ArticleMikrochimica acta2026
Electrospun polyacrylonitrile-metal-organic framework derived N-doped porous carbon nanofibers loaded with MoS
Article in Mikrochimica acta, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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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Who cites it
1 citing paper in PubMed.
- PdMo Bimetallene as a High-Performance Electrochemical Sensor for the Selective Detection of Dopamine.International journal of molecular sciences · 2026Article
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Authors and funding
6 authors.
Funding
Abstract
As crucial biomarkers, the rapid and sensitive detection of dopamine (DA) and uric acid (UA) is essential for disease prevention and diagnosis. In this study, MoS2/MoO2 heteronanorod modified N-doped porous carbon nanofiber (N-PCNFs@MoS2/MoO2) sensing electrodes for the simultaneous detection of DA and UA were fabricated by electrostatic spinning coupled with vulcanization reaction. The carbonization treatment of the ZIF-8/PAN precursor endows material with hierarchical pores and a highly conductive network, which significantly increases the specific surface area and active sites and provides a fast electron transport channel for electrochemical reactions. Moreover, the synergistic effect of MoS2/MoO2 optimizes the ion transport pathway and further enhances the electrocatalytic performance. Experimental results show that the electrode exhibites excellent performance for the simultaneous detection of DA and UA. The linear range for DA detection is 0.5–35 µM with a limit of detection (LOD) of 0.038 µM (S/N = 3), while UA shows a two-segment linear response with linear ranges of 1–20 µM and 20–110 µM, respectively, and a LOD of 0.245 µM (S/N = 3). This electrode is capable of realizing the simultaneous detection of DA and UA in human serum, showing a broad application prospect in the field of biosensing.
Indexed as
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Registered trials
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