Evidence map›Paper›PMID 42536102›Full record

ArticleMikrochimica acta2026

A molecularly imprinted electrochemical sensor co-modified with palladium-metallene and graphene nanoribbons for the detection of zearalenone.

Xiaoqi Zheng, Yuan Li, Jie Long, Tianyu Zhang, Binbin Zhou, Shan Li, Li Zhang

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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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1 · What the graph read from it

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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.

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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

7 authors.

Xiaoqi Zheng *College of Chemistry and Chemical Engineering, Hunan Institute of Science and Technology, Yueyang, 414006, Hunan, China.
Yuan Li *College of Chemistry and Chemical Engineering, Hunan Institute of Science and Technology, Yueyang, 414006, Hunan, China.
Jie LongCollege of Chemistry and Chemical Engineering, Hunan Institute of Science and Technology, Yueyang, 414006, Hunan, China.
Tianyu ZhangCollege of Chemistry and Chemical Engineering, Hunan Institute of Science and Technology, Yueyang, 414006, Hunan, China.
Binbin ZhouCollege of Chemistry and Chemical Engineering, Hunan Institute of Science and Technology, Yueyang, 414006, Hunan, China. 12019039@hnist.edu.cn.ORCID https://orcid.org/0000-0002-1754-7710
Shan LiCollege of Chemistry and Chemical Engineering, Hunan Institute of Science and Technology, Yueyang, 414006, Hunan, China. lishanhn84@163.com.
Li ZhangCollege of Chemistry and Chemical Engineering, Hunan Institute of Science and Technology, Yueyang, 414006, Hunan, China. hgx.zl@163.com.

Funding

College Students Innovation and Entrepreneurship Training Program of Hunan Province No. S202510543034 and No. S202510543082Hunan Provincial Natural Science Foundation of China No. 2026JJ80801 and No. 2024JJ7210
6 · The paper itself

Abstract

A composite modified electrochemical sensor was developed based on molecular imprinting technology for zearalenone (ZLE) detection. The sensor was fabricated on a glassy carbon electrode (GCE) by first electrochemically reducing and depositing graphene oxide nanoribbons (rGNR) to form a highly conductive three-dimensional network. Subsequently, palladium-metallene (Pd-Me) was coated to enhance the electrochemical response. Finally, acrylamide molecularly imprinted polymer (AMIP) was polymerized in situ under infrared light to impart specific recognition capability. Performance tests demonstrated that the fabricated sensor (AMIP/Pd-Me/rGNR/GCE) exhibited a linear response to ZLE in the range of 1.0 - 1000 ng/mL, with a detection limit of 0.33 ng/mL (S/N = 3). The sensor also showed good selectivity, repeatability (signal attenuation ≤ 5.63% after five consecutive detections), reproducibility (relative standard deviation, RSD = 2.62%), and storage stability (96.85% signal retention after two weeks at 4 °C). When applied to actual samples (grain flour, soybean flour, and corn flour), the spiked recoveries ranged from 97.26% to 104.09%, with RSD below 4.58%. These results confirm that the sensor can achieve precise quantitative detection of ZLE in complex food matrices. The sensor preparation process, which combines electro-polymerization and coating, is characterized by simple operation, strong film formation, low cost, and ease of miniaturization, offering a promising new approach for the rapid determination of mycotoxins in food safety.

Indexed as

Electrochemical TechniquesGraphiteMolecular ImprintingMolecularly Imprinted PolymersNanotubes, CarbonPalladiumZearalenoneElectrodesFlourFood ContaminationLimit of DetectionGraphiteMolecularly Imprinted PolymersNanotubes, CarbonPalladiumZearalenoneElectrochemical sensorMolecularly imprinted polymerPalladium-metalleneReduced graphene oxide nanoribbonsZearalenone

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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.