Real-Time and Selective Detection of

Sarah S Albalawi, Naeem Akhtar, Waleed A El-Said

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. 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

3 authors.

Sarah S AlbalawiDepartment of Chemistry, College of Science, University of Jeddah, P.O. Box 80327, Jeddah 21589, Saudi Arabia.

Naeem AkhtarInstitute of Chemical Sciences, Bahauddin Zakariya University (BZU), Multan 60800, Pakistan.ORCID 0000-0001-9382-5869

Waleed A El-SaidDepartment of Chemistry, College of Science, University of Jeddah, P.O. Box 80327, Jeddah 21589, Saudi Arabia.

Funding

University of Jeddah UJ-24-DR-2557-1

6 · The paper itself

Abstract

The alarming rise in foodborne illnesses, particularly those associated with microbial contamination in meat products, presents a serious challenge to global food safety. Among these microbial threats,

Indexed as

Biosensing TechniquesPseudomonas aeruginosaRed MeatAnimalsAptamers, NucleotideCalcium CompoundsCattleElectrochemical TechniquesElectrodesFood MicrobiologyGraphiteLimit of DetectionNitrogen CompoundsOxidesTitaniumAptamers, NucleotideCalcium CompoundsGraphitegraphitic carbon nitrideNitrogen CompoundsOxidesperovskiteTitaniumaptasensorbacteriabiosensorfoodborne diseasesgraphitic carbon nitridemetal oxidesPseudomonas aeruginosa

Identifiers

PMID41149287

DOI10.3390/bios15100634

PMCPMC12564328

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.