Evidence map›Paper›PMID 41068334›Full record

ArticleScientific reports2025

Electrochemical sensor based on α-Fe

Abdulrahman Saad Alqahtani, Hashim Elshafie, Azath Mubarakali, Asma AlJarullah, P Parthasarathy, M Venkatesh, S Adarsh Rag

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. A chitosan/rGO/FeRSC advances · 2026
    Article
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.

Abdulrahman Saad AlqahtaniCollege of Computing and Information Technology, University of Bisha, Bisha, 67714, Saudi Arabia.
Hashim ElshafieDepartment of Computer Engineering, College of Computer Science, King Khalid University, Abha, 61421, Saudi Arabia.
Azath MubarakaliDepartment of Informatics and Computer Systems, College of Computer Science, King Khalid University, Abha, 61421, Saudi Arabia.
Asma AlJarullahDepartment of Informatics and Computer Systems, College of Computer Science, King Khalid University, Abha, 61421, Saudi Arabia.
P ParthasarathyDepartment of ECE, CMR Institute of Technology, Bengaluru, 560037, Karnataka, India.
M VenkateshDepartment of ECE, CMR Institute of Technology, Bengaluru, 560037, Karnataka, India.
S Adarsh RagDepartment of Data Science and Computer Applications, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India. adarsh.rs@manipal.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, we describe the creation of a new magneto-electrochemical biosensor that detects metronidazole (MTZ), an antibiotic that is frequently used to treat anaerobic bacterial and protozoal infections, with extreme sensitivity. The sensor platform is engineered by integrating α-Fe

Indexed as

Biosensing TechniquesCarbonElectrochemical TechniquesFerric CompoundsGraphiteMetronidazoleDielectric SpectroscopyElectrodesHumansLimit of DetectionX-Ray DiffractionCarbonFerric Compoundsferric oxidegraphene oxideGraphiteMetronidazoleElectrocatalytic activityMagneto-electrochemical biosensorMetronidazole detectionPharmaceutical and clinical diagnosticsα-Fe2O3/Reduced graphene oxide (rGO)

Identifiers

PMID41068334
PMCPMC12511274

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.