Evidence map›Paper›PMID 41979689›Full record

ReviewMikrochimica acta2026

Potential biomarkers and their recent applications ofr point-of-care biosensors for the diagnosis of malaria.

Leyla Karadurmus, Ahmet Cetinkaya, Pinar Kocabay, Menyar Ben Jaballah, Eva Baldrich, Sibel A Ozkan

Abstract readReview
In one paragraph

Review in Mikrochimica acta, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Leyla KaradurmusFaculty of Pharmacy, Department of Analytical Chemistry, Adıyaman University, Adıyaman, Türkiye.
Ahmet CetinkayaGülhane Faculty of Pharmacy, Department of Analytical Chemistry, University of Health Sciences, Ankara, Türkiye.
Pinar KocabayFaculty of Pharmacy, Department of Analytical Chemistry, Ankara University, Ankara, Türkiye.
Menyar Ben JaballahDiagnostic Nanotools Group, Vall d'Hebron Hospital Institut de Recerca (VHIR), Barcelona, Spain.
Eva BaldrichDiagnostic Nanotools Group, Vall d'Hebron Hospital Institut de Recerca (VHIR), Barcelona, Spain.
Sibel A OzkanFaculty of Pharmacy, Department of Analytical Chemistry, Ankara University, Ankara, Türkiye. ozkan@pharmacy.ankara.edu.tr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malaria remains to be one of the deadliest infectious illnesses and is especially common in underdeveloped and developing countries. Recent advances (2022–2025) in biosensor engineering, nanomaterials, and microfluidic automation have significantly expanded the capabilities of point-of-care diagnostic technologies for malaria. With the guidance of the World Health Organization (WHO) and the international community, malaria-endemic lands have achieved measurable advances in disease control and elimination. Globally, we are witnessing an increase in cases of clinically atypical malaria and asymptomatic carriers, which contributes to misdiagnosis and missed diagnosis. Other challenges include climate change, socioeconomic inequality, limited healthcare infrastructure, the emergence of new vector species, and increasing resistance to antimalarial drugs and insecticides. This shows that additional efforts will be needed if malaria is to be eradicated. Creating simple, practical, and affordable integrated biosensors is essential to diagnose early-stage malaria. In this context, one of the main challenges is converting complex biosensor techniques into affordable point-of-care testing (POCT) technologies that could be employed close to the patient without requiring skilled professionals or special infrastructures. Unlike recent reviews that primarily focus either on biomarker discovery or broadly on POC technologies, this work provides a comparative and mechanistic evaluation of electrochemical, optical, and piezoelectric biosensors, emphasizing primary research articles. Particular attention is given to signal transduction mechanisms, analytical trade-offs, microfluidic integration strategies, and real-world deployability considerations. This review gives general information about the biomarkers used for malaria diagnosis and summarizes some prominent examples of biosensors described in previous studies for malaria detection POCT making use of different transduction formats. The work finishes with some general conclusions, demanding to progress the design of portable point-of-care diagnostic technologies and further research to achieve sensitive quantification of biomarker panels as the key to the future of malaria detection and global control.

Indexed as

Biosensing TechniquesMalariaPoint-of-Care SystemsPoint-of-Care TestingBiomarkersHumansRapid Diagnostic TestsBiomarkersBiomarkersBiosensorsClinical diagnosisMalariaMalaria diagnosisMedical devicesPoint-of-care

Identifiers

PMID41979689
PMCPMC13079527

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.