Evidence map›Paper›PMID 42360495›Full record

ReviewArchives of microbiology2026

Electrochemical and optical biosensors as transformative tools for multiplex detection of influenza viruses.

Farzin Hadinia, Mousa Ahmadi Marallu, Nadia Nasirzadeh Kolsari, Abolghasem Hadinia, Ahmad Movahedpour, Sajad Ehtiati

Abstract readReview
PubMed Publisher
In one paragraph

Review in Archives of microbiology, 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

6 authors.

Farzin Hadinia *Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
Mousa Ahmadi Marallu *Department of Cell and Molecular Biology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, 19839-69411, Tehran, Iran.
Nadia Nasirzadeh KolsariDepartment of Medical Virology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Abolghasem HadiniaCellular and Molecular Research Center, Yasuj University of Medical Sciences, Yasuj, Iran.
Ahmad MovahedpourCellular and Molecular Research Center, Yasuj University of Medical Sciences, Yasuj, Iran. ahmad.movahed14@gmail.com.
Sajad EhtiatiStudent Research Committee, Department of Clinical Biochemistry, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran. sajadehtiaty@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The influenza viruses (IVs) are major public health risk, causing immense seasonal infections, severe illness, and respiratory deaths yearly. Rapid, accessible, and precise detection is essential because the IV RNA genome facilitates genetic recombination and rapid mutation, potentially leading to new pandemic strains that evade existing diagnostic methods. Conventional gold standard technique is constrained by high costs, long turnaround times and dependence on specialized laboratory infrastructure, limiting their utility in urgent point of care (PoC) settings. To address these challenges, biosensors are emerging as a notable alternative, offering high sensitivity, speed, affordability, and portability. This paper examines the evolution of biosensing technologies for IV detection, focusing specifically on electrochemical and optical platforms. Optical biosensors, which mainly include plasmonic (SPR/LSPR), luminescent, Raman scattering, colorimetric, and interferometric systems, are valued for their exceptional sensitivity, specificity, and ability to provide real time, label free results, thereby simplifying the diagnostic workflow. Concurrently, electrochemical biosensors, including mostly amperometric, potentiometric, and impedimetric configurations, are highly suitable for PoC device miniaturization by translating biorecognition events into measurable electrical signals. Recent advancements across both modalities often utilize nanomaterials like metal nanoparticles, aptamers, and molecularly imprinted polymers to significantly enhance detection limits and selectivity, enabling the differentiation of distinct influenza strains and subtypes. Ultimately, the integration of these sensitive biosensor platforms with emerging technologies such as microfluidics and artificial intelligence is vital for creating automated, miniaturized tools that will form the foundation of next generation influenza detection and support global public health preparedness.

Indexed as

Biosensing TechniquesElectrochemical TechniquesInfluenza, HumanOrthomyxoviridaeHumansPoint-of-Care SystemsRapid Diagnostic TestsSensitivity and SpecificityElectrochemical biosensorsInfluenza virusNanomaterials-based diagnosticsOptical biosensorsPublic healthViral biosensing technology

Identifiers

PMID42360495

What Socratic holds

Textmetadata
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 Socratic graph.