Evidence map›Paper›PMID 39124094›Full record

ArticleSensors (Basel, Switzerland)2024

The Tunable Parameters of Graphene-Based Biosensors.

Talia Tene, Jiří Svozilík, Dennys Colcha, Yesenia Cevallos, Paola Gabriela Vinueza-Naranjo, Cristian Vacacela Gomez, Stefano Bellucci

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
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  5. WSMicromachines · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Talia TeneDepartment of Chemistry, Universidad Técnica Particular de Loja, Loja 110160, Ecuador.ORCID 0000-0002-8588-6490
Jiří SvozilíkFacultad de Ciencias, Escuela Superior Politécnica de Chimborazo (ESPOCH), Riobamba 060155, Ecuador.ORCID 0000-0002-3115-7583
Dennys ColchaUNICARIBE Research Center, University of Calabria, 87036 Rende, Italy.
Yesenia CevallosCollege of Engineering, Universidad Nacional de Chimborazo, Riobamba 060108, Ecuador.
Paola Gabriela Vinueza-NaranjoCollege of Engineering, Universidad Nacional de Chimborazo, Riobamba 060108, Ecuador.
Cristian Vacacela GomezINFN-Laboratori Nazionali di Frascati, Via E. Fermi 54, 00044 Frascati, Italy.ORCID 0000-0002-9248-9944
Stefano BellucciINFN-Laboratori Nazionali di Frascati, Via E. Fermi 54, 00044 Frascati, Italy.ORCID 0000-0003-0326-6368

Funding

Universidad Técnica Particular de Loja POA_VIN-56
6 · The paper itself

Abstract

Graphene-based surface plasmon resonance (SPR) biosensors have emerged as a promising technology for the highly sensitive and accurate detection of biomolecules. This study presents a comprehensive theoretical analysis of graphene-based SPR biosensors, focusing on configurations with single and bimetallic metallic layers. In this study, we investigated the impact of various metallic substrates, including gold and silver, and the number of graphene layers on key performance metrics: sensitivity of detection, detection accuracy, and quality factor. Our findings reveal that configurations with graphene first supported on gold exhibit superior performance, with sensitivity of detection enhancements up to 30% for ten graphene layers. In contrast, silver-supported configurations, while demonstrating high sensitivity, face challenges in maintaining detection accuracy. Additionally, reducing the thickness of metallic layers by 30% optimizes light coupling and enhances sensor performance. These insights highlight the significant potential of graphene-based SPR biosensors in achieving high sensitivity of detection and reliability, paving the way for their application in diverse biosensing technologies. Our findings pretend to motivate future research focusing on optimizing metallic layer thickness, improving the stability of silver-supported configurations, and experimentally validating the theoretical findings to further advance the development of high-performance SPR biosensors.

Indexed as

Biosensing TechniquesGoldGraphiteSilverSurface Plasmon ResonanceGoldGraphiteSilverbiosensorsdetection accuracygoldgraphenequality factorsensitivity of detectionsilversurface plasmon resonancetransfer matrix method

Identifiers

PMID39124094
PMCPMC11314989

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.