ArticlePlasmonics (Norwell, Mass.)2023
A Sensitive Biosensor Based on Plasmonic-Graphene Configuration for Detection of COVID-19 Virus.
Article in Plasmonics (Norwell, Mass.), 2023. 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.
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Who cites it
4 citing papers in PubMed.
- High-performance Au-MoS₂-graphene multilayer SPR biosensor with superior sensitivity and precision.Scientific reports · 2026Article
- Efficient and optimized blood cancer detection using engineered graphene-based silicon-TiN-silicon multilayered plasmonic sensor design with behaviour prediction using machine learning.Scientific reports · 2026Article
- Graphene-Based Plasmonic Antenna for Advancing Nano-Scale Sensors.Nanomaterials (Basel, Switzerland) · 2025Review
- Detection and photothermal inactivation of Gram-positive and Gram-negative bloodstream bacteria using photonic crystal biosensor and plasmonic core-shell.RSC advances · 2024Article
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, four individual structures based on graphene-plasmonic nano combinations are proposed for detection of corona viruses and especially COVID-19. The structures are arranged based on arrays in the shapes of half-sphere and one-dimensional photonic crystal formats. The half-sphere and plate shaped layers are made of
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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.