed structures are made of different layers of Au, Ag, SiO
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.