Evidence map›Paper›PMID 41149289›Full record

ArticleBiosensors2025

Smartphone-Linked and Electricity-Free Platforms for Rapid Colorimetric Molecular Detection of Poultry Respiratory Viruses at the Point of Need.

Mohamed El-Tholoth, Rabiha Seboussi, Mahmoud Hussein, Salameh Rahmdel, Alanoud Alalawi, Haim H Bau

Abstract read
In one paragraph

Article in Biosensors, 2025. 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.

Mohamed El-TholothHealth Sciences Division, Al Ain Zakhir Campus, Higher Colleges of Technology, Abu Dhabi 17155, United Arab Emirates.ORCID 0000-0002-5253-5168
Rabiha SeboussiCollege of Veterinary Medicine, University of Al Dhaid, Sharjah, United Arab Emirates.
Mahmoud HusseinCollege of Veterinary Medicine, University of Al Dhaid, Sharjah, United Arab Emirates.ORCID 0009-0004-6069-147X
Salameh RahmdelHealth Sciences Division, Al Ain Zakhir Campus, Higher Colleges of Technology, Abu Dhabi 17155, United Arab Emirates.
Alanoud AlalawiHealth Sciences Division, Al Ain Zakhir Campus, Higher Colleges of Technology, Abu Dhabi 17155, United Arab Emirates.
Haim H BauDepartment of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0003-3815-5422

Funding

Higher Colleges of Technology Grant-213639
6 · The paper itself

Abstract

Efficient control measures for respiratory diseases in humans and farm animals require accurate, specific, and rapid diagnostics. Traditional PCR-based molecular diagnostics are restricted to centralized laboratories, which results in significant, potentially catastrophic delays in test results. A case in point is the recent avian flu outbreak, which has culled more than 280 million poultry birds worldwide (over 157 million in the USA alone) since 2022; has spread to other farm animals, such as cattle; has further heightened the risk of a human pandemic; and threatens food security. To enable molecular diagnosis of bird respiratory diseases at the point of need, we employ loop-mediated isothermal amplification (LAMP) in two platforms: (A) portable devices linked to a smartphone and (B) an inexpensive, disposable, electricity-free, instrument-free device with closed-tube, colorimetric detection that can be produced with minimal resources. Smartphone integration offers an unexplored opportunity for spatiotemporal disease mapping, equipping policymakers with critical data for outbreak control. Our assays demonstrated 100% sensitivity and specificity compared to the gold standard, lab-based, quantitative PCR (qPCR). We tested contrived samples of the avian flu H5N1 virus, laryngotracheitis virus (ILTV), and infectious bronchitis virus (IBV) spiked into clinical samples, achieving a detection sensitivity adequate for early infection diagnosis in under 45 min. The test is simple, requires minimal training, and can be performed without refrigeration, making it well-suited for resource-limited settings.

Indexed as

ColorimetryMolecular Diagnostic TechniquesSmartphoneAnimalsHerpesvirus 1, GallidInfectious bronchitis virusInfluenza A Virus, H5N1 SubtypeInfluenza in BirdsNucleic Acid Amplification TechniquesPoultryavian flucolorimetric detectionelectricity-freeH5NIBVILTVLAMPmolecular detectionpoint-of-needsmartphone

Identifiers

PMID41149289
PMCPMC12562839

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.