Evidence map›Paper›PMID 41495258›Full record

ArticleParasitology research2026

Advances and strategies in biosensor-based diagnostics for parasitic infections: a comprehensive scoping review.

Selva Aminizadeh, Gita Alizadeh, Zahra Alizadeh, Balal Khalilzadeh, Zurina Zainal Abidin, Mahdi Marzi, Maria de Lourdes Pereira, Samad Hoseinzadeh, Ehsan Ahmadpour, Raheleh Rafiei-Sefiddashti

Abstract readScoping Review
In one paragraph

Article in Parasitology research, 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

10 authors.

Selva AminizadehDepartment of Medical Parasitology and Mycology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Gita AlizadehDepartment of Parasitology and Mycology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Zahra AlizadehDepartment of Medical Parasitology and Mycology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Balal KhalilzadehStem Cell Research Center (SCRC), Tabriz University of Medical Sciences, Tabriz, Iran.
Zurina Zainal AbidinDepartment of Chemical and Environmental Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang, Selangor, 43400, Malaysia.
Mahdi MarziDepartment of Pharmaceutical Microbiology, Faculty of Pharmacy, Fenerbahce University, Istanbul, Turkey.
Maria de Lourdes PereiraCICECO - Aveiro Institute of Materials, University of Aveiro, Aveiro, 3810-193, Portugal.
Samad HoseinzadehDepartment of Anatomy, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Ehsan AhmadpourInfectious and Tropical Disease Research Center, Tabriz University of Medical Sciences, Tabriz, Iran. ehsanahmadpour@gmail.com.
Raheleh Rafiei-SefiddashtiDepartment of Parasitology and Mycology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran. r.rafiei.sd@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parasitic diseases are among the most widespread infections worldwide, causing millions of deaths and illnesses each year. So rapid and accurate diagnosis is essential, requiring highly sensitive and specific tests. Biosensors can provide significant advantages over traditional diagnostic methods because of their specificity, sensitivity, speed, simplicity, ease of use, repeatability, and capacity for early-stage disease detection. Recent advances in modern diagnostic tools for detecting parasitic infections use nanomaterials such as gold nanoparticles, carbon nanofibers, and carbon nanotubes. These developments have significantly lowered detection limits to the picogram and femtogram levels. This review will cover recent advancements in biosensor-based diagnostic techniques in parasitology.

Indexed as

Biosensing TechniquesDiagnostic Tests, RoutineParasitic DiseasesAnimalsHumansSensitivity and SpecificityBiosensorDiagnosisEarly-stage evaluationParasitic diseases

Identifiers

PMID41495258
PMCPMC12779749

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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.