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Exploring the economic viability of electrochemical assessment for water contaminants with NiFe-PBA/ZIF-67 core shell modified GCE. | LitMetric

AI Article Synopsis

  • Zeolitic Imidazolate Frameworks (ZIFs) and Prussian Blue Analogues (PBAs) are effective materials for electrochemical sensors, and the study developed a composite of NiFe-PBA and ZIF-67 for better detection of furazolidone (FZD) on glassy carbon electrodes.
  • The NiFe-PBA/ZIF-67 composite showed high sensitivity, selectivity, and a low limit of detection (LOD) at 0.007 μM for FZD, indicating its effectiveness for real-world applications.
  • The electrochemical tests revealed a diffusion-controlled process with strong performance in distinguishing FZD from potential interferents, showcasing the sensor's reproducibility and stability through extensive evaluations.

Article Abstract

Zeolitic Imidazolate (metal organic) Frameworks (ZIFs) and Prussian Blue Analogues (PBAs) are promising materials in electrochemical sensing due to their unique properties. In this study, a composite material comprising NiFe-PBA and ZIF-67 was synthesized and made to form a uniform layer onto a glassy carbon electrode (GCE) to enhance electrochemical performance for furazolidone (FZD) detection. The synthesized NiFe-PBA/ZIF-67 composite exhibited excellent sensitivity, selectivity, and stability towards FZD detection, with a low limit of detection (LOD). The electrochemical behaviour of FZD on the NiFe-PBA/ZIF-67/GCE electrode was investigated, revealing a diffusion-controlled process. Differential pulse voltammetry (DPV) analysis demonstrated the synergetic effect of the PBA/MOF core-shell structure in enhancing FZD electro-reduction. The sensor exhibited exceptional LOD of 0.007 μM. Selectivity studies confirmed the sensor's ability to distinguish FZD from potential interferents. Extensive evaluations demonstrated the sensor's reproducibility, repeatability, and long-term stability, affirming its practical utility. Real sample analysis further validated the sensor's excellent analytical capabilities in diverse matrices.

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Source
http://dx.doi.org/10.1016/j.envres.2024.119710DOI Listing

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