Evidence map›Paper›PMID 42706434›Full record

ArticleMikrochimica acta2026

Development of a self-signaling electrochemical sensor utilizing CoNiFe-PBA for detection of Bisphenol A in food samples.

Zitong Yang, Jingyu Deng, Yili Zhang, Wenkai Qi, Yuxia Zhang

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In one paragraph

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

The trial behind it

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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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0 citing papers in PubMed.

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4 · The record

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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

5 authors.

Zitong YangKey Laboratory of Hunan Province for Advanced Carbon-based Functional Materials, School of Chemistry and Chemical Engineering, Hunan Institute of Science and Technology, Yueyang, 414006, China.
Jingyu DengKey Laboratory of Hunan Province for Advanced Carbon-based Functional Materials, School of Chemistry and Chemical Engineering, Hunan Institute of Science and Technology, Yueyang, 414006, China.
Yili ZhangKey Laboratory of Hunan Province for Advanced Carbon-based Functional Materials, School of Chemistry and Chemical Engineering, Hunan Institute of Science and Technology, Yueyang, 414006, China.
Wenkai QiKey Laboratory of Hunan Province for Advanced Carbon-based Functional Materials, School of Chemistry and Chemical Engineering, Hunan Institute of Science and Technology, Yueyang, 414006, China.
Yuxia ZhangKey Laboratory of Hunan Province for Advanced Carbon-based Functional Materials, School of Chemistry and Chemical Engineering, Hunan Institute of Science and Technology, Yueyang, 414006, China. zyxia2010@126.com.

Funding

The Hunan Provincial Education Department Scientific Research Fund 24A0471The Natural Science Foundation of Hunan Province 2025JJ80205
6 · The paper itself

Abstract

A self-signaling electrochemical sensor based on molecular imprinting technology for the detection of Bisphenol A (BPA) in food samples. The sensor was constructed through sequential modification of the electrode with reduced graphene oxide (RGO) and CoNiFe Prussian blue analogue (CoNiFe-PBA), followed by electropolymerization of an MIP film using BPA as template and o-phenylenediamine as monomer. CoNiFe-PBA provides an intrinsic signal at ~ 0.47 V without external probes, originating from synergistic redox interactions among Co, Ni, and Fe. BPA rebinding reduces the signal via steric hindrance, enabling sensitive detection in food samples. Under optimal conditions, the sensor demonstrated a wide linear detection range (0.5-500 nM) and a low detection limit (0.19 nM). Owing to its high selectivity, sensitivity, and accuracy, the sensor offers a reliable approach for precise quantification of trace BPA in complex food matrices.

Indexed as

Benzhydryl CompoundsElectrochemical TechniquesFerrocyanidesFood AnalysisFood ContaminationPhenolsBisphenol A CompoundsElectrodesGraphiteLimit of DetectionMolecular ImprintingMolecularly Imprinted PolymersPhenylenediaminesBenzhydryl Compoundsbisphenol ABisphenol A Compoundsferric ferrocyanideFerrocyanidesgraphene oxideGraphiteMolecularly Imprinted PolymersPhenolsPhenylenediaminesBisphenol ACoNiFe-PBAMolecularly imprinted polymerSelf-signaling electrochemical sensor

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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.