Evidence map›Paper›PMID 42635655›Full record

ArticleMikrochimica acta2026

Development of a NiCoFe-LDH/Ketjenblack-enhanced electrochemical antibacterial peptide biosensor for Aeromonas hydrophila detection in seawater samples.

Ahmet Akif Kızılkurtlu, Kübra Arancı, Sevgi Gülyüz, Zeynep Sude Cifcibasi, Sevde Altuntas, Özgür Yılmaz

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Article in Mikrochimica acta, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ahmet Akif KızılkurtluDepartment of Biomedical Engineering, Faculty of Engineering and Natural Sciences, Istanbul Atlas University, Istanbul, 34403, Türkiye, Turkey.
Kübra ArancıThe Scientific and Technological Research Council of Türkiye Marmara Research Center (TÜBİTAK MRC), Kocaeli, Türkiye, Turkey.
Sevgi GülyüzThe Scientific and Technological Research Council of Türkiye Marmara Research Center (TÜBİTAK MRC), Kocaeli, Türkiye, Turkey.
Zeynep Sude CifcibasiExperimental Medicine Research and Application Center, University of Health Sciences Turkey, Istanbul, 34662, Turkey.
Sevde AltuntasExperimental Medicine Research and Application Center, University of Health Sciences Turkey, Istanbul, 34662, Turkey.
Özgür YılmazThe Scientific and Technological Research Council of Türkiye Marmara Research Center (TÜBİTAK MRC), Kocaeli, Türkiye, Turkey. yilmaz.ozgur@tubitak.gov.tr.ORCID https://orcid.org/0000-0003-3892-2775

Funding

The Scientific and Technological Research Council of Turkey 22AG069
6 · The paper itself

Abstract

Rapid, sensitive detection of the fish pathogen Aeromonas hydrophila in aquaculture is vital for animal health and preventing economic losses. We provide an electrochemical biosensor for A. hydrophila based on an antibacterial peptide, using a ternary NiCoFe layered double hydroxide (NiCoFe-LDH)- incorporated Ketjenblack as the substrate. This is, to our knowledge, the first A. hydrophila biosensor that is both based on an electrochemical platform using an antibacterial peptide as a biorecognition layer and tested in seawater. The NiCoFe-LDH/Ketjenblack nanocomposite is synthesized via one-pot precipitation. It exhibits a high-activity nanosheet structure with fast electron transfer, as confirmed by XRD, SEM, EIS, and CV. A screen-printed carbon electrode is modified with the interface, coupling LDH-carbon signal amplification with peptide-mediated recognition, with independent support from electrochemical characterization and ligand-tracer affinity studies. Under optimized conditions at room temperature, linearity to 10¹- 10⁶ CFU/mL, LOD of 4.17 CFU/mL and LOQ of 7.34 in 30 min, RSDs < 6%, little cross-reaction with other bacteria, and 97-102% of the PBS response in spiked seawater.

Indexed as

Aeromonas hydrophilaAnti-Bacterial AgentsAntimicrobial PeptidesBiosensing TechniquesElectrochemical TechniquesSeawaterCobaltElectrodesHydroxidesLimit of DetectionAnti-Bacterial AgentsAntimicrobial PeptidesCobaltHydroxidesAeromonas hydrophilaAntibacterial peptideAquaculture pathogenElectrochemical biosensorNiCoFe layered double hydroxide

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Registered trials

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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.