Evidence map›Paper›PMID 41698972›Full record

ArticleScientific reports2026

An engineered M13 phage-rGO electrochemical biosensor for rapid detection of viral protein in complex matrices.

Hamda Y Alshehhi, Lina Tizani, Selvakumar Palanisamy, Mohamed I Helal, Habiba Alsafar, Shadi W Hasan, Ahmed F Yousef

Abstract read
In one paragraph

Article in Scientific reports, 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

7 authors.

Hamda Y AlshehhiDepartment of Biological Sciences, Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates.
Lina TizaniCenter for Membranes and Advanced Water Technology (CMAT), Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates.
Selvakumar PalanisamyCenter for Membranes and Advanced Water Technology (CMAT), Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates.
Mohamed I HelalElectron Microscopy Core Labs, Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates.
Habiba AlsafarCenter for Biotechnology (BTC), Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates.
Shadi W HasanCenter for Membranes and Advanced Water Technology (CMAT), Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates.
Ahmed F YousefDepartment of Biological Sciences, Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates. ahmed.yousef@ku.ac.ae.

Funding

Khalifa University of Science, Technology and Research Center for Biotechnology (BTC)Khalifa University of Science, Technology and Research CMAT (RC2-2018-009)Khalifa University of Science, Technology and Research RIG-2023-032
6 · The paper itself

Abstract

The demand for rapid and scalable biosensing technologies has motivated the development of antibody-free platforms capable of operating in complex sample environments. Here, we report an electrochemical biosensor based on engineered M13 bacteriophages displaying a SARS-CoV-2 spike S1-binding peptide immobilized on a reduced graphene oxide (rGO) transducer. The sensor employs a chemiresistive detection mechanism under a fixed low-voltage bias, enabling rapid electrical readout following target binding. Detection of S1 protein was achieved in buffer and in spiked complex matrices, including fetal bovine serum, pasteurized milk, and wastewater, demonstrating matrix tolerance under the tested conditions. The biosensor response is evaluated using a statistically defined binary detection criterion, with an operational limit of detection of 10⁻

Indexed as

Bacteriophage M13Biosensing TechniquesElectrochemical TechniquesGraphiteSARS-CoV-2Spike Glycoprotein, CoronavirusAnimalsHumansLimit of DetectionMilkgraphene oxideGraphiteSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2AntibodiesApplied microbiologyElectro-biosensorGraphene oxidePhage display

Identifiers

PMID41698972
PMCPMC13000251

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.