Evidence map›Paper›PMID 40422016›Full record

ReviewBiosensors2025

Aptamer and Oligonucleotide-Based Biosensors for Health Applications.

Beatriz Mayol, I Zeina Qubbaj, Julieta Nava-Granados, Katherine Vasquez, Scott T Keene, Juliane R Sempionatto

Abstract readReview
In one paragraph

Review in Biosensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
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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

6 authors.

Beatriz MayolDepartment of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA.ORCID 0000-0002-0352-1069
I Zeina QubbajDepartment of Materials Science and NanoEngineering, Rice University, Houston, TX 77005, USA.ORCID 0009-0001-7193-8130
Julieta Nava-GranadosDepartment of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA.ORCID 0009-0007-2341-3624
Katherine VasquezDepartment of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA.ORCID 0009-0008-3837-4186
Scott T KeeneDepartment of Materials Science and NanoEngineering, Rice University, Houston, TX 77005, USA.ORCID 0000-0002-6635-670X
Juliane R SempionattoDepartment of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA.ORCID 0000-0003-2431-9019

Funding

Rice University, Faculty Fund F10000370
6 · The paper itself

Abstract

Aptamers have emerged as powerful molecular recognition elements for biosensing applications, offering high specificity, stability, and adaptability. This review explores key considerations in designing aptamer-based sensors (aptasensors), with a focus on biomarker selection, aptamer design, and detection and immobilization strategies. However, challenges such as biofluid stability and reversibility must be addressed to improve biosensor performance. In this study, the potential of aptamer-based platforms in diagnostics is explored, emphasizing their advantages and future applications. Looking ahead, advances in multifunctional aptamers, integration with nanomaterials, and computational optimization are highlighted as promising directions for enhancing their effectiveness in biosensing.

Indexed as

Aptamers, NucleotideBiosensing TechniquesOligonucleotidesBiomarkersHumansAptamers, NucleotideBiomarkersOligonucleotidesaptamer biosensorelectrochemical aptasensorhealth monitoring

Identifiers

PMID40422016
PMCPMC12109747

What OpenQuestion holds

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LicenceCC BY
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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.