Evidence map›Paper›PMID 42610051›Full record

ArticleSensors and actuators. B, Chemical2026

Hybridization-Based Electrochemical Biosensors for RNA Detection: Key Concepts and Insights.

Julio Ojeda, Fiorella Torres-Salvador, Thais Ortiz-Rodriguez, Karin Chumbimuni-Torres

Abstract read
In one paragraph

Article in Sensors and actuators. B, Chemical, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Julio OjedaDepartment of Chemistry, University of Central Florida, Orlando, FL 32816, US.
Fiorella Torres-SalvadorDepartment of Chemistry, University of Central Florida, Orlando, FL 32816, US.
Thais Ortiz-RodriguezDepartment of Chemistry, University of Central Florida, Orlando, FL 32816, US.
Karin Chumbimuni-TorresDepartment of Chemistry, University of Central Florida, Orlando, FL 32816, US.

Funding

A single biosensors for the simultaneous molecular detection of HIV and Hepatitis B and C viruses at resource-limited settingsR15AI189259 · NIAID · UNIVERSITY OF CENTRAL FLORIDA · PI CHUMBIMUNI-TORRES, KARIN · 2025 to 2025
$538k
Novel Quantitative Cost-effective Assay for the Diagnosis and Monitoring of HIV viral loadsR03AI164938 · NIAID · UNIVERSITY OF CENTRAL FLORIDA · PI CHUMBIMUNI-TORRES, KARIN · 2021 to 2022
$143k
NIAID NIH HHS R03 AI164938NIAID NIH HHS R15 AI189259
6 · The paper itself

Abstract

Electrochemical biosensors (E-biosensors) represent a promising platform for the detection of biomolecules closely linked to human health. Among these, RNA targets are of particular importance, including viral RNA (essential for disease diagnostics and epidemiological monitoring) and microRNAs (miRNAs), which serve as biomarkers for disease progression and treatment response. Among the different E-biosensor designs, hybridization-based sensors rely on capture DNA probes to recognize target RNA, offer high selectivity and sensitivity through electrochemical readouts. This review summarizes recent advances in the design of hybridization-based E-biosensors for viral RNA and miRNA detection. Key aspects discussed include probe architecture, electrode materials, enzyme-free signal enhancement strategies, and amplification methods with a focus on isothermal approaches. Current challenges and future directions are also highlighted, providing a guide for researchers developing next-generation E-biosensors for RNA detection.

Indexed as

Electrochemical biosensorsHybridization-basedIsothermal amplificationRNA

Identifiers

PMID42610051
PMCPMC13480383

What OpenQuestion holds

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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.